Brandeis UniversitySteinhardt Social Research Institute

RACE, COMMUNITY, AND BELONGING:Revisiting Student Concerns at Brandeis University

Graham WrightMichelle Shain

Shahar HechtLeonard Saxe

Technical Appendices February 2019

Table of Contents

Appendix A: Methodology .................................................................................................. 1

Appendix B: Coding Paradigms and Additional Analyses ................................................... 2

Appendix C: Tables .............................................................................................................. 5

Appendix D: Survey Instrument ...................................................................................... 106

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Appendix A: Methodology Sampling The sampling frame for this study is comprised of a list of all undergraduate students ages 18 or over as of February 9, 2018. The list was provided by the Brandeis registrar’s office and included 3,516 students. A simple random sample of 1,757 students was drawn from the frame.

Survey Administration The survey was conducted online using the Limesurvey platform (Version 2.67.1+170626). Invitations to participate in the survey were emailed on February 27, 2018. Invitations were followed by three reminders sent on March 2, March 8, and March 15, 2018. The survey was closed on March 21, 2018. All respondents were informed that upon completion of the full survey they would receive a $10 Amazon.com gift certificate. Upon completion of the survey, respondents were asked to provide an email address for their sending a gift code. Respondents were given the opportunity to opt-out of receiving a gift card; two respondents did so.

Dispositions and Response Rates During the course of the study eleven individuals were found to be ineligible for the study by virtue of not being students at Brandeis at the time of the survey. These individuals were dropped from the sample, leaving only 1,746 eligible individuals in the sample. The table below reports final dispositions and response rates by class year. Individuals who had completed at least the Religion and Ethnicity section of the survey were considered “partials” if they did not complete the remainder of the survey. Individuals who dropped out of the survey prior to the Religion and Ethnicity section were considered “break-offs.” The total response rate for the survey was 54.3% (AAPOR RR2).

Table A1: Dispositions and Response Rates

First years Sophomores Juniors Seniors Total Complete 277 265 188 179 909 Partial 12 12 11 4 39 Break-off 15 14 8 10 47 Not Complete 179 200 184 188 751 Total Eligible Sample 483 491 391 381 1746 AAPOR Response Rate 2 59.8% 56.4% 50.9% 48.0% 54.3%

Weighting Weights were calculated to adjust for differences between the characteristics of respondents and known characteristics of the population, with respect to class year and international student status. Unfortunately, it was not possible to weight the achieved sample by race and ethnicity because of limitations in the data available from the Brandeis registrar’s office.

Weights were applied to all analyses involving one or two way tables of frequencies but were not applied to regression analyses. Weighted analyses were conducted using the “svy” suite of command in Stata, and confidence intervals and Chi square tests produced for such analyses account for the sampling characteristics of the data.

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Appendix B: Coding paradigms and Additional Analyses

Construction of Race Variable The survey question that asked about race and ethnicity allowed respondents to select multiple options to best represent how they describe themselves. A small number (N=65, 6%) of respondents chose two or more races. For these respondents, we privileged non-White classifications for analysis purposes. A hierarchy of responses was created to classify people who indicated they had multiple races: Hispanic, Black, East Asian, Other Asian, Other Ethnicity, and White. The race a respondent identified with that was highest on that list determined how they were categorized for analysis. For example, a respondent who identified as Hispanic and Black was coded as Hispanic. This follows the technique used by the US Census1 to ask about Hispanic status separately from race and to consider respondents who indicate that they consider themselves Hispanic to be Hispanic, regardless of other racial definitions.

Our categories were constructed from the following individual response options:

· Hispanic – “Mexican American/Chicano/a,” “Puerto Rican,” “Other Latino/a” · Black – “Black/African American” · East Asian – “East Asian (e.g., Chinese, Japanese, Korean, Taiwanese)” · Other Asian – “South Asian (e.g., Indian, Pakistani, Nepalese, Sri Lankan)”, “Southeast Asian

(e.g., Cambodian, Vietnamese, Hmong, Filipino),” “Other Asian” · Other Ethnicity – “American Indian/Alaskan Native,” “Native Hawaiian/Pacific Islander,” “Arab,”

any other-text response not classifiable into an existing category · White – “White/Caucasian”

Construction of Jewish Status Variable In both the 2016 and 2018 surveys of Brandeis undergraduates, a respondent’s Jewish status was categorized based on answers to several questions: a primary religion question, a secondary religion question, a Jewish aside from religion question, and questions that determined the religion of the respondent’s parent(s). Regardless of their religious identification, 35% of 2018 Brandeis undergraduates reported that they have at least one Jewish parent. This includes 28% with two Jewish parents and 7% with one Jewish parent.

Based on data from these sources, this report’s categorization of Jewish respondents is as follows:

Jewish by religion: Respondents were placed in this category if they selected “Jewish” in response to the primary religion question and did not select any religion other than “Jewish” in response to the secondary religion question. In the 2018 study of Brandeis undergraduates, 83% of undergraduates with two Jewish parents and 51% of those undergraduates with one Jewish parent identified as Jewish by religion.

1 See http://www.census.gov/prod/cen2010/briefs/c2010br-02.pdf

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Jewish, no religion: Respondents were placed in this category if they did not select “Jewish” as their primary or secondary religion but did indicate that they considered themselves to be fully or partially Jewish “aside from religion.” Thirteen percent of 2018 Brandeis undergraduates with two Jewish parents and 29% of those with one Jewish parent identified as Jewish, no religion.

All other respondents were considered “not Jewish.” This includes respondents who indicated that their primary religion was “Jewish” but then selected another religion for a secondary religion, or who indicated a religion other than “Jewish” in their primary religion but selected “Jewish” as their secondary religion (1% of all undergraduates in 2018). It also includes respondents with a Jewish parent who did not indicate they were Jewish by either religion or aside from religion (3% of all undergraduates in 2018).

Homophily of Social Networks by Race/Ethnicity and Religion In our analysis of friendship patterns across different groups at Brandeis we adjusted for the different proportions of each ethnic groups in the Brandeis student population, by adapting a measure used in the study of social networks known as the Coleman homophily index (Coleman, 1958). In the study of social networks, the term homophily is used to describe the tendency of people with similar characteristics to associate with one another. For each group the Coleman homophily index 𝐻𝐻𝐻𝐻 is calculated as

𝐻𝐻𝐻𝐻 = 𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝐻𝐻𝑃𝑃𝑃𝑃 𝑓𝑓𝑃𝑃𝐻𝐻𝑓𝑓𝑃𝑃𝑓𝑓𝑓𝑓 𝑤𝑤ℎ𝑃𝑃 𝑎𝑎𝑃𝑃𝑓𝑓 𝑃𝑃ℎ𝑓𝑓 𝑓𝑓𝑎𝑎𝑠𝑠𝑓𝑓 − 𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝐻𝐻𝑃𝑃𝑃𝑃 𝑃𝑃𝑓𝑓 𝑔𝑔𝑃𝑃𝑃𝑃𝑔𝑔𝑃𝑃 𝐻𝐻𝑃𝑃 𝑃𝑃𝑃𝑃𝑃𝑃𝑔𝑔𝑝𝑝𝑎𝑎𝑃𝑃𝐻𝐻𝑃𝑃𝑃𝑃

1 − 𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝐻𝐻𝑃𝑃𝑃𝑃 𝑃𝑃𝑓𝑓 𝑔𝑔𝑃𝑃𝑃𝑃𝑔𝑔𝑃𝑃 𝐻𝐻𝑃𝑃 𝑃𝑃𝑃𝑃𝑃𝑃𝑔𝑔𝑝𝑝𝑎𝑎𝑃𝑃𝐻𝐻𝑃𝑃𝑃𝑃

Although we do not know the average proportion of a student’s friends who are the same race, we can still use this formula to adjust the proportion of students of a given race who have “all” or “mostly” friends of that same race, as reported in Table 7 in the main report, and account for fact that some racial/ethnic groups are more common on campus than others. The original 𝐻𝐻𝐻𝐻 measure was constructed so that, for a given ethnicity, it would equal zero if social connections across races were formed purely by chance, that is, that individuals of that race had no particular tendency to form friendships with others of their own race. In this adapted form a value of zero indicates that the proportion of individuals of a given race with all or mostly friends of the same race is the same as the incidence of that race in the population. For example, if Whites were 50% of the population, and 50% of Whites had “all or mostly” White friends, the adapted 𝐻𝐻𝐻𝐻 measure would equal zero. However, if Whites were only 20% of the population, but 50% of Whites still had all or mostly White friends, their adapted 𝐻𝐻𝐻𝐻 measure would equal .375, reflecting the fact that having 50% of Whites have all or mostly friends of the same race seems far less likely to have resulted from random chance in a population where Whites make up only 20% of the population, compared to a population where they make up half of the population. While the values produced by the adapted 𝐻𝐻𝐻𝐻 measure do not have the same intuitive interpretation as the original measure, they still allow for a comparison of the homophily of different groups on campus which accounts for their varying incidences in the population. The adapted score would equal 1 if all individuals of a given race had all or mostly friends of their own race. Homophily scores can also be negative, suggesting that individuals of a given group have a propensity to disassociate from one another. A value of -1 is the lowest possible score, implying that no individuals of a given race have all or mostly friends of their own race.

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Tables B1 and B2 show the two componenty of the Hi score and the calculated score itself for each group discussed in Table 9 of the main report, seperatly for the 2016 and 2018 surveys. Note that for international students (of any race) the Hi score was calculated in reference to the proportion of friends who were also international students (of any race).

Table B1: Homophily Calculations for 2016 Survey

Population

incidence

Percentage with all or mostly friends same race

/ international status Hi score Hispanic 8% 7% -0.00184 Black 6% 49% 0.45734 Asian 32% 53% 0.309024 White 51% 70% 0.385408 International 20% 44% 0.304614

Table B2: Homophily Calculations for 2018 Survey

Population

incidence

Percentage with all or mostly friends same race

/ international status Hi score Hispanic 8% 14% 0.055179 Black 6% 52% 0.488559 Asian 33% 45% 0.176241 White 48% 68% 0.391556 International 22% 42% 0.25448

These data show that, in both years, Black students have the highest Hi score and whites have the second highest. Hispanic students have the lowest Hi score in both years and, in fact, have a negative score in 2016. Although the Hi scores for Asian students declined substantially between 2016 and 2018, Asians had the third highest Hi score among the four racial/ethnic groups in both years. Thus the substantive results of this analysis confirm those presented in Table 9 of the main report.

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Appendix C: Tables

This appendix contains the complete results of all analyses discussed in the report. In cases where the analyses reported results from two-way tables of frequencies, the full tables are reproduced here, with 95 percent confidence intervals around each cell value and design-adjusted Chi square tests. Results from binary and ordered logistic regression models referenced in the text are presented here as well.

Table C1: Race and ethnicity: 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,927 Number of PSUs = 1,927 Population size = 7,086.4547 Design df = 1,925 ----------------------------------------------------------------------- COMB Ethnicity - Census | RECODE of surveyyear style | 2016 2018 Total --------------------------+-------------------------------------------- 1. Hispanic | .0764 .0848 .0805 | [.0633,.0919] [.0708,.1013] [.0707,.0916] | 2. Black | .0565 .056 .0563 | [.0457,.0697] [.0444,.0705] [.0481,.0658] | 3. East Asian | .2504 .2588 .2545 | [.2266,.2759] [.2327,.2866] [.2367,.2732] | 4. Other Asian | .0735 .0745 .074 | [.0605,.0892] [.0605,.0914] [.0642,.0852] | 5. Other ethnicity | .0282 .0446 .0363 | [.0206,.0386] [.0342,.058] [.0296,.0444] | 6. White | .5148 .4813 .4984 | [.4878,.5418] [.4531,.5098] [.4788,.518] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 5.1997 Design-based F(4.97, 9571.33)= 1.3370 P = 0.2455

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Table C2: Gender: 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,935 Number of PSUs = 1,935 Population size = 7,116.4548 Design df = 1,933 ----------------------------------------------------------------------- | RECODE of surveyyear COMB Gender | 2016 2018 Total --------------------------+-------------------------------------------- 0. Male | .4127 .4011 .407 | [.3865,.4394] [.3732,.4296] [.3878,.4264] | 1. Female | .5815 .5825 .582 | [.5547,.6078] [.5539,.6105] [.5625,.6012] | 2. Other | .0058 .0165 .0111 | [.0029,.0114] [.0111,.0245] [.0078,.0156] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(2) = 5.1454 Design-based F(1.99, 3845.61)= 3.5287 P = 0.0297

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Table C3: Sexual orientation: 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample)

Number of strata = 2 Number of obs = 1,892 Number of PSUs = 1,892 Population size = 6,949.197 Design df = 1,890 ----------------------------------------------------------------------- | RECODE of surveyyear COMB Sexual orientation | 2016 2018 Total --------------------------+-------------------------------------------- 1. Straight | .8551 .786 .8209 | [.8351,.873] [.7623,.8079] [.8056,.8351] | 2. Gay/Les | .034 .0356 .0348 | [.0254,.0454] [.026,.0487] [.0281,.0431] | 4. Bi | .0417 .079 .0602 | [.0321,.054] [.0655,.095] [.0517,.0699] | 5. Queer | .008 .0338 .0208 | [.0044,.0144] [.0257,.0445] [.0162,.0266] | 6. Other | .0201 .0222 .0211 | [.014,.0289] [.0155,.0317] [.0164,.0273] | 7. Multiple | .0411 .0434 .0423 | [.0318,.053] [.0336,.0559] [.0353,.0506] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 29.0591 Design-based F(4.98, 9409.56)= 8.0337 P = 0.0000

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Table C4: Religious affiliation: 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,918 Number of PSUs = 1,918 Population size = 7,051.5318 Design df = 1,916 ----------------------------------------------------------------------- RECODE of relnow (COMB | RECODE of surveyyear Current religion) | 2016 2018 Total --------------------------+-------------------------------------------- None | .4169 .4859 .4507 | [.3903,.444] [.4573,.5147] [.4312,.4705] | jewish | .3109 .2733 .2925 | [.2869,.3359] [.2494,.2986] [.2754,.3101] | Christian | .188 .177 .1826 | [.1682,.2095] [.1565,.1994] [.1682,.1979] | muslim | .0247 .0223 .0235 | [.0171,.0355] [.0147,.0337] [.0179,.0309] | hindu | .0218 .0159 .0189 | [.0151,.0313] [.0099,.0254] [.0141,.0252] | buddhist | .0184 .0151 .0168 | [.0124,.0271] [.0093,.0243] [.0123,.0227] | other | .0194 .0105 .0151 | [.0132,.0286] [.0063,.0175] [.011,.0205] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(6) = 11.5297 Design-based F(5.95, 11405.89)= 2.4318 P = 0.0241

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Table C5: Highest level of education achieved by parent: 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 869 Number of PSUs = 869 Population size = 3,224.5784 Design df = 868 -------------------------------------------------------------- highest degree by either | parent | proportion lb ub --------------------------+----------------------------------- 1. Junior high/Middle sch | .0089 .0048 .0165 2. Some high school | .0164 .0107 .0251 3. High school graduate | .0334 .0247 .045 4. Postsecondary school o | .0188 .0116 .0302 5. Some college | .0602 .0472 .0765 6. College degree (BA, BS | .2309 .2057 .2581 7. Some graduate school | .0368 .0268 .0504 8. Graduate degree (MA, M | .5946 .5645 .6241 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion

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Table C6: Median income quintile of ZIP code at time of application: 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,529 Number of PSUs = 1,529 Population size = 5,198.1482 Design df = 1,527 ----------------------------------------------------------------------- Median income of ZIP when | RECODE of surveyyear applied (domestic only) | 2016 2018 Total --------------------------+-------------------------------------------- 2nd quintile (or less for | .0838 .0836 .0837 | [.0681,.1027] [.0676,.1029] [.0722,.0969] | 3rd quintile | .3058 .3011 .3035 | [.278,.3351] [.2725,.3313] [.2834,.3244] | 4th quintile | .3645 .4059 .3844 | [.3352,.3948] [.3747,.4377] [.363,.4063] | Highest quintile | .2459 .2095 .2284 | [.2202,.2737] [.1845,.2368] [.2102,.2476] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(3) = 3.9559 Design-based F(3.00, 4580.88)= 1.6711 P = 0.1710

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Table C7: Median income quintile of ZIP code by race/ethnicity: 2018 (domestic students only). Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 666 Number of PSUs = 666 Population size = 2,234.7413 Subpop. no. obs = 666 Subpop. size = 2,234.7413 Design df = 665 -------------------------------------------------------------------------------------- Median income of ZIP when | COMB Ethnicity, 4 category applied (domestic only) | 1. Hispa 2. Black 3. East 6. White --------------------------+----------------------------------------------------------- 2nd quintile (or less for | .2094 .2863 .0715 .0497 | [.138,.3047] [.1802,.4226] [.0369,.134] [.0347,.0705] | 3rd quintile | .4819 .5343 .2967 .2463 | [.3797,.5857] [.4019,.662] [.2224,.3836] [.2117,.2846] | 4th quintile | .2153 .1568 .418 .4694 | [.1404,.3153] [.0819,.2794] [.3337,.5073] [.4275,.5116] | Highest quintile | .0934 .0226 .2139 .2346 | [.0482,.1733] [.0039,.1218] [.1505,.2948] [.2008,.2723] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- ----------------------------------------- | COMB | Ethnicity, 4 Median income of ZIP when | category applied (domestic only) | Total --------------------------+-------------- 2nd quintile (or less for | .0862 | [.0689,.1074] | 3rd quintile | .2989 | [.2683,.3315] | 4th quintile | .4129 | [.3793,.4474] | Highest quintile | .2019 | [.1756,.231] | Total | 1 | ----------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(9) = 92.4760 Design-based F(8.99, 5981.00)= 12.5099 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members.

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Table C8: Political views: 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,869 Number of PSUs = 1,869 Population size = 6,857.274 Design df = 1,867 ----------------------------------------------------------------------------- COMB Political | RECODE of surveyyear identification | 2016 2018 Total --------------------------+-------------------------------------------------- 1. Extremely liberal | .079 .0976 .088 | [.0657,.0946] [.0822,.1155] [.0776,.0996] | 2. Liberal | .4286 .405 .4172 | [.4019,.4557] [.3768,.4338] [.3977,.4369] | 3. Slightly liberal | .1484 .2301 .188 | [.1302,.1686] [.2061,.2559] [.1729,.2042] | 4. Moderate | .2504 .1744 .2135 | [.2266,.2759] [.1521,.1992] [.1969,.2311] | 5. Slightly conservative | .0536 .0637 .0585 | [.0429,.0669] [.0502,.0805] [.0497,.0688] | 6. Conservative | .036 .0272 .0317 | [.0274,.047] [.0194,.0381] [.0256,.0391] | 7. Extremely conservative | .004 .0021 .0031 | [.0018,.0093] [6.3e-04,.0069] [.0016,.0061] | Total | 1 1 1 | ----------------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(6) = 34.1816 Design-based F(5.97, 11143.92)= 7.4827 P = 0.0000

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Table C9: Agreement with political statements: 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,866 Number of PSUs = 1,866 Population size = 6,853.6971 Design df = 1,864 ----------------------------------------------------------------------- | RECODE of surveyyear COMB polissaffact | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .0776 .0522 .0652 | [.0646,.0929] [.0404,.0672] [.0562,.0756] | 2. Disagree | .0961 .0947 .0954 | [.0812,.1134] [.0784,.114] [.0841,.108] | 3. Somewhat disagree | .1402 .1265 .1335 | [.1223,.1603] [.1076,.1481] [.1203,.148] | 4. Somewhat agree | .2712 .2354 .2538 | [.2472,.2965] [.2112,.2615] [.2365,.2718] | 5. Agree | .1832 .2354 .2085 | [.163,.2052] [.2118,.2607] [.1929,.2251] | 6. Strongly agree | .1437 .1454 .1445 | [.1257,.1638] [.1267,.1664] [.1313,.1588] | 7. Don't know | .0881 .1104 .0989 | [.0736,.1051] [.0934,.13] [.0876,.1116] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(6) = 16.0743 Design-based F(5.99, 11171.57)= 3.4161 P = 0.0023 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,871 Number of PSUs = 1,871 Population size = 6,869.4952 Design df = 1,869 ----------------------------------------------------------------------- | RECODE of surveyyear COMB polissrace | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .0561 .0644 .0601 | [.0451,.0694] [.0516,.0801] [.0515,.0701] | 2. Disagree | .0716 .0777 .0745 | [.0585,.0873] [.0628,.0957] [.0644,.0861] |

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3. Somewhat disagree | .0968 .1011 .0989 | [.0817,.1143] [.0846,.1204] [.0875,.1116] | 4. Somewhat agree | .2395 .2686 .2537 | [.2167,.2638] [.2437,.2951] [.2367,.2714] | 5. Agree | .2497 .2273 .2388 | [.2265,.2743] [.2038,.2526] [.2221,.2563] | 6. Strongly agree | .2378 .1962 .2175 | [.2155,.2615] [.1742,.2202] [.2017,.2342] | 7. Don't know | .0487 .0647 .0565 | [.0382,.0619] [.0514,.0813] [.0478,.0667] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(6) = 9.2554 Design-based F(5.99, 11199.87)= 1.9676 P = 0.0666 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,868 Number of PSUs = 1,868 Population size = 6,865.3028 Design df = 1,866 ----------------------------------------------------------------------- | RECODE of surveyyear COMB polissfosfl | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .0351 .0467 .0408 | [.0263,.0468] [.0354,.0614] [.0334,.0497] | 2. Disagree | .0611 .0478 .0546 | [.0491,.0757] [.037,.0615] [.0462,.0643] | 3. Somewhat disagree | .1153 .0996 .1077 | [.0981,.1351] [.0817,.1209] [.095,.1218] | 4. Somewhat agree | .1985 .1446 .1722 | [.1775,.2215] [.1251,.1665] [.1576,.1878] | 5. Agree | .2057 .2302 .2177 | [.1847,.2284] [.2066,.2557] [.2017,.2345] | 6. Strongly agree | .2177 .3178 .2665 | [.1961,.2409] [.292,.3448] [.2497,.2841] | 7. Don't know | .1666 .1134 .1406 | [.1472,.1879] [.0957,.1339] [.1272,.1552] | Total | 1 1 1 | -----------------------------------------------------------------------

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Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(6) = 40.2669 Design-based F(5.97, 11134.66)= 8.3452 P = 0.0000 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,861 Number of PSUs = 1,861 Population size = 6,828.9333 Design df = 1,859 ----------------------------------------------------------------------- | RECODE of surveyyear COMB polissisr | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .3602 .3716 .3657 | [.3345,.3867] [.3437,.4003] [.3467,.3851] | 2. Disagree | .2368 .2589 .2475 | [.2143,.261] [.2339,.2855] [.2306,.2653] | 3. Somewhat disagree | .1029 .1077 .1052 | [.0869,.1214] [.0901,.1281] [.0931,.1187] | 4. Somewhat agree | .052 .0409 .0466 | [.0406,.0664] [.0304,.0548] [.0386,.0563] | 5. Agree | .0125 .0153 .0139 | [.0073,.0216] [.0096,.0244] [.0097,.0198] | 6. Strongly agree | .0179 .0102 .0142 | [.0121,.0265] [.0059,.0174] [.0103,.0194] | 7. Don't know | .2176 .1956 .2069 | [.1958,.2411] [.1735,.2196] [.1912,.2235] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(6) = 5.7382 Design-based F(5.97, 11093.77)= 1.1937 P = 0.3063 (running tabulate on estimation sample) Number of strata = 1 Number of obs = 902 Number of PSUs = 902 Population size = 3,333.8808 Design df = 901 -------------------------------------------------------------- Agree/Disagree: | Universities should | declare sanctuary campus | status. | column lb ub --------------------------+-----------------------------------

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1. Strongly disagree | .0337 .0242 .0467 2. Disagree | .0351 .0254 .0484 3. Somewhat disagree | .0407 .0303 .0545 4. Somewhat agree | .1457 .1252 .1689 5. Agree | .2677 .2426 .2944 6. Strongly agree | .3955 .3675 .4242 7. Don't know | .0817 .0671 .0991 | Total | 1 -------------------------------------------------------------- Key: column = column proportion lb = lower 95% confidence bound for column proportion ub = upper 95% confidence bound for column proportion Only one column category. Statistics cannot be computed. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 907 Number of PSUs = 907 Population size = 3,355.8178 Design df = 906 -------------------------------------------------------------- Agree/Disagree: Students | should be allowed to | carry legal firearms on | campuses. | column lb ub --------------------------+----------------------------------- 1. Strongly disagree | .7651 .7393 .789 2. Disagree | .1386 .1196 .1601 3. Somewhat disagree | .026 .018 .0375 4. Somewhat agree | .0263 .0188 .0368 5. Agree | .0148 .0086 .0252 6. Strongly agree | .0103 .006 .0176 7. Don't know | .0189 .0124 .0288 | Total | 1 -------------------------------------------------------------- Key: column = column proportion lb = lower 95% confidence bound for column proportion ub = upper 95% confidence bound for column proportion Only one column category. Statistics cannot be computed. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 895 Number of PSUs = 895 Population size = 3,301.8406 Design df = 894 -------------------------------------------------------------- Agr/Disagr: Univs should | make it easier for | victims in sexual assault | investig. | column lb ub --------------------------+----------------------------------- 1. Strongly disagree | .076 .0617 .0933 2. Disagree | .1053 .0881 .1254

17

3. Somewhat disagree | .1354 .116 .1574 4. Somewhat agree | .1967 .1739 .2216 5. Agree | .2017 .1793 .226 6. Strongly agree | .1112 .0947 .1301 7. Don't know | .1738 .1528 .197 | Total | 1 -------------------------------------------------------------- Key: column = column proportion lb = lower 95% confidence bound for column proportion ub = upper 95% confidence bound for column proportion Only one column category. Statistics cannot be computed.

Table C10: Brandeis Jewish population: 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,919 Number of PSUs = 1,919 Population size = 7,057.7531 Design df = 1,917 ----------------------------------------------------------------------- | RECODE of surveyyear COMB Jewish (5 Category) | 2016 2018 Total --------------------------+-------------------------------------------- 1. Jew by religion | .3033 .2728 .2883 | [.2795,.3282] [.2489,.2981] [.2714,.306] | 2. Jew not by religion | .0529 .0663 .0595 | [.0423,.0659] [.0541,.081] [.0512,.069] | 3. Jewish ancestry | .0105 .0199 .0151 | [.0064,.0173] [.0135,.0293] [.0111,.0205] | 4. Jew with multiple reli | .014 .0143 .0142 | [.0089,.0219] [.009,.0227] [.0103,.0195] | 5. Not Jewish | .6193 .6266 .6229 | [.5931,.6448] [.5992,.6533] [.604,.6414] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(4) = 5.8290 Design-based F(4.00, 7660.57)= 2.0244 P = 0.0883

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Table C11: Brandeis Jewish population by freshman class year, in 2016 and 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 985 Number of PSUs = 985 Population size = 3,596.2731 Subpop. no. obs = 985 Subpop. size = 3,596.2731 Design df = 984 -------------------------------------------------------------------------------------- | COMB Class year COMB Jewish (5 Category) | 1. First 2. Secon 3. Third 4. Fourt --------------------------+----------------------------------------------------------- 1. Jew by religion | .2423 .3002 .3078 .3588 | [.1997,.2906] [.2562,.3482] [.2597,.3605] [.3095,.4112] | 2. Jew not by religion | .0604 .0284 .0953 .0329 | [.0394,.0915] [.0158,.0504] [.0677,.1327] [.019,.0566] | 3. Jewish ancestry | .0077 .0107 .013 .011 | [.0024,.0248] [.0041,.0275] [.005,.0334] [.0042,.0284] | 4. Jew with multiple reli | .014 .0142 .013 .0146 | [.0052,.0369] [.0062,.0322] [.005,.0335] [.0064,.0332] | 5. Not Jewish | .6756 .6465 .5709 .5827 | [.6233,.7238] [.5969,.6932] [.5161,.624] [.529,.6345] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- ----------------------------------------- | COMB Class | year COMB Jewish (5 Category) | Total --------------------------+-------------- 1. Jew by religion | .3033 | [.2795,.3282] | 2. Jew not by religion | .0529 | [.0423,.0659] | 3. Jewish ancestry | .0105 | [.0064,.0173] | 4. Jew with multiple reli | .014 | [.0089,.0219] | 5. Not Jewish | .6193 | [.5931,.6448] | Total | 1 | ----------------------------------------- Key: column proportion [95% confidence interval for column proportion]

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Pearson: Uncorrected chi2(12) = 21.7990 Design-based F(11.92, 11732.65)= 2.5836 P = 0.0020 Note: 1 stratum omitted because it contains no subpopulation members. . svy, subpop(if survey2018==1): tab jew5 classyear, col stubw(25) ci (running tabulate on estimation sample) Number of strata = 1 Number of obs = 934 Number of PSUs = 934 Population size = 3,461.48 Subpop. no. obs = 934 Subpop. size = 3,461.48 Design df = 933 -------------------------------------------------------------------------------------- | COMB Class year COMB Jewish (5 Category) | 1. First 2. Secon 3. Third 4. Fourt --------------------------+----------------------------------------------------------- 1. Jew by religion | .2786 .2778 .2417 .2949 | [.2358,.3258] [.2328,.3277] [.1967,.2934] [.2416,.3544] | 2. Jew not by religion | .0981 .0668 .0507 .0463 | [.0724,.1316] [.0456,.0968] [.0313,.0813] [.0254,.0831] | 3. Jewish ancestry | .0177 .0136 .0184 .0311 | [.0083,.0371] [.0059,.0313] [.0079,.042] [.0157,.0608] | 4. Jew with multiple reli | .0102 .0168 .0202 .0098 | [.0039,.0268] [.0079,.0354] [.0084,.0474] [.003,.0318] | 5. Not Jewish | .5954 .6249 .6689 .6179 | [.5443,.6445] [.572,.675] [.6129,.7206] [.5549,.6771] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- ----------------------------------------- | COMB Class | year COMB Jewish (5 Category) | Total --------------------------+-------------- 1. Jew by religion | .2728 | [.2489,.2981] | 2. Jew not by religion | .0663 | [.0541,.081] | 3. Jewish ancestry | .0199 | [.0135,.0293] | 4. Jew with multiple reli | .0143 | [.009,.0227] | 5. Not Jewish | .6266 | [.5992,.6533]

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| Total | 1 | ----------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(12) = 11.4299 Design-based F(11.80, 11010.25)= 1.2941 P = 0.2152 Note: 1 stratum omitted because it contains no subpopulation members.

Table C12: Number of Jewish parents: 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,919 Number of PSUs = 1,919 Population size = 7,057.7531 Subpop. no. obs = 710 Subpop. size = 2,454.8848 Design df = 1,917 ----------------------------------------------------------------------- COMB Number of Jewish | parents accounting for | RECODE of surveyyear grandparents religion | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .0287 .0417 .035 | [.0169,.0484] [.0262,.066] [.0246,.0494] | 1 | .1826 .1706 .1769 | [.1515,.2185] [.1387,.2081] [.1541,.2022] | 2 | .7886 .7876 .7881 | [.7509,.822] [.7472,.8231] [.761,.8129] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(2) = 2.7042 Design-based F(2.00, 3826.08)= 0.6496 P = 0.5220

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Table C13: Jewish denomination: 2016 v. 2018 (Jewish students only). Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,918 Number of PSUs = 1,918 Population size = 7,054.226 Subpop. no. obs = 709 Subpop. size = 2,451.3577 Design df = 1,916 ----------------------------------------------------------------------- COMB Current Jewish | RECODE of surveyyear denomination | 2016 2018 Total --------------------------+-------------------------------------------- 1. Reform | .2629 .2555 .2594 | [.2265,.303] [.2179,.2972] [.2328,.2879] | 2. Reconstructionist | .042 .0263 .0345 | [.0278,.0629] [.015,.0458] [.0247,.0478] | 3. Conservative | .1836 .1551 .1699 | [.152,.2201] [.1249,.191] [.1475,.1951] | 4. Orthodox | .1379 .1228 .1306 | [.1106,.1706] [.095,.1572] [.1106,.1537] | 5. Secular/culturally Jew | .1803 .2171 .1979 | [.1492,.2164] [.181,.258] [.1737,.2246] | 6. Just Jewish | .1388 .1494 .1438 | [.1106,.1727] [.1197,.1848] [.1229,.1677] | 7 | .0545 .0739 .0638 | [.0378,.078] [.0518,.1044] [.0494,.082] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(6) = 13.0748 Design-based F(6.00, 11486.71)= 1.0747 P = 0.3750

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Table C14: Three most pressing issues: 2016 v. 2018 (coded, responses over 5% in either year only). Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 852 Number of PSUs = 852 Population size = 3,079.478 Design df = 851 -------------------------------------------------------------- Thought Police | proportion lb ub --------------------------+----------------------------------- Not mentioned | .9353 .9192 .9483 Mentioned | .0647 .0517 .0808 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample) Number of strata = 1 Number of obs = 852 Number of PSUs = 852 Population size = 3,079.478 Design df = 851 -------------------------------------------------------------- Religion | proportion lb ub --------------------------+----------------------------------- Not mentioned | .9565 .9429 .9669 Mentioned | .0435 .0331 .0571 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample) Number of strata = 1 Number of obs = 852 Number of PSUs = 852 Population size = 3,079.478 Design df = 851 -------------------------------------------------------------- Israel | proportion lb ub --------------------------+----------------------------------- Not mentioned | .912 .8938 .9274 Mentioned | .088 .0726 .1062 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample) Number of strata = 1 Number of obs = 852 Number of PSUs = 852 Population size = 3,079.478 Design df = 851

23

-------------------------------------------------------------- Housing | proportion lb ub --------------------------+----------------------------------- Not mentioned | .8983 .8786 .9151 Mentioned | .1017 .0849 .1214 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample) Number of strata = 1 Number of obs = 852 Number of PSUs = 852 Population size = 3,079.478 Design df = 851 -------------------------------------------------------------- Environment | proportion lb ub --------------------------+----------------------------------- Not mentioned | .8829 .8626 .9005 Mentioned | .1171 .0995 .1374 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample) Number of strata = 1 Number of obs = 852 Number of PSUs = 852 Population size = 3,079.478 Design df = 851 -------------------------------------------------------------- Admin | proportion lb ub --------------------------+----------------------------------- Not mentioned | .8775 .857 .8954 Mentioned | .1225 .1046 .143 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample) Number of strata = 1 Number of obs = 852 Number of PSUs = 852 Population size = 3,079.478 Design df = 851 -------------------------------------------------------------- Sexual Assault | proportion lb ub --------------------------+----------------------------------- Not mentioned | .8598 .8382 .8789 Mentioned | .1402 .1211 .1618 |

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Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample) Number of strata = 1 Number of obs = 852 Number of PSUs = 852 Population size = 3,079.478 Design df = 851 -------------------------------------------------------------- Food | proportion lb ub --------------------------+----------------------------------- Not mentioned | .7789 .7533 .8024 Mentioned | .2211 .1976 .2467 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample) Number of strata = 1 Number of obs = 852 Number of PSUs = 852 Population size = 3,079.478 Design df = 851 -------------------------------------------------------------- Cost | proportion lb ub --------------------------+----------------------------------- Not mentioned | .7668 .7409 .7909 Mentioned | .2332 .2091 .2591 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample) Number of strata = 1 Number of obs = 852 Number of PSUs = 852 Population size = 3,079.478 Design df = 851 -------------------------------------------------------------- Minorities (General) | proportion lb ub --------------------------+----------------------------------- Not mentioned | .6639 .6354 .6913 Mentioned | .3361 .3087 .3646 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample)

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Number of strata = 1 Number of obs = 852 Number of PSUs = 852 Population size = 3,079.478 Design df = 851 -------------------------------------------------------------- Race | proportion lb ub --------------------------+----------------------------------- Not mentioned | .5994 .57 .6282 Mentioned | .4006 .3718 .43 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion . *in 2018 . foreach x of varlist politics_b18 - other_b18 { 2. svy, subpop(survey2018): tab `x', stubw(25) ci 3. } (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Politics | proportion lb ub --------------------------+----------------------------------- 0 | .914 .8975 .9281 1 | .086 .0719 .1025 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Intellectual Diversity | proportion lb ub --------------------------+----------------------------------- 0 | .9355 .9205 .9479 1 | .0645 .0521 .0795 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion

26

lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Environment | proportion lb ub --------------------------+----------------------------------- 0 | .9098 .8936 .9238 1 | .0902 .0762 .1064 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Immigrants | proportion lb ub --------------------------+----------------------------------- 0 | .9887 .9817 .9931 1 | .0113 .0069 .0183 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Food | proportion lb ub --------------------------+----------------------------------- 0 | .6956 .6687 .7212

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1 | .3044 .2788 .3313 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Housing | proportion lb ub --------------------------+----------------------------------- 0 | .8186 .796 .8392 1 | .1814 .1608 .204 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Student Life | proportion lb ub --------------------------+----------------------------------- 0 | .7614 .7362 .7849 1 | .2386 .2151 .2638 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947

28

-------------------------------------------------------------- Academics | proportion lb ub --------------------------+----------------------------------- 0 | .83 .8071 .8507 1 | .17 .1493 .1929 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Cost | proportion lb ub --------------------------+----------------------------------- 0 | .7804 .7559 .8032 1 | .2196 .1968 .2441 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- International | proportion lb ub --------------------------+----------------------------------- 0 | .9618 .9474 .9724 1 | .0382 .0276 .0526 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample)

29

Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Mental Health | proportion lb ub --------------------------+----------------------------------- 0 | .8498 .8287 .8688 1 | .1502 .1312 .1713 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Sexual Assault | proportion lb ub --------------------------+----------------------------------- 0 | .9175 .9017 .931 1 | .0825 .069 .0983 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Safety, Violence | proportion lb ub --------------------------+----------------------------------- 0 | .951 .9383 .9612 1 | .049 .0388 .0617 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion

30

ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Diversity and Inclusion | proportion lb ub --------------------------+----------------------------------- 0 | .8256 .8037 .8456 1 | .1744 .1544 .1963 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Race | proportion lb ub --------------------------+----------------------------------- 0 | .8884 .87 .9045 1 | .1116 .0955 .13 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Israel | proportion lb ub --------------------------+----------------------------------- 0 | .9938 .9883 .9967 1 | .0062 .0033 .0117

31

| Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Admin | proportion lb ub --------------------------+----------------------------------- 0 | .8152 .7929 .8356 1 | .1848 .1644 .2071 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 948 Number of PSUs = 948 Population size = 3,513 Subpop. no. obs = 948 Subpop. size = 3,513 Design df = 947 -------------------------------------------------------------- Other | proportion lb ub --------------------------+----------------------------------- 0 | .7178 .6913 .7428 1 | .2822 .2572 .3087 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members.

32

Table C15: Satisfaction with academic elements at Brandeis: 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 947 Number of PSUs = 947 Population size = 3,510.1864 Design df = 946 -------------------------------------------------------------- At Brandeis, how | satisfied are you with �courses in your major? | | proportion lb ub --------------------------+----------------------------------- 1. Very Satisfied | .265 .2413 .2902 2. Satisfied | .5366 .5083 .5647 3. Neutral | .1184 .1004 .139 4. Dissatisfied | .0517 .0407 .0654 5. Very Dissatisfied | .0126 .0076 .0206 6. Not applicable | .0158 .0104 .0238 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample) Number of strata = 1 Number of obs = 946 Number of PSUs = 946 Population size = 3,507.2079 Design df = 945 -------------------------------------------------------------- At Brandeis, how | satisfied are you with �contact with faculty? | | proportion lb ub --------------------------+----------------------------------- 1. Very Satisfied | .2565 .2323 .2823 2. Satisfied | .433 .405 .4614 3. Neutral | .2246 .2022 .2487 4. Dissatisfied | .074 .0606 .09 5. Very Dissatisfied | .0103 .0056 .0188 6. Not applicable | .0017 5.2e-04 .0056 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample) Number of strata = 1 Number of obs = 944 Number of PSUs = 944 Population size = 3,496.7254 Design df = 943 -------------------------------------------------------------- At Brandeis, how | satisfied are you with �class size? |

33

| proportion lb ub --------------------------+----------------------------------- 1. Very Satisfied | .2552 .2311 .2809 2. Satisfied | .4903 .4619 .5188 3. Neutral | .1862 .1653 .2091 4. Dissatisfied | .0589 .0466 .0742 5. Very Dissatisfied | .0075 .0039 .0146 6. Not applicable | .0018 5.4e-04 .0058 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion (running tabulate on estimation sample) Number of strata = 1 Number of obs = 945 Number of PSUs = 945 Population size = 3,500.8279 Design df = 944 -------------------------------------------------------------- At Brandeis, how | satisfied are you with �relevance of courses to | everyday life? | | proportion lb ub --------------------------+----------------------------------- 1. Very Satisfied | .1403 .1219 .161 2. Satisfied | .4384 .4103 .4669 3. Neutral | .3109 .2854 .3377 4. Dissatisfied | .0861 .072 .1028 5. Very Dissatisfied | .0213 .0141 .032 6. Not applicable | .0029 .0011 .0078 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion

34

Table C16: Faculty are committed to nurturing their students: 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,829 Number of PSUs = 1,829 Population size = 6,710.4657 Design df = 1,827 ----------------------------------------------------------------------- | RECODE of surveyyear COMB campusenvntr | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .0138 .0195 .0166 | [.0084,.0226] [.013,.0292] [.0121,.0227] | 2. Disagree | .041 .0551 .0479 | [.0315,.0531] [.0431,.0702] [.0401,.0573] | 3. Somewhat disagree | .0846 .1303 .1071 | [.0704,.1013] [.1122,.1507] [.0954,.12] | 4. Somewhat agree | .3743 .3509 .3628 | [.3477,.4017] [.3233,.3795] [.3435,.3825] | 5. Agree | .3467 .3633 .3549 | [.3204,.374] [.3353,.3923] [.3356,.3747] | 6. Strongly agree | .1396 .0809 .1107 | [.1212,.1604] [.0664,.0983] [.0986,.124] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 27.0042 Design-based F(5.00, 9126.29)= 6.9468 P = 0.0000

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Table C17: Faculty are committed to nurturing their students by race: 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 789 Number of PSUs = 789 Population size = 2,906.9411 Subpop. no. obs = 789 Subpop. size = 2,906.9411 Design df = 788 -------------------------------------------------------------------------------------- | COMB Ethnicity, 4 category COMB campusenvntr | 1. Hispa 2. Black 3. East 6. White --------------------------+----------------------------------------------------------- 1. Strongly disagree | .0329 .0206 .0133 .0252 | [.0121,.0863] [.0037,.108] [.0039,.0443] [.0153,.0411] | 2. Disagree | .0481 .1135 .0284 .0592 | [.0203,.1098] [.0463,.2521] [.0139,.0574] [.0425,.0818] | 3. Somewhat disagree | .1672 .2001 .1199 .1157 | [.1051,.2555] [.1206,.3133] [.0852,.1663] [.0923,.1441] | 4. Somewhat agree | .3207 .3719 .3063 .3694 | [.235,.4205] [.2575,.5029] [.2487,.3706] [.3312,.4093] | 5. Agree | .3066 .2346 .4638 .3434 | [.2216,.4072] [.148,.3511] [.3981,.5308] [.3062,.3825] | 6. Strongly agree | .1245 .0593 .0682 .0871 | [.0729,.2045] [.0218,.1514] [.0401,.1136] [.0671,.1124] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- ----------------------------------------- | COMB | Ethnicity, 4 | category COMB campusenvntr | Total --------------------------+-------------- 1. Strongly disagree | .0222 | [.0147,.0335] | 2. Disagree | .0527 | [.0401,.069] | 3. Somewhat disagree | .127 | [.1078,.1491] | 4. Somewhat agree | .3469 | [.3171,.3779] | 5. Agree | .3677 | [.3372,.3993] | 6. Strongly agree | .0835

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| [.0674,.1029] | Total | 1 | ----------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(15) = 25.2468 Design-based F(14.55, 11467.61)= 1.9926 P = 0.0134 Note: 1 stratum omitted because it contains no subpopulation members. . svy, subpop(if survey2018==0): tab campusenvntr ethnicity4, col stubw(25) ci (running tabulate on estimation sample) Number of strata = 1 Number of obs = 840 Number of PSUs = 840 Population size = 3,055.7145 Subpop. no. obs = 840 Subpop. size = 3,055.7145 Design df = 839 -------------------------------------------------------------------------------------- | COMB Ethnicity, 4 category COMB campusenvntr | 1. Hispa 2. Black 3. East 6. White --------------------------+----------------------------------------------------------- 1. Strongly disagree | .0414 .039 .0223 .0058 | [.0155,.106] [.0117,.1225] [.0091,.0535] [.0022,.0156] | 2. Disagree | .0949 .0592 .0205 .0393 | [.0503,.1719] [.0223,.1483] [.0095,.0435] [.0269,.057] | 3. Somewhat disagree | .1072 .136 .088 .0736 | [.0593,.1861] [.0729,.2397] [.059,.1292] [.0562,.096] | 4. Somewhat agree | .3531 .4663 .3559 .3827 | [.2599,.459] [.3528,.5833] [.2998,.4163] [.3465,.4203] | 5. Agree | .3091 .1694 .3991 .3466 | [.2228,.4111] [.0982,.2762] [.3394,.462] [.3113,.3836] | 6. Strongly agree | .0943 .1301 .1141 .152 | [.05,.171] [.0694,.2307] [.0793,.1616] [.1266,.1814] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- ----------------------------------------- | COMB | Ethnicity, 4 | category COMB campusenvntr | Total --------------------------+-------------- 1. Strongly disagree | .0153 | [.0092,.0254] |

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2. Disagree | .04 | [.0301,.0531] | 3. Somewhat disagree | .0841 | [.069,.1022] | 4. Somewhat agree | .3778 | [.3493,.4073] | 5. Agree | .3472 | [.319,.3767] | 6. Strongly agree | .1354 | [.1161,.1574] | Total | 1 | ----------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(15) = 30.1035 Design-based F(14.86, 12471.30)= 2.5728 P = 0.0008 Note: 1 stratum omitted because it contains no subpopulation members.

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Table C18: Knowing about Ford Hall 2015 by race/ethnicity (students who were not on campus in 2016). Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 479 Number of PSUs = 479 Population size = 1,627.2409 Design df = 478 -------------------------------------------------------------------------------------- Since coming to Brandeis, | have you heard about | COMB Ethnicity, 4 category #FordHall2015? | 1. Hispa 2. Black 3. East 6. White --------------------------+----------------------------------------------------------- 0. No | .338 .1769 .7186 .4206 | [.2201,.4801] [.0893,.3203] [.6317,.7917] [.3676,.4756] | 1. Yes | .662 .8231 .2814 .5794 | [.5199,.7799] [.6797,.9107] [.2083,.3683] [.5244,.6324] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- ----------------------------------------- | COMB Since coming to Brandeis, | Ethnicity, 4 have you heard about | category #FordHall2015? | Total --------------------------+-------------- 0. No | .4789 | [.4356,.5225] | 1. Yes | .5211 | [.4775,.5644] | Total | 1 | ----------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(3) = 51.2871 Design-based F(2.97, 1419.68)= 18.4423 P = 0.0000

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Table C19: Frequency of discussing Ford Hall? (students who were on campus in 2016). Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 582 Number of PSUs = 582 Population size = 2,161.9638 Design df = 581 -------------------------------------------------------------------------------------- This semester, how often | have you discussed | #FordHall2015 with your | COMB Ethnicity, 4 category peers? | 1. Hispa 2. Black 3. East 6. White --------------------------+----------------------------------------------------------- 1. Never | .4453 .2361 .4489 .4462 | [.3362,.5599] [.1428,.3645] [.3621,.539] [.3992,.4941] | 2. Rarely | .3313 .2265 .3191 .2738 | [.2339,.4457] [.1304,.3639] [.2435,.4056] [.2334,.3183] | 3. Occasionally | .1749 .307 .1612 .2468 | [.106,.2748] [.1954,.4469] [.106,.2375] [.2074,.2909] | 4. Often | .0485 .2079 .0645 .0217 | [.0172,.1291] [.1095,.3592] [.0304,.1317] [.0115,.0407] | 5. All the time | 0 .0225 .0063 .0115 | [.0037,.124] [.001,.037] [.0047,.0281] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- ----------------------------------------- This semester, how often | COMB have you discussed | Ethnicity, 4 #FordHall2015 with your | category peers? | Total --------------------------+-------------- 1. Never | .4306 | [.3929,.4691] | 2. Rarely | .2869 | [.2536,.3226] | 3. Occasionally | .2237 | [.1934,.2573] | 4. Often | .0489 | [.0336,.0707] | 5. All the time | .0099 | [.0047,.0206] | Total | 1 | ----------------------------------------- Key: column proportion

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[95% confidence interval for column proportion] Pearson: Uncorrected chi2(12) = 41.6824 Design-based F(11.71, 6803.11)= 3.8801 P = 0.0000

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Table C20: Over the past two years, would you say that race relations at Brandeis have…? (Students who were on campus in 2016). Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 320 Number of PSUs = 320 Population size = 1,314.0309 Design df = 319 ------------------------------------------------------------------------------------------- Over the past two years, | would you say that race | relations at Brandeis | COMB Ethnicity, 4 category have...? | 1. Hispa 2. Black 3. East 6. White --------------------------+---------------------------------------------------------------- 1. Gotten much better | 0 .1237 .0589 0 | [.0331,.3683] [.0226,.1453] | 2. Gotten somewhat better | .4217 .5541 .3322 .3289 | [.2706,.5891] [.3301,.7581] [.2359,.4449] [.2681,.3961] | 3. Stayed the same | .3261 .2776 .3393 .3792 | [.189,.5012] [.1231,.5126] [.2428,.4513] [.3158,.4469] | 4. Gotten somewhat worse | 0 0 .0204 .0377 | [.0054,.0741] [.0186,.0747] | 5. Gotten much worse | 0 0 .0112 .005 | [.0017,.0697] [7.7e-04,.0321] | 6. Don't know | .2522 .0446 .238 .2492 | [.1348,.4219] [.0067,.2449] [.1574,.3431] [.195,.3126] | Total | 1 1 1 1 | ------------------------------------------------------------------------------------------- ------------------------------------------- Over the past two years, | would you say that race | COMB Ethnicity, relations at Brandeis | 4 category have...? | Total --------------------------+---------------- 1. Gotten much better | .0233 | [.0106,.0506] | 2. Gotten somewhat better | .3501 | [.3003,.4033] | 3. Stayed the same | .3575 | [.3077,.4106] | 4. Gotten somewhat worse | .0272 | [.0146,.0502] | 5. Gotten much worse | .0061 | [.0016,.0227] | 6. Don't know | .2359 | [.1934,.2843] | Total | 1 |

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------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(15) = 25.9244 Design-based F(13.66, 4356.87)= 1.9947 P = 0.0157.

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Table C21: To what extent do you agree that there is a hostile environment toward people of color? by race/ethnicity: 2016 v. 2018. Weighted proportions with 95% confidence intervals. Hispanic students in 2016 v. 2018 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,928 Number of PSUs = 1,928 Population size = 7,093.9897 Subpop. no. obs = 152 Subpop. size = 541.704797 Design df = 1,926 ----------------------------------------------------------------------- COMB Hostile campus | climate toward people of | RECODE of surveyyear color | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .2708 .2738 .2724 | [.1907,.3691] [.1975,.3662] [.2152,.3382] | 2. Disagree | .2251 .3035 .2657 | [.1518,.3204] [.2212,.4007] [.2081,.3326] | 3. Somewhat disagree | .1342 .1449 .1398 | [.0807,.2149] [.0922,.2206] [.0999,.1921] | 4. Somewhat agree | .2609 .1516 .2043 | [.1837,.3564] [.0945,.2343] [.1543,.2654] | 5. Agree | .0682 .1022 .0858 | [.0327,.1366] [.0571,.1761] [.0545,.1325] | 6. Strongly agree | .0408 .0239 .0321 | [.0157,.102] [.0073,.0759] [.0152,.0662] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 50.4739 Design-based F(4.99, 9608.30)= 1.0817 P = 0.3681 Black students in 2016 v. 2018 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,930 Number of PSUs = 1,930 Population size = 7,097.8926 Subpop. no. obs = 106 Subpop. size = 373.771061 Design df = 1,928 ----------------------------------------------------------------------- COMB Hostile campus | climate toward people of | RECODE of surveyyear color | 2016 2018 Total

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--------------------------+-------------------------------------------- 1. Strongly disagree | .0379 .1851 .1117 | [.0117,.1154] [.1129,.2884] [.0709,.1716] | 2. Disagree | .2017 .1853 .1935 | [.1258,.3073] [.111,.2929] [.1373,.2656] | 3. Somewhat disagree | .1505 .2339 .1923 | [.0856,.2511] [.1427,.3588] [.1328,.2703] | 4. Somewhat agree | .3173 .2271 .2721 | [.222,.4309] [.1362,.3539] [.203,.3543] | 5. Agree | .1292 .0799 .1045 | [.0703,.2256] [.0378,.1612] [.0652,.1634] | 6. Strongly agree | .1634 .0887 .1259 | [.0961,.2641] [.0419,.1778] [.0817,.1892] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 158.8538 Design-based F(4.96, 9571.56)= 2.3652 P = 0.0377 East Asian students in 2016 v. 2018 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,919 Number of PSUs = 1,919 Population size = 7,042.6401 Subpop. no. obs = 402 Subpop. size = 1,723.3114 Design df = 1,917 ----------------------------------------------------------------------- COMB Hostile campus | climate toward people of | RECODE of surveyyear color | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .1427 .3495 .2474 | [.107,.1879] [.2904,.4135] [.211,.2878] | 2. Disagree | .3606 .3673 .364 | [.3046,.4206] [.308,.431] [.3226,.4074] | 3. Somewhat disagree | .2356 .1403 .1873 | [.1879,.2909] [.1043,.1863] [.1564,.2228] | 4. Somewhat agree | .1944 .0982 .1457 | [.1524,.2447] [.0682,.1395] [.1189,.1774] | 5. Agree | .0436 .0274 .0354 | [.0249,.0753] [.0125,.0591] [.0224,.0556] |

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6. Strongly agree | .0231 .0173 .0202 | [.0097,.0544] [.0064,.0459] [.0105,.0385] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 140.9668 Design-based F(4.96, 9510.10)= 7.3980 P = 0.0000 White students in 2016 v. 2018 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,904 Number of PSUs = 1,904 Population size = 7,005.4334 Subpop. no. obs = 991 Subpop. size = 3,414.1326 Design df = 1,902 ----------------------------------------------------------------------- COMB Hostile campus | climate toward people of | RECODE of surveyyear color | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .2223 .2724 .2462 | [.1932,.2544] [.2391,.3085] [.2239,.27] | 2. Disagree | .2698 .3349 .3008 | [.2384,.3038] [.2992,.3725] [.2769,.3259] | 3. Somewhat disagree | .1941 .155 .1755 | [.1666,.2249] [.1288,.1854] [.156,.1968] | 4. Somewhat agree | .2073 .1712 .1901 | [.1787,.2392] [.1435,.2031] [.1697,.2123] | 5. Agree | .0793 .0485 .0646 | [.0616,.1015] [.0339,.0688] [.0526,.0791] | 6. Strongly agree | .0272 .018 .0228 | [.0175,.0421] [.0099,.0325] [.016,.0324] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 27.6358 Design-based F(5.00, 9506.72)= 3.8175 P = 0.0019

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Table C22: To what extent do you agree that there is a hostile environment toward people of color? 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,851 Number of PSUs = 1,851 Population size = 6,802.5779 Design df = 1,849 ----------------------------------------------------------------------- COMB Hostile campus | climate toward people of | RECODE of surveyyear color | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .1925 .2862 .2388 | [.1718,.215] [.2601,.3137] [.222,.2564] | 2. Disagree | .2844 .3318 .3078 | [.2597,.3104] [.3048,.3599] [.2894,.3268] | 3. Somewhat disagree | .2021 .1604 .1815 | [.1805,.2255] [.1405,.1825] [.1666,.1974] | 4. Somewhat agree | .2201 .1515 .1862 | [.198,.2438] [.132,.1733] [.1712,.2021] | 5. Agree | .0652 .0463 .0558 | [.0529,.0799] [.0357,.0599] [.0475,.0656] | 6. Strongly agree | .0358 .0238 .0299 | [.0268,.0477] [.0165,.0343] [.0238,.0375] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 41.6548 Design-based F(5.00, 9242.68)= 10.8143 P = 0.0000

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Table C23: Agreement that “there is a hostile environment towards people of color:” 2016 v. 2018, by cohort. Weighted proportions with 95% confidence intervals. Graduated since 2016: In 2016 Survey (running tabulate on estimation sample) Number of strata = 1 Number of obs = 963 Number of PSUs = 963 Population size = 3,513.9307 Subpop. no. obs = 456 Subpop. size = 1,710.9307 Design df = 962 -------------------------------------------------------------- COMB Hostile campus | climate toward people of | color | proportion lb ub --------------------------+----------------------------------- 1. Strongly disagree | .1727 .145 .2044 2. Disagree | .2488 .2153 .2857 3. Somewhat disagree | .2069 .1761 .2415 4. Somewhat agree | .2545 .2214 .2908 5. Agree | .0752 .0573 .0981 6. Strongly agree | .0418 .0284 .0612 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. On campus in 2016 and 2018: In 2016 Survey (running tabulate on estimation sample) Number of strata = 1 Number of obs = 970 Number of PSUs = 970 Population size = 3,536.6206 Subpop. no. obs = 488 Subpop. size = 1,729.6207 Design df = 969 -------------------------------------------------------------- COMB Hostile campus | climate toward people of | color | proportion lb ub --------------------------+----------------------------------- 1. Strongly disagree | .2121 .1827 .2448 2. Disagree | .3195 .2846 .3566 3. Somewhat disagree | .1973 .1685 .2298 4. Somewhat agree | .186 .1583 .2173 5. Agree | .0552 .0401 .0756 6. Strongly agree | .0298 .0193 .0458 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion

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Note: 1 stratum omitted because it contains no subpopulation members. On campus in 2016 and 2018: In 2018 Survey (running tabulate on estimation sample) Number of strata = 1 Number of obs = 931 Number of PSUs = 931 Population size = 3,443.8954 Subpop. no. obs = 385 Subpop. size = 1,620.6679 Design df = 930 -------------------------------------------------------------- COMB Hostile campus | climate toward people of | color | proportion lb ub --------------------------+----------------------------------- 1. Strongly disagree | .2842 .2453 .3267 2. Disagree | .2996 .2602 .3422 3. Somewhat disagree | .155 .1265 .1886 4. Somewhat agree | .1742 .144 .2092 5. Agree | .0499 .0346 .0714 6. Strongly agree | .037 .0238 .0569 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members. New students since 2016: In 2018 Survey (running tabulate on estimation sample) Number of strata = 1 Number of obs = 924 Number of PSUs = 924 Population size = 3,431.1311 Subpop. no. obs = 522 Subpop. size = 1,741.3585 Design df = 923 -------------------------------------------------------------- COMB Hostile campus | climate toward people of | color | proportion lb ub --------------------------+----------------------------------- 1. Strongly disagree | .2879 .2542 .3242 2. Disagree | .3617 .3259 .3992 3. Somewhat disagree | .1654 .1389 .1957 4. Somewhat agree | .1303 .1067 .1582 5. Agree | .043 .0297 .062 6. Strongly agree | .0116 .0061 .0219 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion Note: 1 stratum omitted because it contains no subpopulation members.

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Table C24: Agreement that at Brandeis “concerns of minority students taken seriously:” 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,846 Number of PSUs = 1,846 Population size = 6,778.7008 Design df = 1,844 ----------------------------------------------------------------------- COMB Concerns of minority | RECODE of surveyyear groups taken seriously | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .0357 .0553 .0454 | [.0268,.0475] [.043,.0708] [.0376,.0548] | 2. Disagree | .0798 .0878 .0838 | [.0662,.0959] [.0729,.1055] [.0734,.0954] | 3. Somewhat disagree | .199 .1587 .179 | [.1774,.2225] [.1382,.1816] [.1639,.1952] | 4. Somewhat agree | .3323 .3124 .3224 | [.3066,.3591] [.2861,.3399] [.304,.3415] | 5. Agree | .2658 .2815 .2736 | [.2417,.2914] [.2561,.3083] [.2559,.292] | 6. Strongly agree | .0873 .1043 .0958 | [.073,.1042] [.0873,.1242] [.0844,.1085] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 10.7972 Design-based F(5.00, 9215.02)= 2.7561 P = 0.0171

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Table C25: Agreement that “ethnic groups stick with their own:” 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,858 Number of PSUs = 1,858 Population size = 6,827.4133 Design df = 1,856 ----------------------------------------------------------------------- COMB Ethnic groups stick | RECODE of surveyyear with their own | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .0071 .023 .015 | [.0038,.0133] [.0152,.0347] [.0106,.0212] | 2. Disagree | .0362 .0363 .0362 | [.0267,.0489] [.0267,.0491] [.0292,.0449] | 3. Somewhat disagree | .0821 .0766 .0794 | [.0679,.099] [.0628,.0932] [.0692,.0909] | 4. Somewhat agree | .3267 .3344 .3305 | [.3015,.3529] [.3074,.3625] [.3119,.3496] | 5. Agree | .3184 .3605 .3392 | [.293,.3449] [.333,.389] [.3204,.3585] | 6. Strongly agree | .2296 .1692 .1997 | [.2069,.2539] [.1488,.1918] [.1843,.2161] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 19.0415 Design-based F(4.99, 9268.05)= 4.8510 P = 0.0002

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Table C26: Students whose close friends are mostly or all the same race/ethnicity as them. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 945 Number of PSUs = 945 Population size = 3,450.1025 Subpop. no. obs = 945 Subpop. size = 3,450.1025 Design df = 944 -------------------------------------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendsasn | 1. Hispa 2. Black 4. Other 5. Other --------------------------+----------------------------------------------------------- 0. None | .1019 .2328 .0377 .258 | [.0508,.1941] [.1514,.3405] [.0217,.0645] [.1414,.4234] | 1. Some | .7343 .6615 .2937 .6626 | [.6305,.8174] [.5489,.7584] [.2504,.3411] [.4939,.798] | 2. About half | .1096 .0711 .1291 .0421 | [.0577,.1981] [.031,.1547] [.0982,.1679] [.0079,.1958] | 3. Most | .0405 .0183 .4436 .0373 | [.0154,.1019] [.0034,.0918] [.3927,.4958] [.0069,.1767] | 4. All | 0 0 .0893 0 | [.0621,.1267] | 5. Don't know | .0138 .0163 .0066 0 | [.0026,.0704] [.003,.0825] [.002,.0215] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- -------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendsasn | 6. White Total --------------------------+----------------------------- 0. None | .2284 .1572 | [.1981,.2618] [.138,.1786] | 1. Some | .6822 .557 | [.6462,.7162] [.5289,.5847] | 2. About half | .0582 .0856 | [.0431,.0781] [.071,.1029] | 3. Most | .0216 .1618 | [.0131,.0356] [.1412,.1848] | 4. All | 0 .0293 | [.0202,.0423] | 5. Don't know | .0096 .0091 | [.0045,.0203] [.0052,.0158] |

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Total | 1 1 | -------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(20) = 403.2960 Design-based F(19.69, 18584.35)= 26.6218 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 922 Number of PSUs = 922 Population size = 3,413.3507 Subpop. no. obs = 922 Subpop. size = 3,413.3507 Design df = 921 ------------------------------------------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendsasn | 1. Hispa 2. Black 4. Other 5. Other --------------------------+---------------------------------------------------------------- 0. None | .1895 .2586 .0258 .2347 | [.122,.2822] [.1713,.3706] [.0141,.0467] [.1408,.3648] | 1. Some | .6741 .683 .3318 .6311 | [.5762,.7589] [.5664,.7804] [.2841,.3832] [.4947,.7493] | 2. About half | .0773 .0213 .189 .0954 | [.0389,.1477] [.0039,.1068] [.1488,.2372] [.0411,.2059] | 3. Most | .0476 .0371 .4088 .0388 | [.0204,.1074] [.0111,.1165] [.3556,.4642] [.0117,.121] | 4. All | 0 0 .042 0 | [.023,.0756] | 5. Don't know | .0115 0 .0026 0 | [.0021,.0598] [4.8e-04,.0139] | Total | 1 1 1 1 | ------------------------------------------------------------------------------------------- ----------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendsasn | 6. White Total --------------------------+-------------------------------- 0. None | .2048 .1476 | [.1751,.238] [.129,.1683] | 1. Some | .6881 .5644 | [.651,.7228] [.5353,.5932] | 2. About half | .0805 .1141 | [.062,.104] [.0963,.1348] | 3. Most | .0146 .1521 | [.0077,.0274] [.1306,.1763] | 4. All | .002 .0151 | [3.8e-04,.011] [.0085,.0268] |

53

5. Don't know | .01 .0067 | [.0047,.0213] [.0035,.0127] | Total | 1 1 | ----------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(20) = 345.4962 Design-based F(18.44, 16987.43)= 24.5914 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 941 Number of PSUs = 941 Population size = 3,426.1505 Subpop. no. obs = 941 Subpop. size = 3,426.1505 Design df = 940 ------------------------------------------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendsblk | 1. Hispa 2. Black 4. Other 5. Other --------------------------+---------------------------------------------------------------- 0. None | .1581 .0682 .3267 .0706 | [.0994,.2422] [.0297,.1487] [.2781,.3792] [.0215,.2077] | 1. Some | .5785 .3612 .6369 .7773 | [.4795,.6716] [.2637,.4717] [.5838,.6869] [.5917,.8936] | 2. About half | .1307 .0672 .0205 .1522 | [.0782,.2104] [.0293,.1468] [.0095,.0435] [.057,.3477] | 3. Most | .1193 .3852 .0062 0 | [.0693,.1976] [.2857,.4952] [.0019,.0201] | 4. All | 0 .1028 0 0 | [.0526,.1911] | 5. Don't know | .0135 .0154 .0098 0 | [.0025,.0688] [.0029,.0785] [.0037,.0256] | Total | 1 1 1 1 | ------------------------------------------------------------------------------------------- ----------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendsblk | 6. White Total --------------------------+-------------------------------- 0. None | .3763 .3169 | [.3409,.4132] [.2913,.3436] | 1. Some | .5928 .5969 | [.5557,.6289] [.5691,.624] | 2. About half | .0158 .0331 | [.0087,.0283] [.0242,.0449] | 3. Most | .0058 .0372 | [.0022,.0151] [.0283,.0487] | 4. All | .0018 .007

54

| [3.3e-04,.0094] [.0037,.0132] | 5. Don't know | .0076 .009 | [.0033,.0174] [.0051,.0157] | Total | 1 1 | ----------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(20) = 370.6379 Design-based F(19.67, 18489.42)= 25.4077 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 912 Number of PSUs = 912 Population size = 3,351.6606 Subpop. no. obs = 912 Subpop. size = 3,351.6606 Design df = 911 -------------------------------------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendsblk | 1. Hispa 2. Black 4. Other 5. Other --------------------------+----------------------------------------------------------- 0. None | .1839 .0613 .4268 .3997 | [.1204,.2704] [.0263,.1363] [.3726,.4828] [.2756,.5381] | 1. Some | .5906 .3362 .505 .5407 | [.4949,.6799] [.2359,.4538] [.4492,.5607] [.4029,.6724] | 2. About half | .0809 .0852 .0261 .0199 | [.0397,.1578] [.0341,.1974] [.0135,.05] [.0036,.1012] | 3. Most | .1094 .4207 .0147 .0199 | [.0647,.1791] [.3072,.5431] [.0059,.0357] [.0036,.1012] | 4. All | .0129 .0965 0 .0199 | [.0024,.067] [.0485,.1829] [.0036,.1012] | 5. Don't know | .0222 0 .0274 0 | [.0067,.0708] [.0133,.0553] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- -------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendsblk | 6. White Total --------------------------+----------------------------- 0. None | .3949 .3678 | [.3574,.4338] [.3403,.3963] | 1. Some | .5783 .54 | [.5392,.6163] [.5109,.5688] |

55

2. About half | .0077 .025 | [.0033,.0179] [.0171,.0364] | 3. Most | .0034 .0412 | [.001,.0112] [.031,.0545] | 4. All | 0 .0076 | [.0042,.0138] | 5. Don't know | .0157 .0184 | [.0086,.0284] [.0118,.0286] | Total | 1 1 | -------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(20) = 334.8733 Design-based F(19.28, 17565.47)= 22.5774 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 918 Number of PSUs = 918 Population size = 3,350.3439 Subpop. no. obs = 918 Subpop. size = 3,350.3439 Design df = 917 -------------------------------------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendslatn | 1. Hispa 2. Black 4. Other 5. Other --------------------------+----------------------------------------------------------- 0. None | .16 .1248 .4821 .3579 | [.1004,.2453] [.0672,.2201] [.4288,.5359] [.2202,.5238] | 1. Some | .6319 .6471 .4626 .6054 | [.53,.7233] [.5338,.746] [.4098,.5162] [.4399,.7497] | 2. About half | .1198 .122 .0165 .0368 | [.0657,.2084] [.0656,.2156] [.0078,.0347] [.0068,.1756] | 3. Most | .0747 .0528 .0066 0 | [.035,.1521] [.0201,.1319] [.002,.0215] | 5. Don't know | .0136 .0533 .0322 0 | [.0025,.0702] [.0202,.1329] [.0174,.0589] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- -------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendslatn | 6. White Total --------------------------+-----------------------------

56

0. None | .479 .4308 | [.4412,.517] [.4029,.4592] | 1. Some | .4853 .5024 | [.4474,.5233] [.4741,.5308] | 2. About half | .0165 .0313 | [.0091,.0297] [.0229,.0428] | 3. Most | .0057 .014 | [.0022,.015] [.0087,.0224] | 5. Don't know | .0135 .0214 | [.0072,.0254] [.0144,.0317] | Total | 1 1 | -------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(16) = 107.2212 Design-based F(15.87, 14556.35)= 9.0291 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 898 Number of PSUs = 898 Population size = 3,302.3005 Subpop. no. obs = 898 Subpop. size = 3,302.3005 Design df = 897 -------------------------------------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendslatn | 1. Hispa 2. Black 4. Other 5. Other --------------------------+----------------------------------------------------------- 0. None | .2363 .158 .4467 .4076 | [.165,.3263] [.0908,.2608] [.3915,.5033] [.2821,.5465] | 1. Some | .5053 .7304 .4521 .4396 | [.4107,.5996] [.6139,.822] [.3973,.5081] [.3074,.5809] | 2. About half | .1231 .0906 .0253 .0691 | [.0746,.1964] [.0424,.1829] [.0114,.0551] [.0193,.2189] | 3. Most | .1222 .0209 .0061 .0202 | [.0742,.1948] [.0038,.106] [.0011,.0322] [.0037,.1031] | 4. All | .0131 0 0 .0635 | [.0024,.0682] [.0238,.1585] | 5. Don't know | 0 0 .0699 0 | [.0442,.1089] | Total | 1 1 1 1 |

57

-------------------------------------------------------------------------------------- -------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendslatn | 6. White Total --------------------------+----------------------------- 0. None | .4297 .403 | [.3911,.4692] [.3745,.4322] | 1. Some | .4886 .4891 | [.4493,.5281] [.4598,.5184] | 2. About half | .0383 .0455 | [.0252,.0577] [.0345,.0598] | 3. Most | .0099 .0193 | [.004,.0244] [.0127,.0292] | 4. All | 0 .0038 | [.0016,.0089] | 5. Don't know | .0335 .0393 | [.0223,.0502] [.0286,.0539] | Total | 1 1 | -------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(20) = 138.5559 Design-based F(18.92, 16971.67)= 8.4298 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 955 Number of PSUs = 955 Population size = 3,482.5268 Subpop. no. obs = 955 Subpop. size = 3,482.5268 Design df = 954 ------------------------------------------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendswht | 1. Hispa 2. Black 4. Other 5. Other --------------------------+---------------------------------------------------------------- 0. None | .0512 .0519 .1254 0 | [.0223,.1132] [.0198,.1288] [.0934,.1664] | 1. Some | .424 .5762 .5469 .4603 | [.3308,.5229] [.4645,.6807] [.4947,.598] [.3053,.6234] | 2. About half | .1411 .1085 .2016 .0766 | [.0867,.2215] [.0558,.2004] [.1639,.2454] [.0236,.2217] | 3. Most | .3703 .2474 .1198 .4631 | [.2792,.4716] [.1641,.3551] [.0909,.1563] [.3093,.6243] | 4. All | 0 0 .0032 0 | [5.9e-04,.0166] |

58

5. Don't know | .0135 .016 .0032 0 | [.0025,.0685] [.003,.0808] [5.9e-04,.0166] | Total | 1 1 1 1 | ------------------------------------------------------------------------------------------- ----------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendswht | 6. White Total --------------------------+-------------------------------- 0. None | .0086 .0513 | [.0036,.0203] [.0395,.0664] | 1. Some | .124 .3169 | [.1018,.1502] [.2914,.3436] | 2. About half | .1582 .1656 | [.1329,.1872] [.1462,.187] | 3. Most | .6322 .4221 | [.5959,.667] [.3953,.4494] | 4. All | .0696 .0372 | [.0531,.0909] [.0283,.0487] | 5. Don't know | .0075 .0068 | [.0032,.0172] [.0036,.0128] | Total | 1 1 | ----------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(20) = 335.1245 Design-based F(19.85, 18939.79)= 23.0269 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 915 Number of PSUs = 915 Population size = 3,364.3787 Subpop. no. obs = 915 Subpop. size = 3,364.3787 Design df = 914 -------------------------------------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendswht | 1. Hispa 2. Black 4. Other 5. Other --------------------------+----------------------------------------------------------- 0. None | .1049 .09 .0601 .019 | [.0568,.1855] [.0424,.1807] [.0385,.0928] [.0035,.0971] | 1. Some | .4073 .5636 .5651 .3881 | [.3162,.5051] [.44,.6797] [.51,.6187] [.2621,.531] | 2. About half | .2488 .1687 .2363 .1507

59

| [.1743,.342] [.0899,.2945] [.1932,.2856] [.0769,.2743] | 3. Most | .2167 .1613 .1101 .2879 | [.1474,.3068] [.0929,.2651] [.0835,.1437] [.185,.4186] | 4. All | .0224 .0164 .0093 .0863 | [.0068,.0714] [.003,.0843] [.0035,.0248] [.0372,.1877] | 5. Don't know | 0 0 .0191 .0679 | [.008,.0449] [.0254,.1689] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- -------------------------------------------------------- | COMB Ethnicity, 5 category COMB friendswht | 6. White Total --------------------------+----------------------------- 0. None | .0038 .0356 | [.0012,.0126] [.026,.0486] | 1. Some | .123 .3255 | [.0997,.1508] [.2979,.3543] | 2. About half | .1768 .2004 | [.1492,.2083] [.1782,.2246] | 3. Most | .633 .3884 | [.595,.6695] [.3611,.4164] | 4. All | .0514 .035 | [.0368,.0715] [.0263,.0464] | 5. Don't know | .0119 .0151 | [.0059,.0236] [.0093,.0245] | Total | 1 1 | -------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(20) = 322.8481 Design-based F(19.45, 17780.05)= 21.9236 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. . svy, subpop(if survey2018==1): tab friendsintl intlst, col stubw(25) ci (running tabulate on estimation sample) Number of strata = 1 Number of obs = 903 Number of PSUs = 903 Population size = 3,348.7005 Subpop. no. obs = 903 Subpop. size = 3,348.7005 Design df = 902

60

----------------------------------------------------------------------------- | COMB Are you an international student? COMB friendsintl | 0. No 1. Yes Total --------------------------+-------------------------------------------------- 0. None | .3037 .0457 .2472 | [.2764,.3324] [.0238,.086] [.224,.2721] | 1. Some | .6029 .2969 .5359 | [.5726,.6324] [.2313,.3721] [.5064,.5652] | 2. About half | .0539 .2139 .0889 | [.0417,.0696] [.1558,.2863] [.072,.1093] | 3. Most | .0212 .3744 .0985 | [.0138,.0326] [.3028,.4518] [.0798,.1209] | 4. All | .0011 .0432 .0103 | [2.0e-04,.0058] [.0203,.0895] [.0051,.0208] | 5. Don't know | .0172 .026 .0192 | [.0108,.0275] [.0098,.0673] [.0123,.0296] | Total | 1 1 1 | ----------------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 335.5424 Design-based F(4.83, 4356.42)= 72.2921 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members.

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Table C27: Experiences of racial/ethnic harassment and discrimination: 2016 v. 2018 (Black students only). Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,931 Number of PSUs = 1,931 Population size = 7,101.8252 Subpop. no. obs = 107 Subpop. size = 377.703634 Design df = 1,929 ------------------------------------------------------- COMB | microagso | RECODE of surveyyear cmedrace | 2016 2018 Total ----------+-------------------------------------------- 0. 0 | .7283 .889 .8082 | [.6182,.8161] [.7929,.9437] [.7367,.8638] | 1. 1 | .2717 .111 .1918 | [.1839,.3818] [.0563,.2071] [.1362,.2633] | Total | 1 1 1 | ------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 80.4265 Design-based F(1, 1929) = 6.1010 P = 0.0136 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,931 Number of PSUs = 1,931 Population size = 7,101.8252 Subpop. no. obs = 107 Subpop. size = 377.703634 Design df = 1,929 ------------------------------------------------------- COMB | microagin | RECODE of surveyyear sultrace | 2016 2018 Total ----------+-------------------------------------------- 0. 0 | .5821 .7392 .6602 | [.4691,.6871] [.6238,.8289] [.5793,.7327] | 1. 1 | .4179 .2608 .3398 | [.3129,.5309] [.1711,.3762] [.2673,.4207] | Total | 1 1 1 | ------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 53.1220 Design-based F(1, 1929) = 3.9806 P = 0.0462

62

(running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,931 Number of PSUs = 1,931 Population size = 7,101.8252 Subpop. no. obs = 107 Subpop. size = 377.703634 Design df = 1,929 ------------------------------------------------------- COMB | microagat | RECODE of surveyyear tackrace | 2016 2018 Total ----------+-------------------------------------------- 0. 0 | .9273 .9801 .9536 | [.8431,.968] [.9005,.9963] [.9053,.9778] | 1. 1 | .0727 .0199 .0464 | [.032,.1569] [.0037,.0995] [.0222,.0947] | Total | 1 1 1 | ------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 30.3951 Design-based F(1, 1929) = 2.2197 P = 0.1364 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,931 Number of PSUs = 1,931 Population size = 7,101.8252 Subpop. no. obs = 107 Subpop. size = 377.703634 Design df = 1,929 ------------------------------------------------------- COMB | microagig | RECODE of surveyyear norerace | 2016 2018 Total ----------+-------------------------------------------- 0. 0 | .6548 .7734 .7137 | [.5419,.7525] [.6607,.8569] [.635,.7813] | 1. 1 | .3452 .2266 .2863 | [.2475,.4581] [.1431,.3393] [.2187,.365] | Total | 1 1 1 | ------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 33.2748 Design-based F(1, 1929) = 2.4964 P = 0.1143 (running tabulate on estimation sample)

63

Number of strata = 2 Number of obs = 1,931 Number of PSUs = 1,931 Population size = 7,101.8252 Subpop. no. obs = 107 Subpop. size = 377.703634 Design df = 1,929 ------------------------------------------------------- COMB | microagto | RECODE of surveyyear kenrace | 2016 2018 Total ----------+-------------------------------------------- 0. 0 | .4343 .5335 .4836 | [.328,.5469] [.4116,.6515] [.4023,.5658] | 1. 1 | .5657 .4665 .5164 | [.4531,.672] [.3485,.5884] [.4342,.5977] | Total | 1 1 1 | ------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 19.0417 Design-based F(1, 1929) = 1.3742 P = 0.2412 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,931 Number of PSUs = 1,931 Population size = 7,101.8252 Subpop. no. obs = 107 Subpop. size = 377.703634 Design df = 1,929 ------------------------------------------------------- COMB | microagcl | RECODE of surveyyear discrace | 2016 2018 Total ----------+-------------------------------------------- 0. 0 | .6552 .8049 .7296 | [.5423,.7529] [.6978,.8805] [.6524,.7951] | 1. 1 | .3448 .1951 .2704 | [.2471,.4577] [.1195,.3022] [.2049,.3476] | Total | 1 1 1 | ------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 54.8601 Design-based F(1, 1929) = 4.2203 P = 0.0401 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,931 Number of PSUs = 1,931 Population size = 7,101.8252

64

Subpop. no. obs = 107 Subpop. size = 377.703634 Design df = 1,929 ------------------------------------------------------- COMB | microaggr | RECODE of surveyyear pprjrace | 2016 2018 Total ----------+-------------------------------------------- 0. 0 | .8757 .8945 .885 | [.7822,.9325] [.8022,.9466] [.8239,.9268] | 1. 1 | .1243 .1055 .115 | [.0675,.2178] [.0534,.1978] [.0732,.1761] | Total | 1 1 1 | ------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 1.6851 Design-based F(1, 1929) = 0.1331 P = 0.7153 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,931 Number of PSUs = 1,931 Population size = 7,101.8252 Subpop. no. obs = 107 Subpop. size = 377.703634 Design df = 1,929 ------------------------------------------------------- COMB | microagjo | RECODE of surveyyear kesrace | 2016 2018 Total ----------+-------------------------------------------- 0. 0 | .5837 .8373 .7098 | [.4707,.6885] [.7334,.9059] [.6314,.7773] | 1. 1 | .4163 .1627 .2902 | [.3115,.5293] [.0941,.2666] [.2227,.3686] | Total | 1 1 1 | ------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 150.7673 Design-based F(1, 1929) = 11.4955 P = 0.0007 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,931 Number of PSUs = 1,931 Population size = 7,101.8252 Subpop. no. obs = 107 Subpop. size = 377.703634

65

Design df = 1,929 ------------------------------------------------------- COMB | microagad | RECODE of surveyyear minrace | 2016 2018 Total ----------+-------------------------------------------- 0. 0 | .6807 .7971 .7386 | [.5692,.7748] [.6876,.8752] [.6618,.8031] | 1. 1 | .3193 .2029 .2614 | [.2252,.4308] [.1248,.3124] [.1969,.3382] | Total | 1 1 1 | ------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 33.8707 Design-based F(1, 1929) = 2.5783 P = 0.1085 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,931 Number of PSUs = 1,931 Population size = 7,101.8252 Subpop. no. obs = 107 Subpop. size = 377.703634 Design df = 1,929 ------------------------------------------------------- COMB | microagun | RECODE of surveyyear wlcrace | 2016 2018 Total ----------+-------------------------------------------- 0. 0 | .4021 .6712 .5358 | [.2984,.5153] [.5528,.7712] [.4536,.6161] | 1. 1 | .5979 .3288 .4642 | [.4847,.7016] [.2288,.4472] [.3839,.5464] | Total | 1 1 1 | ------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 140.5724 Design-based F(1, 1929) = 10.5436 P = 0.0012

66

Table C28: Experiences of harassment and discrimination based on sexual orientation: 2016 v. 2018 (LGBTQ+ students only). Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,930 Number of PSUs = 1,930 Population size = 7,098.7651 Subpop. no. obs = 353 Subpop. size = 1,224.2253 Design df = 1,928 ----------------------------------------------------------------------- COMB microagsocmed by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .8885 .9207 .9076 | [.8365,.9254] [.8809,.948] [.8775,.9309] | 1 | .1115 .0793 .0924 | [.0746,.1635] [.052,.1191] [.0691,.1225] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 5.7862 Design-based F(1, 1928) = 1.3838 P = 0.2396 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,930 Number of PSUs = 1,930 Population size = 7,098.7651 Subpop. no. obs = 353 Subpop. size = 1,224.2253 Design df = 1,928 ----------------------------------------------------------------------- COMB microaginsult by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .7613 .8285 .8012 | [.6967,.8159] [.7791,.8687] [.7627,.8348] | 1 | .2387 .1715 .1988 | [.1841,.3033] [.1313,.2209] [.1652,.2373] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 13.1897 Design-based F(1, 1928) = 3.2259 P = 0.0726

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(running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,930 Number of PSUs = 1,930 Population size = 7,098.7651 Subpop. no. obs = 353 Subpop. size = 1,224.2253 Design df = 1,928 ----------------------------------------------------------------------- COMB microagattack by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .9585 .9778 .97 | [.9201,.9789] [.9465,.991] [.9487,.9826] | 1 | .0415 .0222 .03 | [.0211,.0799] [.009,.0535] [.0174,.0513] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 5.9667 Design-based F(1, 1928) = 1.2612 P = 0.2616 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,930 Number of PSUs = 1,930 Population size = 7,098.7651 Subpop. no. obs = 353 Subpop. size = 1,224.2253 Design df = 1,928 ----------------------------------------------------------------------- COMB microagignore by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .8737 .8899 .8833 | [.8195,.9133] [.8466,.9221] [.8509,.9094] | 1 | .1263 .1101 .1167 | [.0867,.1805] [.0779,.1534] [.0906,.1491] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 1.1887 Design-based F(1, 1928) = 0.2903 P = 0.5901 (running tabulate on estimation sample)

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Number of strata = 2 Number of obs = 1,930 Number of PSUs = 1,930 Population size = 7,098.7651 Subpop. no. obs = 353 Subpop. size = 1,224.2253 Design df = 1,928 ----------------------------------------------------------------------- COMB microagtoken by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .8753 .9014 .8908 | [.8217,.9144] [.8619,.9306] [.8601,.9154] | 1 | .1247 .0986 .1092 | [.0856,.1783] [.0694,.1381] [.0846,.1399] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 3.2798 Design-based F(1, 1928) = 0.8390 P = 0.3598 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,930 Number of PSUs = 1,930 Population size = 7,098.7651 Subpop. no. obs = 353 Subpop. size = 1,224.2253 Design df = 1,928 ----------------------------------------------------------------------- COMB microagcldisc by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .9039 .9538 .9335 | [.8547,.9377] [.9225,.9728] [.9078,.9524] | 1 | .0961 .0462 .0665 | [.0623,.1453] [.0272,.0775] [.0476,.0922] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 18.6423 Design-based F(1, 1928) = 4.7286 P = 0.0298 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,930 Number of PSUs = 1,930 Population size = 7,098.7651

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Subpop. no. obs = 353 Subpop. size = 1,224.2253 Design df = 1,928 ----------------------------------------------------------------------- COMB microaggrpprj by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .9514 .9911 .9749 | [.9112,.9739] [.971,.9973] [.9568,.9856] | 1 | .0486 .0089 .0251 | [.0261,.0888] [.0027,.029] [.0144,.0432] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 29.9555 Design-based F(1, 1928) = 7.8517 P = 0.0051 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,930 Number of PSUs = 1,930 Population size = 7,098.7651 Subpop. no. obs = 353 Subpop. size = 1,224.2253 Design df = 1,928 ----------------------------------------------------------------------- COMB microagjokes by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .7336 .8799 .8205 | [.6673,.7908] [.8361,.9132] [.7835,.8523] | 1 | .2664 .1201 .1795 | [.2092,.3327] [.0868,.1639] [.1477,.2165] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 67.6376 Design-based F(1, 1928) = 16.6205 P = 0.0000 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,930 Number of PSUs = 1,930 Population size = 7,098.7651 Subpop. no. obs = 353 Subpop. size = 1,224.2253

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Design df = 1,928 ----------------------------------------------------------------------- COMB microagadmin by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .9101 .9449 .9307 | [.8617,.9427] [.9089,.9672] [.9035,.9507] | 1 | .0899 .0551 .0693 | [.0573,.1383] [.0328,.0911] [.0493,.0965] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 8.7636 Design-based F(1, 1928) = 2.0600 P = 0.1514 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,930 Number of PSUs = 1,930 Population size = 7,098.7651 Subpop. no. obs = 353 Subpop. size = 1,224.2253 Design df = 1,928 ----------------------------------------------------------------------- COMB microagunwlc by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .8456 .9406 .902 | [.7881,.8896] [.907,.9626] [.8723,.9254] | 1 | .1544 .0594 .098 | [.1104,.2119] [.0374,.093] [.0746,.1277] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 47.6264 Design-based F(1, 1928) = 12.0751 P = 0.0005

Table C29: Gender or sexual orientation discrimination for heterosexual females: 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,910 Number of PSUs = 1,910 Population size = 7,024.2579

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Subpop. no. obs = 869 Subpop. size = 3,163.9624 Design df = 1,908 ----------------------------------------------------------------------- COMB microagsocmed by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .9424 .9842 .9621 | [.9219,.9577] [.9655,.9929] [.9494,.9718] | 1 | .0576 .0158 .0379 | [.0423,.0781] [.0071,.0345] [.0282,.0506] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 22.9210 Design-based F(1, 1908) = 10.5317 P = 0.0012 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,910 Number of PSUs = 1,910 Population size = 7,024.2579 Subpop. no. obs = 869 Subpop. size = 3,163.9624 Design df = 1,908 ----------------------------------------------------------------------- COMB microaginsult by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .8831 .9253 .903 | [.8551,.9062] [.9007,.9441] [.8847,.9186] | 1 | .1169 .0747 .097 | [.0938,.1449] [.0559,.0993] [.0814,.1153] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 9.6847 Design-based F(1, 1908) = 6.0474 P = 0.0140 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,910 Number of PSUs = 1,910 Population size = 7,024.2579 Subpop. no. obs = 869 Subpop. size = 3,163.9624

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Design df = 1,908 ----------------------------------------------------------------------- COMB microagattack by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .9851 .9951 .9898 | [.9722,.992] [.9842,.9985] [.9823,.9942] | 1 | .0149 .0049 .0102 | [.008,.0278] [.0015,.0158] [.0058,.0177] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 4.8101 Design-based F(1, 1908) = 3.0123 P = 0.0828 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,910 Number of PSUs = 1,910 Population size = 7,024.2579 Subpop. no. obs = 869 Subpop. size = 3,163.9624 Design df = 1,908 ----------------------------------------------------------------------- COMB microagignore by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .9494 .9705 .9593 | [.9287,.9643] [.9518,.982] [.9461,.9694] | 1 | .0506 .0295 .0407 | [.0357,.0713] [.018,.0482] [.0306,.0539] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 5.4233 Design-based F(1, 1908) = 3.1512 P = 0.0760 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,910 Number of PSUs = 1,910 Population size = 7,024.2579 Subpop. no. obs = 869 Subpop. size = 3,163.9624 Design df = 1,908

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----------------------------------------------------------------------- COMB microagtoken by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .9226 .9236 .9231 | [.8995,.9408] [.8976,.9435] [.9064,.937] | 1 | .0774 .0764 .0769 | [.0592,.1005] [.0565,.1024] [.063,.0936] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 0.0066 Design-based F(1, 1908) = 0.0040 P = 0.9495 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,910 Number of PSUs = 1,910 Population size = 7,024.2579 Subpop. no. obs = 869 Subpop. size = 3,163.9624 Design df = 1,908 ----------------------------------------------------------------------- COMB microagcldisc by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .9791 .9823 .9806 | [.9648,.9876] [.9681,.9902] [.9713,.9869] | 1 | .0209 .0177 .0194 | [.0124,.0352] [.0098,.0319] [.0131,.0287] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 0.2571 Design-based F(1, 1908) = 0.1705 P = 0.6797 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,910 Number of PSUs = 1,910 Population size = 7,024.2579 Subpop. no. obs = 869 Subpop. size = 3,163.9624 Design df = 1,908 ----------------------------------------------------------------------- COMB microaggrpprj by |

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sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .9914 .9933 .9923 | [.9803,.9963] [.9822,.9975] [.9855,.9959] | 1 | .0086 .0067 .0077 | [.0037,.0197] [.0025,.0178] [.0041,.0145] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 0.2160 Design-based F(1, 1908) = 0.1410 P = 0.7074 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,910 Number of PSUs = 1,910 Population size = 7,024.2579 Subpop. no. obs = 869 Subpop. size = 3,163.9624 Design df = 1,908 ----------------------------------------------------------------------- COMB microagjokes by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .9162 .9552 .9346 | [.8917,.9355] [.9343,.9697] [.919,.9474] | 1 | .0838 .0448 .0654 | [.0645,.1083] [.0303,.0657] [.0526,.081] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 11.8810 Design-based F(1, 1908) = 7.2396 P = 0.0072 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,910 Number of PSUs = 1,910 Population size = 7,024.2579 Subpop. no. obs = 869 Subpop. size = 3,163.9624 Design df = 1,908 ----------------------------------------------------------------------- COMB microagadmin by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total

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--------------------------+-------------------------------------------- 0 | .981 .9863 .9835 | [.9672,.9891] [.9701,.9938] [.9741,.9895] | 1 | .019 .0137 .0165 | [.0109,.0328] [.0062,.0299] [.0105,.0259] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 0.8173 Design-based F(1, 1908) = 0.4484 P = 0.5032 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,910 Number of PSUs = 1,910 Population size = 7,024.2579 Subpop. no. obs = 869 Subpop. size = 3,163.9624 Design df = 1,908 ----------------------------------------------------------------------- COMB microagunwlc by | sexual orientation and | RECODE of surveyyear gender | 2016 2018 Total --------------------------+-------------------------------------------- 0 | .9479 .9889 .9672 | [.928,.9625] [.9765,.9948] [.9559,.9758] | 1 | .0521 .0111 .0328 | [.0375,.072] [.0052,.0235] [.0242,.0441] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(1) = 25.2857 Design-based F(1, 1908) = 16.8169 P = 0.0000 . end of do-file

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Table C30: Agreement that “at Brandeis sexual harassment and violence is widespread” by gender and sexual orientation: 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 894 Number of PSUs = 894 Population size = 3,305.5289 Subpop. no. obs = 894 Subpop. size = 3,305.5289 Design df = 893 -------------------------------------------------------------------------------------- Agree/Disagree: At | Brandeis, sexual | harassment and violence | COMB Gender+sex is widespread. | Heterose Heterose LGBTQ Total --------------------------+----------------------------------------------------------- 1. Strongly disagree | .413 .2659 .1844 .2978 | [.3615,.4665] [.2285,.307] [.1399,.2392] [.2708,.3261] | 2. Disagree | .3289 .3567 .218 .3171 | [.2811,.3806] [.3158,.3997] [.1728,.2712] [.2902,.3452] | 3. Somewhat disagree | .1302 .1969 .2308 .1818 | [.0991,.1692] [.1647,.2336] [.1827,.287] [.1603,.2055] | 4. Somewhat agree | .0883 .1172 .2146 .1287 | [.0636,.1212] [.0928,.1469] [.1708,.2661] [.1111,.1486] | 5. Agree | .0301 .0445 .0809 .0476 | [.0171,.0525] [.0297,.0663] [.0546,.1184] [.0369,.0611] | 6. Strongly agree | .0095 .0189 .0712 .0271 | [.0028,.0319] [.0104,.0342] [.0468,.107] [.0193,.0379] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(10) = 79.2792 Design-based F(9.83, 8774.31)= 9.9175 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members.

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Table C31: Agree that Brandeis has a hostile environment toward Jews by Jewish status: 2016 v. 2018. Weighted proportions with 95% confidence intervals. Non-Jewish students (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,894 Number of PSUs = 1,894 Population size = 6,952.0852 Subpop. no. obs = 1,166 Subpop. size = 4,431.9534 Design df = 1,892 ----------------------------------------------------------------------- COMB There is a hostile | RECODE of surveyyear environment towards Jews | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .5448 .6352 .5904 | [.5093,.5799] [.5993,.6696] [.5651,.6152] | 2. Disagree | .3157 .2774 .2964 | [.2836,.3497] [.2463,.3107] [.2738,.32] | 3. Somewhat disagree | .0884 .0515 .0698 | [.0698,.1114] [.0374,.0705] [.0577,.0842] | 4. Somewhat agree | .0313 .0233 .0273 | [.0213,.0457] [.0138,.0391] [.0199,.0372] | 5. Agree | .0137 .0066 .0102 | [.0068,.0275] [.0024,.0179] [.0057,.018] | 6. Strongly agree | .006 .006 .006 | [.0022,.016] [.0018,.0196] [.0028,.013] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 21.5903 Design-based F(4.91, 9293.62)= 2.9072 P = 0.0131 Jewish students (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,908 Number of PSUs = 1,908 Population size = 7,024.7918 Subpop. no. obs = 681 Subpop. size = 2,356.6766 Design df = 1,906 ----------------------------------------------------------------------------- COMB There is a hostile | RECODE of surveyyear environment towards Jews | 2016 2018 Total --------------------------+-------------------------------------------------- 1. Strongly disagree | .4488 .5499 .4975

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| [.4047,.4936] [.5028,.5961] [.4651,.5298] | 2. Disagree | .3643 .3487 .3568 | [.3224,.4083] [.3053,.3948] [.3264,.3884] | 3. Somewhat disagree | .1327 .0654 .1003 | [.1049,.1666] [.0459,.0923] [.0824,.1215] | 4. Somewhat agree | .0397 .0275 .0338 | [.0256,.0613] [.0157,.0477] [.0239,.0476] | 5. Agree | .0116 .0086 .0101 | [.0051,.0265] [.0032,.0224] [.0054,.019] | 6. Strongly agree | .0029 0 .0015 | [5.5e-04,.0151] [2.8e-04,.0079] | Total | 1 1 1 | ----------------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 36.8733 Design-based F(5.00, 9527.49)= 3.5874 P = 0.0030

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Table C32: Agree that Brandeis has a hostile environment toward Israel by Jewish status: 2016 v. 2018. Weighted proportions with 95% confidence intervals. Non-Jewish students (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,889 Number of PSUs = 1,889 Population size = 6,933.9577 Subpop. no. obs = 1,161 Subpop. size = 4,413.826 Design df = 1,887 ----------------------------------------------------------------------- COMB There is a hostile | environment towards | RECODE of surveyyear Israel | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .2916 .4645 .3787 | [.2607,.3245] [.428,.5015] [.3543,.4036] | 2. Disagree | .3919 .3362 .3639 | [.3577,.4273] [.3026,.3716] [.3397,.3888] | 3. Somewhat disagree | .1888 .1194 .1538 | [.1626,.2181] [.0982,.1445] [.1366,.1728] | 4. Somewhat agree | .0893 .062 .0755 | [.0718,.1105] [.0467,.082] [.0635,.0896] | 5. Agree | .0247 .0109 .0177 | [.0157,.0386] [.0054,.022] [.0121,.0259] | 6. Strongly agree | .0138 .0069 .0103 | [.0071,.0266] [.0021,.0224] [.0057,.0186] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 67.9261 Design-based F(4.74, 8942.26)= 9.5046 P = 0.0000 Jewish students (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,906 Number of PSUs = 1,906 Population size = 7,018.2044 Subpop. no. obs = 679 Subpop. size = 2,350.0892 Design df = 1,904 ----------------------------------------------------------------------- COMB There is a hostile | environment towards | RECODE of surveyyear Israel | 2016 2018 Total

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--------------------------+-------------------------------------------- 1. Strongly disagree | .1829 .3144 .2463 | [.1505,.2206] [.2721,.3601] [.2192,.2755] | 2. Disagree | .3617 .3681 .3648 | [.3198,.4059] [.3241,.4145] [.3342,.3966] | 3. Somewhat disagree | .2298 .1858 .2086 | [.1944,.2695] [.1522,.2247] [.1836,.2359] | 4. Somewhat agree | .1534 .1028 .129 | [.1237,.1886] [.0768,.1364] [.1085,.1527] | 5. Agree | .0518 .0197 .0363 | [.0352,.0756] [.0104,.0371] [.0261,.0504] | 6. Strongly agree | .0204 .0091 .015 | [.0109,.0379] [.0034,.0241] [.0088,.0253] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 64.7691 Design-based F(4.99, 9508.51)= 6.2115 P = 0.0000

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Table C33: Agree that Brandeis “unpopular opinions can be expressed freely” by political ideology: 2016 v. 2018. Weighted proportions with 95% confidence intervals. Liberal students only (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,895 Number of PSUs = 1,895 Population size = 6,978.1045 Subpop. no. obs = 1,290 Subpop. size = 4,608.3433 Design df = 1,893 ----------------------------------------------------------------------- | RECODE of surveyyear COMB campusenvfrdexp | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .1459 .1456 .1457 | [.1236,.1714] [.1233,.1712] [.1296,.1635] | 2. Disagree | .1801 .2547 .2192 | [.1554,.2077] [.2272,.2843] [.2003,.2393] | 3. Somewhat disagree | .2257 .2823 .2554 | [.1985,.2554] [.2533,.3132] [.2352,.2767] | 4. Somewhat agree | .2768 .1958 .2343 | [.2472,.3086] [.1704,.2239] [.2147,.2552] | 5. Agree | .1296 .0987 .1134 | [.108,.1546] [.0798,.1215] [.0987,.1298] | 6. Strongly agree | .042 .023 .032 | [.0304,.0578] [.0144,.0364] [.0245,.0417] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 40.4603 Design-based F(4.99, 9450.12)= 7.0294 P = 0.0000 Moderate students only Number of strata = 2 Number of obs = 1,918 Number of PSUs = 1,918 Population size = 7,041.9431 Subpop. no. obs = 344 Subpop. size = 1,383.0615 Design df = 1,916 ----------------------------------------------------------------------- | RECODE of surveyyear COMB campusenvfrdexp | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .1706 .2566 .2058 | [.1326,.2166] [.1973,.3265] [.1717,.2448]

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| 2. Disagree | .1789 .1173 .1536 | [.1401,.2257] [.0789,.1708] [.1248,.1877] | 3. Somewhat disagree | .1477 .2358 .1839 | [.1095,.1964] [.1769,.307] [.1495,.224] | 4. Somewhat agree | .2886 .2309 .265 | [.2357,.348] [.1737,.3] [.2248,.3094] | 5. Agree | .1734 .122 .1523 | [.1312,.2256] [.0792,.1833] [.1206,.1906] | 6. Strongly agree | .0407 .0374 .0394 | [.0213,.0764] [.0157,.0867] [.0234,.0654] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 61.7549 Design-based F(4.92, 9428.64)= 2.6670 P = 0.0211 Conservative students only Number of strata = 2 Number of obs = 1,931 Number of PSUs = 1,931 Population size = 7,099.7908 Subpop. no. obs = 168 Subpop. size = 616.707595 Design df = 1,929 ----------------------------------------------------------------------- | RECODE of surveyyear COMB campusenvfrdexp | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .292 .3794 .3335 | [.2199,.3763] [.2897,.4781] [.2753,.3973] | 2. Disagree | .1271 .2122 .1676 | [.08,.196] [.1415,.3056] [.1237,.2231] | 3. Somewhat disagree | .1375 .149 .143 | [.0883,.2077] [.0902,.2362] [.1027,.1956] | 4. Somewhat agree | .2983 .1755 .2399 | [.2249,.3839] [.1095,.2692] [.1877,.3013] | 5. Agree | .1257 .0839 .1058 | [.0791,.194] [.039,.1714] [.0706,.1557] | 6. Strongly agree | .0194 0 .0102 | [.006,.061] [.0031,.0325] | Total | 1 1 1 | -----------------------------------------------------------------------

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Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 88.3522 Design-based F(4.92, 9486.68)= 2.0117 P = 0.0749

Table C34: Agree that Brandeis “unpopular opinions can be expressed freely:” 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,830 Number of PSUs = 1,830 Population size = 6,718.8232 Design df = 1,828 ----------------------------------------------------------------------- | RECODE of surveyyear COMB campusenvfrdexp | 2016 2018 Total --------------------------+-------------------------------------------- 1. Strongly disagree | .1637 .1834 .1735 | [.1445,.1849] [.1617,.2073] [.1588,.1892] | 2. Disagree | .1732 .2286 .2005 | [.1534,.1949] [.2054,.2535] [.1852,.2168] | 3. Somewhat disagree | .1993 .2616 .2301 | [.178,.2226] [.2367,.2883] [.2135,.2476] | 4. Somewhat agree | .2806 .2022 .2419 | [.2558,.3069] [.1794,.2271] [.2248,.2598] | 5. Agree | .1424 .101 .1219 | [.1234,.1637] [.0839,.1212] [.1089,.1363] | 6. Strongly agree | .0408 .0231 .0321 | [.0309,.0537] [.0153,.035] [.0254,.0404] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(5) = 38.2080 Design-based F(4.97, 9093.93)= 9.4241 P = 0.0000

84

Table C35: Percent experiencing social discomfort discussion contentious political issues, by issue position: 2018. Weighted proportions with 95% confidence intervals. Race relations in America (running tabulate on estimation sample) Number of strata = 1 Number of obs = 884 Number of PSUs = 884 Population size = 3,261.3548 Subpop. no. obs = 884 Subpop. size = 3,261.3548 Design df = 883 ---------------------------------------------------------------------- RECODE of | discussra | ce_b18 | (At | Brandeis, | how | comfortab | le are | you | discussin | RECODE of polissrace (COMB polissrace) g race | disagree agree DK Total ----------+----------------------------------------------------------- 0 | .7679 .9136 .9573 .8808 | [.7138,.8145] [.8899,.9326] [.8906,.9841] [.8598,.8991] | 1 | .2321 .0864 .0427 .1192 | [.1855,.2862] [.0674,.1101] [.0159,.1094] [.1009,.1402] | Total | 1 1 1 1 | ---------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(2) = 35.5607 Design-based F(1.95, 1721.22)= 24.3328 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. Climate change (running tabulate on estimation sample) Number of strata = 1 Number of obs = 885 Number of PSUs = 885 Population size = 3,270.338 Subpop. no. obs = 885 Subpop. size = 3,270.338 Design df = 884 ---------------------------------------------------------------------- RECODE of | discusscl | m_b18 (At | Brandeis, | how |

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comfortab | le are | you | discussin | RECODE of polissfosfl (COMB polissfosfl) g climat | disagree agree DK Total ----------+----------------------------------------------------------- 0 | .938 .9865 .9731 .9756 | [.8908,.9655] [.9735,.9932] [.93,.99] [.9633,.9838] | 1 | .062 .0135 .0269 .0244 | [.0345,.1092] [.0068,.0265] [.01,.07] [.0162,.0367] | Total | 1 1 1 1 | ---------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(2) = 13.4210 Design-based F(1.94, 1710.88)= 7.9153 P = 0.0004 Note: 1 stratum omitted because it contains no subpopulation members. The Israeli-Palestinian conflict (running tabulate on estimation sample) Number of strata = 1 Number of obs = 876 Number of PSUs = 876 Population size = 3,232.2944 Subpop. no. obs = 876 Subpop. size = 3,232.2944 Design df = 875 ---------------------------------------------------------------------- RECODE of | discussis | r_b18 (At | Brandeis, | how | comfortab | le are | you | discussin | RECODE of polissisr (COMB polissisr) g the Is | disagree agree DK Total ----------+----------------------------------------------------------- 0 | .802 .6632 .8755 .8069 | [.7736,.8277] [.5486,.7614] [.8258,.9124] [.7829,.8288] | 1 | .198 .3368 .1245 .1931 | [.1723,.2264] [.2386,.4514] [.0876,.1742] [.1712,.2171] | Total | 1 1 1 1 | ---------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson:

86

Uncorrected chi2(2) = 12.8530 Design-based F(2.00, 1748.70)= 8.4284 P = 0.0002 Note: 1 stratum omitted because it contains no subpopulation members. Immigration (running tabulate on estimation sample) Number of strata = 1 Number of obs = 880 Number of PSUs = 880 Population size = 3,246.8946 Subpop. no. obs = 880 Subpop. size = 3,246.8946 Design df = 879 ---------------------------------------------------------------------- RECODE of | discussim | m_b18 (At | Brandeis, | how | comfortab | le are | you | RECODE of polisssanct_b18 (Agree/Disagree: Universities discussin | should declare sanctuary g immigr | disagree agree DK Total ----------+----------------------------------------------------------- 0 | .7665 .9406 .9719 .9239 | [.6825,.8336] [.9216,.9552] [.9102,.9916] [.9059,.9387] | 1 | .2335 .0594 .0281 .0761 | [.1664,.3175] [.0448,.0784] [.0084,.0898] [.0613,.0941] | Total | 1 1 1 1 | ---------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(2) = 39.3217 Design-based F(1.99, 1751.98)= 24.7361 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. Guns in America (running tabulate on estimation sample) Number of strata = 1 Number of obs = 886 Number of PSUs = 886 Population size = 3,271.6453 Subpop. no. obs = 886 Subpop. size = 3,271.6453 Design df = 885 ---------------------------------------------------------------------- RECODE of | discussgu | ns_b18 | (At |

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Brandeis, | how | comfortab | le are | you | RECODE of polissguns_b18 (Agree/Disagree: Students should discussin | be allowed to carry le g guns | disagree agree DK Total ----------+----------------------------------------------------------- 0 | .9313 .5147 .8135 .9074 | [.9147,.9449] [.3871,.6405] [.5894,.9299] [.8892,.9229] | 1 | .0687 .4853 .1865 .0926 | [.0551,.0853] [.3595,.6129] [.0701,.4106] [.0771,.1108] | Total | 1 1 1 1 | ---------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(2) = 92.9004 Design-based F(1.99, 1763.74)= 61.2513 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. Sexual assault (running tabulate on estimation sample) Number of strata = 1 Number of obs = 872 Number of PSUs = 872 Population size = 3,213.2858 Subpop. no. obs = 872 Subpop. size = 3,213.2858 Design df = 871 ---------------------------------------------------------------------- RECODE of | discussas | slt_b18 | (At | Brandeis, | how | comfortab | le are | you | RECODE of polissassault_b18 (Agr/Disagr: Univs should make discussin | it easier for victims g sexu | disagree agree DK Total ----------+----------------------------------------------------------- 0 | .8296 .9341 .9703 .9076 | [.7856,.8661] [.9105,.9517] [.9371,.9862] [.889,.9233] | 1 | .1704 .0659 .0297 .0924 | [.1339,.2144] [.0483,.0895] [.0138,.0629] [.0767,.111] | Total | 1 1 1 1 | ---------------------------------------------------------------------- Key: column proportion

88

[95% confidence interval for column proportion] Pearson: Uncorrected chi2(2) = 30.5803 Design-based F(1.99, 1734.45)= 20.4681 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members.

Table C36: Binary logistic regression models on experiencing social discomfort discussing each topic, controlling for having a minority opinion, political ideology, racial/ethnic identity and Jewish status, and gender/sexual orientation. Race relations in America (running logit on estimation sample) Survey: Logistic regression Number of strata = 1 Number of obs = 866 Number of PSUs = 866 Population size = 3,191.3301 Subpop. no. obs = 866 Subpop. size = 3,191.3301 Design df = 865 F( 11, 855) = 7.20 Prob > F = 0.0000 ------------------------------------------------------------------------------------------ | Linearized discomfrace_b18 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------------+---------------------------------------------------------------- polissrace3part | agree | -1.159757 .2362648 -4.91 0.000 -1.623477 -.6960378 DK | -1.792557 .5398435 -3.32 0.001 -2.852113 -.7330003 | poliscale3 | Moderate | .2424423 .2760462 0.88 0.380 -.2993565 .784241 Conservative | 1.142158 .2863448 3.99 0.000 .5801459 1.704169 | racejew | Hispanic (non-Jewish) | .4912942 .3808727 1.29 0.197 -.2562486 1.238837 Black (non-Jewish) | .7431044 .490954 1.51 0.130 -.220496 1.706705 East Asian (non-Jewish) | -.3764567 .3149442 -1.20 0.232 -.9946009 .2416876 White (non-Jewish) | -.0310818 .2672894 -0.12 0.907 -.5556934 .4935298 other race (non-Jewish) | .2725305 .3485559 0.78 0.434 -.4115838 .9566448 | gensex | Heterosexual woman | .520322 .2411695 2.16 0.031 .0469761 .9936679 LGBTQ | -.3459064 .3378293 -1.02 0.306 -1.008967 .3171545 | _cons | -1.60733 .251956 -6.38 0.000 -2.101847 -1.112814 ------------------------------------------------------------------------------------------ Note: 1 stratum omitted because it contains no subpopulation members. Climate change (running logit on estimation sample) note: 6.racejew != 0 predicts failure perfectly 6.racejew dropped and 72 obs not used Survey: Logistic regression Number of strata = 1 Number of obs = 794

89

Number of PSUs = 794 Population size = 2,920.1452 Subpop. no. obs = 794 Subpop. size = 2,920.1452 Design df = 793 F( 10, 784) = 5.41 Prob > F = 0.0000 ------------------------------------------------------------------------------------------ | Linearized discomfclm_b18 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------------+---------------------------------------------------------------- polissfosfl3part | agree | -.9349929 .5811754 -1.61 0.108 -2.075817 .2058312 DK | -.5643014 .5994103 -0.94 0.347 -1.74092 .6123169 | poliscale3 | Moderate | .2690041 .7605384 0.35 0.724 -1.223902 1.761911 Conservative | 1.523489 .499207 3.05 0.002 .5435652 2.503412 | racejew | Hispanic (non-Jewish) | .0535467 .9345345 0.06 0.954 -1.780907 1.888001 Black (non-Jewish) | .9810834 .8285184 1.18 0.237 -.6452651 2.607432 East Asian (non-Jewish) | .4291224 .6724545 0.64 0.524 -.8908788 1.749124 White (non-Jewish) | .0999298 .6073026 0.16 0.869 -1.092181 1.29204 other race (non-Jewish) | 0 (empty) | gensex | Heterosexual woman | -.4718096 .526934 -0.90 0.371 -1.50616 .5625407 LGBTQ | -.5981405 .7415973 -0.81 0.420 -2.053866 .8575853 | _cons | -3.427054 .6907557 -4.96 0.000 -4.78298 -2.071128 ------------------------------------------------------------------------------------------ Note: 1 stratum omitted because it contains no subpopulation members. The Israeli-Palestinian conflict (running logit on estimation sample) Survey: Logistic regression Number of strata = 1 Number of obs = 860 Number of PSUs = 860 Population size = 3,170.2487 Subpop. no. obs = 860 Subpop. size = 3,170.2487 Design df = 859 F( 11, 849) = 3.88 Prob > F = 0.0000 ------------------------------------------------------------------------------------------ | Linearized discomfisr_b18 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------------+---------------------------------------------------------------- polissisr3part | disagree | -.8624441 .2751247 -3.13 0.002 -1.402439 -.3224488 DK | -1.316359 .3272448 -4.02 0.000 -1.958652 -.6740659 | poliscale3 | Moderate | .0498217 .2300092 0.22 0.829 -.4016242 .5012676 Conservative | -.0279957 .2813248 -0.10 0.921 -.5801603 .5241689 | racejew | Hispanic (non-Jewish) | -.856935 .3715387 -2.31 0.021 -1.586165 -.127705 Black (non-Jewish) | -.6633927 .4272563 -1.55 0.121 -1.501981 .1751958 East Asian (non-Jewish) | -1.250102 .2766769 -4.52 0.000 -1.793144 -.70706 White (non-Jewish) | -.1523853 .1924569 -0.79 0.429 -.5301261 .2253555 other race (non-Jewish) | -.3730319 .2909672 -1.28 0.200 -.9441219 .198058 |

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gensex | Heterosexual woman | .1048063 .1865811 0.56 0.574 -.261402 .4710146 LGBTQ | .3037221 .2083834 1.46 0.145 -.1052781 .7127223 | _cons | -.303949 .3047282 -1.00 0.319 -.9020481 .2941501 ------------------------------------------------------------------------------------------ Note: 1 stratum omitted because it contains no subpopulation members. Immigration (running logit on estimation sample) Survey: Logistic regression Number of strata = 1 Number of obs = 862 Number of PSUs = 862 Population size = 3,176.87 Subpop. no. obs = 862 Subpop. size = 3,176.87 Design df = 861 F( 11, 851) = 8.55 Prob > F = 0.0000 ------------------------------------------------------------------------------------------ | Linearized discomfimm_b18 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------------+---------------------------------------------------------------- polisssanct_b183part | agree | -.9950933 .2983339 -3.34 0.001 -1.58064 -.4095464 DK | -1.866624 .6909632 -2.70 0.007 -3.222794 -.510455 | poliscale3 | Moderate | 1.070411 .3534974 3.03 0.003 .376593 1.764228 Conservative | 1.768028 .3262179 5.42 0.000 1.127753 2.408304 | racejew | Hispanic (non-Jewish) | .8593587 .4327152 1.99 0.047 .0100585 1.708659 Black (non-Jewish) | -.35694 .7038604 -0.51 0.612 -1.738423 1.024543 East Asian (non-Jewish) | -.2428938 .397323 -0.61 0.541 -1.022729 .5369413 White (non-Jewish) | -.0765717 .3208309 -0.24 0.811 -.7062739 .5531304 other race (non-Jewish) | .1323759 .488441 0.27 0.786 -.8262985 1.09105 | gensex | Heterosexual woman | -.197561 .2840227 -0.70 0.487 -.7550189 .3598969 LGBTQ | -.3654672 .4351834 -0.84 0.401 -1.219612 .4886772 | _cons | -2.088301 .3561565 -5.86 0.000 -2.787337 -1.389264 ------------------------------------------------------------------------------------------ Note: 1 stratum omitted because it contains no subpopulation members. Guns in America (running logit on estimation sample) Survey: Logistic regression Number of strata = 1 Number of obs = 868 Number of PSUs = 868 Population size = 3,201.6206 Subpop. no. obs = 868 Subpop. size = 3,201.6206 Design df = 867 F( 11, 857) = 7.60 Prob > F = 0.0000 ------------------------------------------------------------------------------------------ | Linearized discomfguns_b18 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------------+---------------------------------------------------------------- polissguns_b183part |

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disagree | -1.898039 .3514615 -5.40 0.000 -2.587854 -1.208224 DK | -.8287764 .8510429 -0.97 0.330 -2.499122 .8415688 | poliscale3 | Moderate | .405037 .2961381 1.37 0.172 -.1761944 .9862683 Conservative | 1.700438 .3205192 5.31 0.000 1.071354 2.329523 | racejew | Hispanic (non-Jewish) | .5988673 .4642003 1.29 0.197 -.3122204 1.509955 Black (non-Jewish) | .8121531 .4846247 1.68 0.094 -.1390217 1.763328 East Asian (non-Jewish) | -.4897966 .3696194 -1.33 0.185 -1.21525 .2356569 White (non-Jewish) | .4072784 .2828703 1.44 0.150 -.1479122 .9624689 other race (non-Jewish) | -.111119 .4057361 -0.27 0.784 -.9074588 .6852209 | gensex | Heterosexual woman | -.0729318 .2469103 -0.30 0.768 -.5575435 .41168 LGBTQ | -.3852033 .3483064 -1.11 0.269 -1.068826 .298419 | _cons | -.9600108 .381159 -2.52 0.012 -1.708113 -.2119086 ------------------------------------------------------------------------------------------ Note: 1 stratum omitted because it contains no subpopulation members. Sexual assault (running logit on estimation sample) Survey: Logistic regression Number of strata = 1 Number of obs = 856 Number of PSUs = 856 Population size = 3,151.2401 Subpop. no. obs = 856 Subpop. size = 3,151.2401 Design df = 855 F( 11, 845) = 6.11 Prob > F = 0.0000 ------------------------------------------------------------------------------------------ | Linearized discomfasslt_b18 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------------+---------------------------------------------------------------- polissassault_b183part | agree | -.9527953 .2466833 -3.86 0.000 -1.436971 -.4686195 DK | -1.997969 .4767889 -4.19 0.000 -2.933783 -1.062155 | poliscale3 | Moderate | 1.045648 .2648268 3.95 0.000 .525861 1.565434 Conservative | .486383 .3524343 1.38 0.168 -.2053547 1.178121 | racejew | Hispanic (non-Jewish) | 1.159306 .3862034 3.00 0.003 .4012884 1.917324 Black (non-Jewish) | .8534467 .4347336 1.96 0.050 .0001766 1.706717 East Asian (non-Jewish) | -.2911846 .3183387 -0.91 0.361 -.9160015 .3336322 White (non-Jewish) | .042964 .3069725 0.14 0.889 -.559544 .645472 other race (non-Jewish) | -.1692242 .4713982 -0.36 0.720 -1.094457 .7560091 | gensex | Heterosexual woman | -.1841963 .2488565 -0.74 0.459 -.6726375 .3042449 LGBTQ | -.1333733 .3389929 -0.39 0.694 -.7987291 .5319825 | _cons | -1.982829 .3032529 -6.54 0.000 -2.578036 -1.387621 ------------------------------------------------------------------------------------------ Note: 1 stratum omitted because it contains no subpopulation members.

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Table C37: Percent experiencing social discomfort discussion contentious political issues, by political ideology: 2018. Weighted proportions with 95% confidence intervals. Race Relations in America (running tabulate on estimation sample) Number of strata = 1 Number of obs = 885 Number of PSUs = 885 Population size = 3,264.4999 Subpop. no. obs = 885 Subpop. size = 3,264.4999 Design df = 884 ---------------------------------------------------------------------- RECODE of | discussra | ce_b18 | (At | Brandeis, | how | comfortab | le are | you | discussin | RECODE of poliscale (COMB Political identification) g race | Liberal Moderate Conserva Total ----------+----------------------------------------------------------- 0 | .9083 .8667 .6841 .8809 | [.8857,.9269] [.8097,.9085] [.584,.7697] [.8599,.8992] | 1 | .0917 .1333 .3159 .1191 | [.0731,.1143] [.0915,.1903] [.2303,.416] [.1008,.1401] | Total | 1 1 1 1 | ---------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(2) = 34.6593 Design-based F(2.00, 1767.16)= 20.8125 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. Climate change (running tabulate on estimation sample) Number of strata = 1 Number of obs = 885 Number of PSUs = 885 Population size = 3,265.0763 Subpop. no. obs = 885 Subpop. size = 3,265.0763 Design df = 884 ---------------------------------------------------------------------- RECODE of | discusscl | m_b18 (At | Brandeis, | how |

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comfortab | le are | you | discussin | RECODE of poliscale (COMB Political identification) g climat | Liberal Moderate Conserva Total ----------+----------------------------------------------------------- 0 | .9854 .9758 .9176 .9776 | [.9735,.9919] [.9222,.9927] [.8495,.9565] [.966,.9853] | 1 | .0146 .0242 .0824 .0224 | [.0081,.0265] [.0073,.0778] [.0435,.1505] [.0147,.034] | Total | 1 1 1 1 | ---------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(2) = 15.0111 Design-based F(1.90, 1676.95)= 7.2602 P = 0.0009 Note: 1 stratum omitted because it contains no subpopulation members. The Israeli-Palestinian conflict (running tabulate on estimation sample) Number of strata = 1 Number of obs = 882 Number of PSUs = 882 Population size = 3,254.4894 Subpop. no. obs = 882 Subpop. size = 3,254.4894 Design df = 881 ---------------------------------------------------------------------- RECODE of | discussis | r_b18 (At | Brandeis, | how | comfortab | le are | you | discussin | RECODE of poliscale (COMB Political identification) g the Is | Liberal Moderate Conserva Total ----------+----------------------------------------------------------- 0 | .8009 .8293 .8269 .808 | [.773,.8261] [.7663,.8779] [.7399,.8891] [.7842,.8298] | 1 | .1991 .1707 .1731 .192 | [.1739,.227] [.1221,.2337] [.1109,.2601] [.1702,.2158] | Total | 1 1 1 1 | ---------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson:

94

Uncorrected chi2(2) = 0.8342 Design-based F(2.00, 1761.02)= 0.5118 P = 0.5994 Note: 1 stratum omitted because it contains no subpopulation members. Immigration (running tabulate on estimation sample) Number of strata = 1 Number of obs = 884 Number of PSUs = 884 Population size = 3,261.3447 Subpop. no. obs = 884 Subpop. size = 3,261.3447 Design df = 883 ---------------------------------------------------------------------- RECODE of | discussim | m_b18 (At | Brandeis, | how | comfortab | le are | you | discussin | RECODE of poliscale (COMB Political identification) g immigr | Liberal Moderate Conserva Total ----------+----------------------------------------------------------- 0 | .9594 .8821 .7577 .928 | [.9426,.9714] [.8239,.9229] [.6651,.8313] [.9107,.9422] | 1 | .0406 .1179 .2423 .072 | [.0286,.0574] [.0771,.1761] [.1687,.3349] [.0578,.0893] | Total | 1 1 1 1 | ---------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(2) = 49.2434 Design-based F(2.00, 1762.93)= 28.9629 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. Guns in America (running tabulate on estimation sample) Number of strata = 1 Number of obs = 886 Number of PSUs = 886 Population size = 3,267.8899 Subpop. no. obs = 886 Subpop. size = 3,267.8899 Design df = 885 ---------------------------------------------------------------------- RECODE of | discussgu | ns_b18 | (At |

95

Brandeis, | how | comfortab | le are | you | discussin | RECODE of poliscale (COMB Political identification) g guns | Liberal Moderate Conserva Total ----------+----------------------------------------------------------- 0 | .9394 .9046 .6735 .9094 | [.9216,.9533] [.8553,.9382] [.5744,.7592] [.8914,.9246] | 1 | .0606 .0954 .3265 .0906 | [.0467,.0784] [.0618,.1447] [.2408,.4256] [.0754,.1086] | Total | 1 1 1 1 | ---------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(2) = 61.4711 Design-based F(2.00, 1767.35)= 39.6976 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members. Sexual assault (running tabulate on estimation sample) Number of strata = 1 Number of obs = 881 Number of PSUs = 881 Population size = 3,248.7228 Subpop. no. obs = 881 Subpop. size = 3,248.7228 Design df = 880 ---------------------------------------------------------------------- RECODE of | discussas | slt_b18 | (At | Brandeis, | how | comfortab | le are | you | discussin | RECODE of poliscale (COMB Political identification) g sexu | Liberal Moderate Conserva Total ----------+----------------------------------------------------------- 0 | .9296 .8208 .8763 .9063 | [.9102,.9451] [.7575,.8705] [.7982,.927] [.8878,.9221] | 1 | .0704 .1792 .1237 .0937 | [.0549,.0898] [.1295,.2425] [.073,.2018] [.0779,.1122] | Total | 1 1 1 1 | ---------------------------------------------------------------------- Key: column proportion

96

[95% confidence interval for column proportion] Pearson: Uncorrected chi2(2) = 17.8948 Design-based F(2.00, 1757.80)= 11.3101 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members.

Table C38: “In the past 4 weeks how many days have you felt that emotional or mental difficulties have hurt your academic performance?” by gender and sexual orientation: 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 905 Number of PSUs = 905 Population size = 3,346.6614 Subpop. no. obs = 905 Subpop. size = 3,346.6614 Design df = 904 -------------------------------------------------------------------------------------- In the past month, how | often have | emotional/mental issues | COMB Gender+sex hurt you academically? | Heterose Heterose LGBTQ Total --------------------------+----------------------------------------------------------- 1. None | .4262 .3096 .1773 .3209 | [.3751,.4789] [.2715,.3505] [.135,.2294] [.294,.3489] | 2. 1-2 days | .3051 .3411 .2661 .3128 | [.2587,.3557] [.3011,.3835] [.2167,.3222] [.2862,.3407] | 3. 3-5 days | .1244 .2074 .2887 .1966 | [.0953,.1609] [.174,.2453] [.2371,.3465] [.1746,.2207] | 4. 6 or more days | .1443 .1419 .2679 .1697 | [.111,.1856] [.1147,.1743] [.218,.3245] [.149,.1926] | Total | 1 1 1 1 | -------------------------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(6) = 56.4111 Design-based F(5.98, 5406.17)= 11.8955 P = 0.0000 Note: 1 stratum omitted because it contains no subpopulation members.

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Table C39: Agree that “Brandeis students often feel lonely:” 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 895 Number of PSUs = 895 Population size = 3,307.6267 Design df = 894 -------------------------------------------------------------- Agree/Disagree: Brandeis | students often feel | lonely | column lb ub --------------------------+----------------------------------- 1. Strongly disagree | .0232 .0153 .035 2. Disagree | .1309 .1123 .152 3. Somewhat disagree | .1889 .1663 .2137 4. Somewhat agree | .3259 .2991 .3538 5. Agree | .202 .1795 .2265 6. Strongly agree | .1292 .1106 .1504 | Total | 1 -------------------------------------------------------------- Key: column = column proportion lb = lower 95% confidence bound for column proportion ub = upper 95% confidence bound for column proportion

Table C40: Agree that “If I needed to seek professional help for my mental or emotional health, I would know where to go on the Brandeis campus:” 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 1 Number of obs = 924 Number of PSUs = 924 Population size = 3,422.5899 Design df = 923 -------------------------------------------------------------- If needed help for mental | or emotional health, | would know where to go on | campus. | proportion lb ub --------------------------+----------------------------------- 1. Strongly disagree | .0541 .0422 .0692 2. Disagree | .0791 .065 .096 3. Somewhat disagree | .0911 .0759 .1089 4. Somewhat agree | .2738 .2488 .3004 5. Agree | .3028 .277 .3299 6. Strongly agree | .1991 .1769 .2233 | Total | 1 -------------------------------------------------------------- Key: proportion = cell proportion lb = lower 95% confidence bound for cell proportion ub = upper 95% confidence bound for cell proportion

98

Table C41: “At Brandeis… To what extent do you feel like you belong?” by race/ethnicity and Jewish status: 2016 v. 2018. Weighted proportions with 95% confidence intervals. Hispanic, not Jewish (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,932 Number of PSUs = 1,932 Population size = 7,105.4359 Subpop. no. obs = 112 Subpop. size = 396.224604 Design df = 1,930 ----------------------------------------------------------------------- | RECODE of surveyyear COMB brandeisblong | 2016 2018 Total --------------------------+-------------------------------------------- 1. Not at all | .1757 .1569 .1653 | [.1035,.2823] [.0903,.2585] [.1131,.2351] | 2. A little | .1788 .2208 .202 | [.1055,.2866] [.1432,.3245] [.1451,.2741] | 3. Somewhat | .306 .4881 .4066 | [.2081,.4252] [.3813,.596] [.331,.4869] | 4. Very much | .3396 .1342 .2261 | [.2382,.4582] [.0752,.2282] [.1664,.2996] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(3) = 133.2149 Design-based F(3.00, 5788.39)= 3.4044 P = 0.0169 Black, not Jewish (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,928 Number of PSUs = 1,928 Population size = 7,091.2646 Subpop. no. obs = 93 Subpop. size = 329.544521 Design df = 1,926 ----------------------------------------------------------------------- | RECODE of surveyyear COMB brandeisblong | 2016 2018 Total --------------------------+-------------------------------------------- 1. Not at all | .2456 .1069 .178 | [.1577,.3615] [.0508,.2112] [.1213,.2537] | 2. A little | .2906 .5551 .4195 | [.1948,.4096] [.4247,.6784] [.3337,.5105] | 3. Somewhat | .3639 .2833 .3246

99

| [.2588,.4838] [.1846,.4083] [.2492,.4104] | 4. Very much | .0998 .0546 .0778 | [.0481,.1958] [.0207,.1366] [.0434,.1356] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(3) = 154.6871 Design-based F(2.99, 5751.59)= 3.5578 P = 0.0138 East Asian, not Jewish (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,914 Number of PSUs = 1,914 Population size = 7,009.6707 Subpop. no. obs = 378 Subpop. size = 1,626.7812 Design df = 1,912 ----------------------------------------------------------------------- | RECODE of surveyyear COMB brandeisblong | 2016 2018 Total --------------------------+-------------------------------------------- 1. Not at all | .0471 .062 .0544 | [.0276,.0792] [.0386,.0981] [.0382,.0769] | 2. A little | .2194 .1995 .2096 | [.1735,.2734] [.1513,.2583] [.1753,.2485] | 3. Somewhat | .4676 .5574 .5119 | [.4072,.5291] [.491,.6218] [.4669,.5568] | 4. Very much | .2659 .1811 .2241 | [.2155,.3233] [.1365,.2363] [.1892,.2632] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(3) = 25.7501 Design-based F(2.99, 5711.49)= 2.2246 P = 0.0835 White, not Jewish (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,930 Number of PSUs = 1,930 Population size = 7,096.9171 Subpop. no. obs = 421 Subpop. size = 1,454.4739 Design df = 1,928

100

----------------------------------------------------------------------- | RECODE of surveyyear COMB brandeisblong | 2016 2018 Total --------------------------+-------------------------------------------- 1. Not at all | .086 .1257 .106 | [.0587,.1243] [.0916,.17] [.0832,.1342] | 2. A little | .1858 .1991 .1925 | [.145,.2348] [.1562,.2502] [.162,.227] | 3. Somewhat | .2865 .3495 .3183 | [.2367,.3421] [.2964,.4066] [.2812,.3577] | 4. Very much | .4418 .3258 .3833 | [.385,.5002] [.2741,.3822] [.3443,.4239] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(3) = 30.5529 Design-based F(3.00, 5783.94)= 3.0062 P = 0.0291 Jewish, any race (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,901 Number of PSUs = 1,901 Population size = 7,002.9372 Subpop. no. obs = 678 Subpop. size = 2,351.1725 Design df = 1,899 ----------------------------------------------------------------------- | RECODE of surveyyear COMB brandeisblong | 2016 2018 Total --------------------------+-------------------------------------------- 1. Not at all | .0339 .0598 .0462 | [.021,.0541] [.0405,.0873] [.0342,.0621] | 2. A little | .11 .1217 .1155 | [.0851,.1409] [.0934,.1571] [.0962,.1382] | 3. Somewhat | .2879 .3387 .312 | [.2487,.3305] [.2951,.3851] [.2825,.3432] | 4. Very much | .5683 .4799 .5263 | [.5235,.612] [.4327,.5274] [.4937,.5586] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion]

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Pearson: Uncorrected chi2(3) = 18.4363 Design-based F(3.00, 5696.66)= 2.9064 P = 0.0334

Table C42: “At Brandeis… To what extent do you feel like you belong?:” 2016 v. 2018. Weighted proportions with 95% confidence intervals. (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,838 Number of PSUs = 1,838 Population size = 6,745.8542 Design df = 1,836 ----------------------------------------------------------------------- | RECODE of surveyyear COMB brandeisblong | 2016 2018 Total --------------------------+-------------------------------------------- 1. Not at all | .0688 .0959 .0821 | [.0562,.0838] [.0798,.1149] [.0717,.0939] | 2. A little | .1807 .1895 .185 | [.1601,.2032] [.1672,.214] [.1697,.2014] | 3. Somewhat | .3368 .4071 .3715 | [.3107,.364] [.3784,.4364] [.352,.3914] | 4. Very much | .4137 .3075 .3614 | [.3867,.4414] [.2816,.3346] [.3425,.3807] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(3) = 24.7786 Design-based F(3.00, 5503.72)= 10.5916 P = 0.0000

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Table C43: “At Brandeis… To what extent do you feel like you belong?” by political ideology: 2016 v. 2018. Weighted proportions with 95% confidence intervals. Liberal in 2016 v. 2018 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,901 Number of PSUs = 1,901 Population size = 6,998.9542 Subpop. no. obs = 1,296 Subpop. size = 4,629.193 Design df = 1,899 ----------------------------------------------------------------------- | RECODE of surveyyear COMB brandeisblong | 2016 2018 Total --------------------------+-------------------------------------------- 1. Not at all | .0697 .0866 .0785 | [.0544,.0888] [.0692,.1079] [.0665,.0925] | 2. A little | .1663 .1858 .1765 | [.1425,.1932] [.1606,.2139] [.1588,.1957] | 3. Somewhat | .3366 .3755 .357 | [.3051,.3697] [.3436,.4084] [.3344,.3802] | 4. Very much | .4273 .3522 .388 | [.3941,.4612] [.3214,.3843] [.3652,.4113] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(3) = 11.6441 Design-based F(3.00, 5695.54)= 3.4463 P = 0.0160 Moderate in 2016 v. 2018 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,918 Number of PSUs = 1,918 Population size = 7,042.0232 Subpop. no. obs = 344 Subpop. size = 1,383.1416 Design df = 1,916 ----------------------------------------------------------------------- | RECODE of surveyyear COMB brandeisblong | 2016 2018 Total --------------------------+-------------------------------------------- 1. Not at all | .0637 .09 .0745 | [.0416,.0963] [.0558,.142] [.0542,.1016] | 2. A little | .2096 .2245 .2157 | [.1646,.2629] [.1682,.293] [.1795,.2569] | 3. Somewhat | .3475 .4981 .4092

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| [.2915,.408] [.4232,.573] [.3635,.4567] | 4. Very much | .3792 .1874 .3006 | [.3235,.4383] [.1366,.2516] [.2603,.3442] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(3) = 87.2938 Design-based F(2.99, 5729.84)= 6.7597 P = 0.0002 Conservative in 2016 v. 2018 (running tabulate on estimation sample) Number of strata = 2 Number of obs = 1,931 Number of PSUs = 1,931 Population size = 7,098.756 Subpop. no. obs = 168 Subpop. size = 615.672774 Design df = 1,929 ----------------------------------------------------------------------- | RECODE of surveyyear COMB brandeisblong | 2016 2018 Total --------------------------+-------------------------------------------- 1. Not at all | .0628 .1872 .1219 | [.0321,.1192] [.1215,.2772] [.0847,.1724] | 2. A little | .2196 .1325 .1782 | [.1559,.2999] [.0807,.2101] [.1344,.2325] | 3. Somewhat | .3065 .4774 .3876 | [.2325,.3921] [.3787,.5779] [.3246,.4547] | 4. Very much | .4111 .2029 .3123 | [.3296,.4978] [.1371,.2896] [.2562,.3744] | Total | 1 1 1 | ----------------------------------------------------------------------- Key: column proportion [95% confidence interval for column proportion] Pearson: Uncorrected chi2(3) = 184.7827 Design-based F(3.00, 5779.55)= 7.4083 P = 0.0001

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Table C44: Ordered logistic regression models on belonging, controlling for zip code median income quintile, political ideology, racial/ethnic identity and Jewish status, and gender/sexual orientation. (running ologit on estimation sample) Survey: Ordered logistic regression Number of strata = 1 Number of obs = 859 Number of PSUs = 859 Population size = 3,140.9764 Subpop. no. obs = 859 Subpop. size = 3,140.9764 Design df = 858 F( 13, 846) = 8.11 Prob > F = 0.0000 ------------------------------------------------------------------------------------------ | Linearized brandeisblong | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------------+---------------------------------------------------------------- median5 | 2nd quintile (or les..) | -.2465419 .2601708 -0.95 0.344 -.7571877 .2641039 4th quintile | -.0401584 .1506448 -0.27 0.790 -.3358339 .2555172 Highest quintile | .2518207 .1742153 1.45 0.149 -.0901174 .5937588 International student | -.1574955 .2005032 -0.79 0.432 -.5510296 .2360386 | poliscale3 | Moderate | -.083381 .1557248 -0.54 0.592 -.3890272 .2222652 Conservative | -.3745314 .1930713 -1.94 0.053 -.7534788 .0044161 | racejew | Hispanic (non-Jewish) | -1.088448 .2878762 -3.78 0.000 -1.653472 -.523424 Black (non-Jewish) | -1.996471 .2538022 -7.87 0.000 -2.494617 -1.498325 East Asian (non-Jewish) | -.8582609 .1659972 -5.17 0.000 -1.184069 -.5324528 White (non-Jewish) | -.585327 .1649145 -3.55 0.000 -.9090101 -.261644 other race (non-Jewish) | -1.063037 .2357093 -4.51 0.000 -1.525672 -.6004029 | gensex | Heterosexual woman | .0573307 .1245755 0.46 0.645 -.1871778 .3018391 LGBTQ | -.2257466 .190893 -1.18 0.237 -.6004186 .1489254 -------------------------+---------------------------------------------------------------- /cut1 | -3.483923 .2040277 -3.884375 -3.083471 /cut2 | -1.872117 .170111 -2.206 -1.538235 /cut3 | -.2610186 .1610604 -.5771372 .0551 ------------------------------------------------------------------------------------------ Note: 1 stratum omitted because it contains no subpopulation members. (running ologit on estimation sample) Survey: Ordered logistic regression Number of strata = 1 Number of obs = 817 Number of PSUs = 817 Population size = 3,023.1868 Subpop. no. obs = 817 Subpop. size = 3,023.1868 Design df = 816 F( 13, 804) = 10.84 Prob > F = 0.0000 ------------------------------------------------------------------------------------------ | Linearized brandeisblong | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------------+---------------------------------------------------------------- median5 | 2nd quintile (or les..) | -.1076731 .2629446 -0.41 0.682 -.6238007 .4084545 4th quintile | .6149646 .1611853 3.82 0.000 .2985778 .9313514 Highest quintile | .4385558 .188415 2.33 0.020 .0687206 .808391

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International student | .2166656 .2374571 0.91 0.362 -.2494331 .6827643 | poliscale3 | Moderate | -.4741436 .1626047 -2.92 0.004 -.7933163 -.1549709 Conservative | -.606075 .2245038 -2.70 0.007 -1.046748 -.165402 | racejew | Hispanic (non-Jewish) | -1.187507 .2470547 -4.81 0.000 -1.672445 -.7025696 Black (non-Jewish) | -1.646063 .2308444 -7.13 0.000 -2.099182 -1.192945 East Asian (non-Jewish) | -.8122791 .2138774 -3.80 0.000 -1.232094 -.3924645 White (non-Jewish) | -.6523096 .1778454 -3.67 0.000 -1.001398 -.3032213 other race (non-Jewish) | -1.131348 .2669623 -4.24 0.000 -1.655362 -.6073348 | gensex | Heterosexual woman | .339242 .1421294 2.39 0.017 .0602597 .6182243 LGBTQ | -.087796 .1723201 -0.51 0.611 -.426039 .250447 -------------------------+---------------------------------------------------------------- /cut1 | -2.73378 .2123869 -3.150669 -2.316891 /cut2 | -1.319843 .1875084 -1.687899 -.9517879 /cut3 | .5840695 .1827329 .2253877 .9427513 ------------------------------------------------------------------------------------------ Note: 1 stratum omitted because it contains no subpopulation members.

Brandeis Study 2018Thank you for participating in this research on Brandeis University undergraduate students. The studyfocuses on identity, opinions, and experiences on campus.

Completing this survey will take about 15 minutes and when you are done you will receive a $10Amazon.com gift card in appreciation of your time. Your responses are very valuable.

This survey is conducted by Professor Leonard Saxe of the Steinhardt Social Research Institute (SSRI) atBrandeis Univeristy.

You must be at least 18 years old and an undergraduate student at Brandeis to participate in thesurvey.

Your individual responses will be kept strictly confidential and only aggregate data will be reported. No oneoutside the research team will have access to the data. Your participation in the survey is entirely voluntary.No question is mandatory.

If you have any questions or concerns regarding the survey, please email campusstudy@brandeis.edu(mailto:campusstudy@brandeis.edu) or call 781-736-3821. You may also contact the Brandeis InstitutionalReview Board at irb@brandeis.edu (mailto:irb@brandeis.edu) or call 781-736-8133. This committee worksto safeguard the interests of individuals who participate in research sponsored by Brandeis University.

To begin the survey click on the "Next" button below.There are 111 questions in this survey

Screener[]Are you currently an UNDERGRADUATE student atBrandeis University? *Choose one of the following answers

Please choose only one of the following:

No

Yes

Yes, and I am CURRENTLY studying abroad

About You[]We'll start by asking you a few questions aboutyourself.[]Are you currently in your...?Please choose only one of the following:

First year (Freshman)

Second year (Sophomore)

Appendix D: Survey Instrument 106

Third year (Junior)

Fourth year (Senior)

Other

[]Have you decided on your major(s)?Please choose only one of the following:

No

Yes. Please specify your major(s):

[]Where are you currently living?Please choose only one of the following:

On campus

With parents or relatives

In other off-campus housing

[]Are you an international student?Please choose only one of the following:

No

Yes

[]What country are you from?Please write your answer here:

[]When you applied to Brandeis, were you living in theUnited States?Please choose only one of the following:

No

Yes

[]What was your zip code?Please write your answer here:

[]Where were you living?Please write your answer here:

Hot Button[]In your opinion, what are the three most pressingissues at Brandeis right now?Please write your answer(s) here:

107

1.

2.

3.

Academics[]We'll continue with some questions about yourexperience as a student at Brandeis.[]Since coming to Brandeis, have you...?Please choose all that apply:

Joined a fraternity or sorority

Held a full-time or part-time job

Played club, intramural, or recreational sports

Studied abroad

Played NCAA athletics

None of the above

[]Since coming to Brandeis, have you taken anycourse(s) specifically focusing on...?Please choose all that apply:

African or African-American studies

Asian studies

Jewish or Israeli studies

Latin American studies

Islamic or Middle Eastern studies

None of the above

[]Please rate your satisfaction with Brandeis in each ofthe following areas:Please choose the appropriate response for each item:

Very

Satisfied Satisfied Neutral DissatisfiedVery

DissatisfiedNot

applicableCourses inyour majorfieldAmount ofcontact withfacultyClass size

108

Very

Satisfied Satisfied Neutral DissatisfiedVery

DissatisfiedNot

applicableRelevanceofcourseworkto everydaylifeRelevanceofcourseworkto careerplansOverallquality ofinstruction

[]Since coming to Brandeis, how many of your CLOSEFRIENDS have been...?Please choose the appropriate response for each item:

None Some

Abouthalf Most All

Don'tknow

AsianBlack/African AmericanLatino/aWhite/CaucasianInternational studentsLGBTQChristianJewishMuslim

About you 2[]We'll continue by asking you a few more questionsabout your background.[]In what year were you born?Please choose only one of the following:

2000

1999

1998

1997

1996

1995

1994

1993

1992

1991

109

1990

1989

1988 or earlier

[]Are you...?Please choose only one of the following:

Male

Female

Other

[]Do you consider yourself...?Please choose all that apply:

Heterosexual/straight

Gay or lesbian

Bisexual

Queer

Other. Please specify::

[]We would like to ask about your parent(s) or theadult(s) who raised you on the next page. What is thebest way to refer to them?Please choose the appropriate response for each item:

Mother Father None OtherParent 1Parent 2

[]{if(((parents_prnt1.NAOK == "mthr" andparents_prnt2.NAOK == "") or (parents_prnt1.NAOK== "none" and parents_prnt2.NAOK == "mthr") or(parents_prnt2.NAOK == "none" andparents_prnt1.NAOK == "mthr") or(parents_prnt2.NAOK == "mthr" andparents_prnt1.NAOK == "")), 'onlymom',if(((parents_prnt1.NAOK == "none" andparents_prnt2.NAOK == "fthr") or(parents_prnt2.NAOK == "none" andparents_prnt1.NAOK == "fthr") or(parents_prnt1.NAOK == "fthr" andparents_prnt2.NAOK == "") or (parents_prnt2.NAOK== "fthr" and parents_prnt1.NAOK == "")), 'onlydad',if((parents_prnt1.NAOK == "mthr" andparents_prnt2.NAOK == "fthr"), 'momdad',if((parents_prnt1.NAOK == "fthr" andparents_prnt2.NAOK == "mthr"), 'dadmom',if((parents_prnt1.NAOK == "mthr" and

110

parents_prnt2.NAOK == "mthr"), 'twomoms',if((parents_prnt1.NAOK == "fthr" andparents_prnt2.NAOK == "fthr"), 'twodads',if((parents_prnt1.NAOK == "mthr" andparents_prnt2.NAOK == "othr"), 'momguard', if((parents_prnt1.NAOK == "othr" andparents_prnt2.NAOK == "mthr"), 'guardmom',if((parents_prnt1.NAOK == "fthr" andparents_prnt2.NAOK == "othr"), 'dadguard',if((parents_prnt1.NAOK == "othr" andparents_prnt2.NAOK == "fthr"), 'guarddad',if(((parents_prnt1.NAOK=="othr" andparents_prnt2.NAOK=="") or(parents_prnt1.NAOK=="" andparents_prnt2.NAOK=="othr") or(parents_prnt1.NAOK=="none" andparents_prnt2.NAOK=="othr") or(parents_prnt1.NAOK=="othr" andparents_prnt2.NAOK=="none")), 'onlyguard',if((parents_prnt1.NAOK=="othr" andparents_prnt2.NAOK=="othr"), 'twoguards','none'))))))))))))}[]Who is this other person who raised you? We will referto him/her as your guardian.Please write your answer here:

[]Who are the people who raised you? We will refer tothem as your guardians.Please write your answer here:

Growing Up[]Now we'll ask you a few questions about your{if(famtype.NAOK=="onlymom" orfamtype.NAOK=="onlydad" orfamtype.NAOK=="onlyguard", 'parent and upbringing','parents and upbringing')}.[]When you were growing up, what languages werespoken in your home?Please choose all that apply:

Chinese

111

English

French

Russian

Spanish

Other:

[]{if(famtype.NAOK=="onlymom" orfamtype.NAOK=="momdad" orfamtype.NAOK=="twomoms" orfamtype.NAOK=="momguard", 'What is the highestlevel of formal education obtained by your MOTHER?',if(famtype.NAOK=="onlydad" orfamtype.NAOK=="dadmom" orfamtype.NAOK=="twodads" orfamtype.NAOK=="dadguard", 'What is the highest levelof formal education obtained by your FATHER?', 'Whatis the highest level of formal education obtained by yourGUARDIAN?'))}Please choose only one of the following:

Junior high/Middle school or less

Some high school

High school graduate

Postsecondary school other than college (AA, trade certificate, etc.)

Some college

College degree (BA, BS, etc.)

Some graduate school

Graduate degree (MA, MBA, MSW, MD, PhD, etc.)

[]{if(famtype.NAOK == "onlymom" or famtype.NAOK== "momdad" or famtype.NAOK == "twomoms" orfamtype.NAOK == "momguard", 'Does your MOTHERconsider herself...?', if(famtype.NAOK == "onlydad" orfamtype.NAOK == "dadmom" or famtype.NAOK =="twodads" or famtype.NAOK == "dadguard", 'Does yourFATHER consider himself...?', 'Does your GUARDIANconsider him/herself...?'))}Please choose only one of the following:

Christian (e.g., Catholic, Baptist, Methodist)

Jewish

Muslim

Buddhist

Hindu

112

Unitarian Universalist

Atheist

Agnostic

Nothing in particular

Something else. Please explain:

[]{if(famtype.NAOK=="onlymom" orfamtype.NAOK=="momdad" orfamtype.NAOK=="twomoms" orfamtype.NAOK=="momguard", 'Thinking about yourMOTHER'S PARENTS, were either of them Jewish?',if(famtype.NAOK=="onlydad" orfamtype.NAOK=="dadmom" orfamtype.NAOK=="twodads" orfamtype.NAOK=="dadguard", 'Thinking about yourFATHER'S PARENTS, were either of them Jewish?','Thinking about your GUARDIAN'S PARENTS, wereeither of them Jewish?'))}Please choose only one of the following:

Mother only

Father only

Both mother and father

Neither mother nor father

It's complicated. Please explain:

[]{if(famtype.NAOK=="momdad" orfamtype.NAOK=="guarddad", 'What is the highest levelof formal education obtained by your FATHER?',if(famtype.NAOK=="dadmom" orfamtype.NAOK=="guardmom", 'What is the highestlevel of formal education obtained by your MOTHER?',if(famtype.NAOK=="momguard" orfamtype.NAOK=="dadguard", 'What is the highest levelof formal education obtained by your GUARDIAN?',if(famtype.NAOK=="twomoms", 'What is the highestlevel of formal education obtained by your OTHERMOTHER?', if(famtype.NAOK=="twodads", 'What is thehighest level of formal education obtained by yourOTHER FATHER?', 'What is the highest level of formaleducation obtained by your OTHER GUARDIAN?')))))}Please choose only one of the following:

Junior high/Middle school or less

Some high school

113

High school graduate

Postsecondary school other than college (AA, trade certificate, etc.)

Some college

College degree (BA, BS, etc.)

Some graduate school

Graduate degree (MA, MBA, MSW, MD, PhD, etc.)

[]{if(famtype.NAOK == "momdad" or famtype.NAOK== "guarddad", 'Does your FATHER considerhimself...?', if(famtype.NAOK == "dadmom" orfamtype.NAOK == "guardmom", 'Does your MOTHERconsider herself...?', if(famtype.NAOK=="momguard" orfamtype.NAOK=="dadguard", 'Does your GUARDIANconsider him/herself...?', if(famtype.NAOK =="twomoms", 'Does your OTHER MOTHER considerherself...', if(famtype.NAOK == "twodads", 'Does yourOTHER FATHER consider himself...?', 'Does your OTHERGUARDIAN consider him/herself...?')))))}Please choose only one of the following:

Christian (e.g., Catholic, Baptist, Methodist)

Jewish

Muslim

Buddhist

Hindu

Unitarian Universalist

Atheist

Agnostic

Nothing in particular

Something else. Please explain:

[]{if(famtype.NAOK=="momdad" orfamtype.NAOK=="guarddad", 'Thinking about yourFATHER'S PARENTS, were either of them Jewish?',if(famtype.NAOK=="dadmom" orfamtype.NAOK=="guardmom", 'Thinking about yourMOTHER'S PARENTS, were either of them Jewish?',if(famtype.NAOK=="momguard" orfamtype.NAOK=="dadguard", 'Thinking about yourGUARDIAN'S PARENTS, were either of them Jewish?',if(famtype.NAOK=="twomoms", 'Thinking about yourOTHER MOTHER'S PARENTS, were either of themJewish?', if(famtype.NAOK=="twodads", 'Thinkingabout your OTHER FATHER'S PARENTS, were either of

114

them Jewish?', 'Thinking about your OTHERGUARDIAN'S PARENTS, were either of themJewish?')))))}Please choose only one of the following:

Mother only

Father only

Both mother and father

Neither mother nor father

It's complicated. Please explain:

[]Thinking about when you were a child, in whatreligion were you primarily raised, if any?Please choose only one of the following:

Christian - click for more options

Jewish

Muslim

Buddhist

Hindu

Unitarian Universalist

Atheist

Agnostic

Nothing in particular

More than one religion

Something else. Please specify:

[]In what religions were you raised?Please choose all that apply:

Christian - click for more options

Jewish

Muslim

Buddhist

Hindu

Unitarian Universalist

Atheist

Agnostic

Something else. Please specify:

[]Were you raised...?Please choose only one of the following:

Baptist

115

Christian Reformed

Church of Christ, or Disciples of Christ (Christian Church)

Church of God

Church of Jesus Christ of Latter Day Saints (LDS/Mormon)

Congregational or United Church of Christ

Episcopalian or Anglican

Greek or Russian Orthodox

Holiness (Nazarenes, Wesleyan Church)

Jehovah’s Witness

Lutheran

Methodist

Pentecostal (Assemblies of God, Four-Square Gospel)

Presbyterian

Roman Catholic

Seventh-day Adventist

Nondenominational or Independent Church

None in particular

Other Christian. Please specify:

[]ASIDE from religion, were you raised Jewish orpartially Jewish?Please choose only one of the following:

Yes

Yes, partially Jewish

No

[]{if((relraised.NAOK=="2" orrelraisedoth_jew.NAOK=="Y" orraisedjewaside.NAOK=="1" orraisedjewaside.NAOK=="2"), 1, 0)}[]Thinking about your Jewish upbringing were youraised...Please choose only one of the following:

Reform

Reconstructionist

Conservative

Orthodox

Secular/Culturally Jewish

Just Jewish

Other. Please specify:

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Religion and Ethnicity[]The next questions are about your ethnicity andcurrent religion.[]Do you describe yourself as...?Please choose all that apply:

American Indian/Alaskan Native

Native Hawaiian/Pacific Islander

Arab

Black/African American

East Asian (e.g., Chinese, Japanese, Korean, Taiwanese)

South Asian (e.g., Indian, Pakistani, Nepalese, Sri Lankan)

Southeast Asian (e.g., Cambodian, Vietnamese, Hmong, Filipino)

Other Asian

White/Caucasian

Other:

[]Are you...?Please choose all that apply:

Mexican American/Chicano/a

Puerto Rican

Other Latino/a

None of the above

[]What is your CURRENT religion, if any?Please choose only one of the following:

Christian - click for more options

Jewish

Muslim

Buddhist

Hindu

Unitarian Universalist

Atheist

Agnostic

Nothing in particular

More than one religion

Something else. Please specify:

[]With what religions do you identify?Please choose all that apply:

Christian - click for more options

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Jewish

Muslim

Buddhist

Hindu

Unitarian Universalist

Atheist

Agnostic

Something else. Please specify:

[]Are you...?Please choose only one of the following:

Baptist

Christian Reformed

Church of Christ, or Disciples of Christ (Christian Church)

Church of God

Church of Jesus Christ of Latter Day Saints (LDS/Mormon)

Congregational or United Church of Christ

Episcopalian or Anglican

Greek or Russian Orthodox

Holiness (Nazarenes, Wesleyan Church)

Jehovah’s Witness

Lutheran

Methodist

Pentecostal (Assemblies of God, Four-Square Gospel)

Presbyterian

Roman Catholic

Seventh-day Adventist

Nondenominational or Independent Church

Christian - nothing in particular

Other Christian. Please specify:

[]Do you CURRENTLY consider yourself to be a/n...?Please choose all that apply:

Born again Christian

Charismatic

Evangelical

Fundamentalist

None of the above

[]Are you...?Please choose only one of the following:

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Shi’a

Sunni

Other

[]ASIDE from religion, do you CURRENTLY consideryourself Jewish or partially Jewish?Please choose only one of the following:

Yes

Yes, partially Jewish

No

[]{if((relnow.NAOK == "2" or relother_jew.NAOK =="Y" or jewaside.NAOK == "1" or jewaside.NAOK =="2"), 1, 0)}[]Do you consider yourself to be...?Please choose only one of the following:

Reform

Reconstructionist

Conservative

Orthodox

Secular/culturally Jewish

Just Jewish

Other. Please specify:

[]So that we understand correctly, could you pleaseexplain in what way you consider yourself to be Jewish?Please write your answer here:

Religion 2[]How important is your religion in your life today?Please choose only one of the following:

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Not at all

A little

Somewhat

Very much

[]How important is spirituality in your life today?Please choose only one of the following:

Not at all

A little

Somewhat

Very much

[]How important is being Jewish in your life today?Please choose only one of the following:

Not at all

A little

Somewhat

Very much

[]To you personally, to what extent is being Jewish amatter of...?Please choose the appropriate response for each item:

Not at all A little Somewhat Very muchCultureEthnicityReligionHeritageCommunityBelonging to a peopleCaring about Israel

Religious Activities[]In the PAST 12 MONTHS, did you do anything tocelebrate/observe any of the following holidays?Please choose all that apply:

Christmas

Easter

Kwanzaa

Hanukkah

Passover

Purim

Rosh Hashanah

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Shabbat

Yom Kippur

Eid al-Adha

Ramadan

Diwali

Holi

Vesak

None of the above

[]In the PAST 12 MONTHS, how often, if at all, did youattend religious services?Please choose only one of the following:

Never

Rarely

A few times a year

1-2 times a month

Once a week

More than once a week

[]Since coming to Brandeis, how involved have youbeen in...?Please choose the appropriate response for each item:

Not at

all A little SomewhatVerymuch

Campus Christian groups/organizations (e.g.,Catholic Student Organization)

Campus Jewish groups/organizations (e.g.,Chabad, Hillel at Brandeis)

Campus Muslim groups/organizations (e.g.,Brandeis Muslim Students Association)

Interfaith groups/organizations (e.g.,Common Ground)

Other religious groups/organizations

[]What was that other religious group/organization?Please write your answer here:

[]Since coming to Brandeis, have you had aconversation with a Brandeis chaplain/clergy person ofyour religion?Please choose only one of the following:

Never

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Once

More than once

There is no chaplain/clergy person for my religion here

[]Since coming to Brandeis, have you had aconversation with a...?Please choose the appropriate response for each item:

Never Once More than onceHillel staff personHillel rabbiChabad rabbi

[]Do you think campus Jewish life at Brandeis meetsyour needs? Why or why not?Please write your answer here:

Israel[]The next few questions are about your thoughts onIsrael.[]To what extent do you feel a connection to Israel?Please choose only one of the following:

Not at all

A little

Somewhat

Very much

[]To what extent do you agree or disagree with thefollowing statements?When talking with my peers at Brandeis...Please choose the appropriate response for each item:

Stronglydisagree Disagree

Somewhatdisagree

Somewhatagree Agree

Stronglyagree

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Stronglydisagree Disagree

Somewhatdisagree

Somewhatagree Agree

Stronglyagree

I feel confidentthat Iunderstand thecurrent situationin Israel

I prefer not toexpress myopinions aboutIsrael aroundpeople I don'tknow

I encounterhostility when Iexpress myopinions aboutIsrael

I enjoy havingdiscussionsabout Israel

[]As part of a permanent settlement with thePalestinians, should Israel be willing to...?Please choose only one of the following:

Dismantle all of the Jewish settlements in the West Bank

Dismantle some of the Jewish settlements in the West Bank

Dismantle none of the Jewish settlements in the West Bank

Don't know

[]Over the course of your life, how many times haveyou been to Israel?Please choose only one of the following:

Never

Once

Twice

Three times or more

I have lived there

[]{if(isrnum.NAOK=="4", 'In addition to living in Israel,h', 'H')}ave you been to Israel...?Please choose all that apply:

On a Birthright Israel trip

On another organized peer trip during college

On an organized peer trip during high school

For a semester or year abroad program

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For an alternative break service program

On a trip with your family

On a work or business trip

On a vacation

Other. Please describe::

[]Have you ever applied to go on a Birthright Israeltrip?Please choose only one of the following:

No

Yes, I'm applying/applied for Summer 2018

Yes, I applied in the past

[]What is the MAIN reason you did not go on aBirthright Israel trip in previous seasons?Please choose only one of the following:

I was not offered a trip

There was no trip available on the dates I wanted to travel

I couldn't go on the same trip as family/friends

I had work/school obligations

I had an internship

I had personal/family obligations

I couldn't afford other trip expenses and/or the deposit

I had safety concerns

My parents thought it wasn't safe to go

Other

[]What is the MAIN reason you have not applied to goon a Birthright Israel trip{if(briapply.NAOK=="1", ' untilnow?', '?')}Please choose only one of the following:

I was not yet 18

I {if(briapply.NAOK=="1", 'didn't', 'don't')} think I am eligible for the trip

I had conflicting work/school obligations

I had conflicting personal/family obligations

I {if(briapply.NAOK=="1", 'couldn't', 'can't')} afford other trip expenses and/or the deposit

I {if(briapply.NAOK=="1", 'was', 'am')} concerned the trip is politically one-sided

I {if(briapply.NAOK=="1", 'felt', 'feel')} Israel is not safe

I {if(briapply.NAOK=="1", 'wanted', 'want')} to be older when I go

I {if(briapply.NAOK=="1", 'didn't', 'don't')} want to travel to Israel

I {if(briapply.NAOK=="1", 'didn't', 'don't')} want to go on a Birthright trip

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I {if(briapply.NAOK=="1", 'hadn't', 'haven't')} heard of Birthright

Another reason:

[]Are you planning to apply {if(briapply.NAOK=="2",'again', '')} to go on a Birthright Israel trip?Please choose only one of the following:

Yes, before I graduate

Yes, after I graduate

No

Not sure

Discrimination[]Since coming to Brandeis, have you PERSONALLYexperienced any of the following on campus BECAUSEof your RACIAL/ETHNIC IDENTITY, your RELIGION,your GENDER or SEXUAL ORIENTATION, or for ANYOTHER REASON?

NoRace/

ethnicity Religion GenderSexual

orientation

Forany

otherreason

Insult or harassment onsocial media

Insult or harassment inperson

Physical attack

Having your views orconcerns dismissed orignored by an instructor

Being asked in class tooffer the perspective ofyour identity group

Hostile reactions fromstudents to yourcontribution to classroomdiscussion

Being excluded fromparticipating in a groupproject

Being the object of jokesor teasing

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NoRace/

ethnicity Religion GenderSexual

orientation

Forany

otherreason

Having your concernsdismissed or ignored bycampus administration

Feeling unwelcome in acampus organization

[]Please describe the incident(s).Please write your answer here:

[]What were the reasons (other than race/ethnicity,religion, gender, or sexual orientation) for theseexperiences?Please write your answer here:

Antisemitism[]Now we will ask you some questions about yourexperiences at Brandeis.[]Since coming to Brandeis, have you heard any of thefollowing on campus by students, professors, orBrandeis administration?

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No

Bystudents

Byprofessors

By Brandeisadministration

Hostile remarks towardIsraelHostile remarks towardJews

[]In your opinion, would you consider a person to beantisemitic if they...?Please choose the appropriate response for each item:

No,

definitelynot

No,probably

notYes,

probablyYes,

definitelyCriticize IsraelDo not consider Jews living in America tobe AmericanOppose Israel's existence as a Jewish stateMinimize the specific intent of the targetingof Jews during the Holocaust

[]Since coming to Brandeis, how often, if at all, haveyou PERSONALLY heard anyone on campus suggestthat...?Please choose the appropriate response for each item:

Never Occasionally Frequently

Allthetime

Jews have too much power in AmericaJews exploit Holocaust victimhoodThe Holocaust is a myth or has beenexaggeratedIsraelis behave "like Nazis" towards thePalestiniansJews are not capable of integrating intoAmerican societyJews are greedyJewish women are JAPSJudaism is a form of white supremacyThe interests of Jews in America are verydifferent from the interests of otherAmericansJews are more loyal to Israel than theyare to America

[]Since coming to Brandeis, have you ever PERSONALLYseen graffiti, posters, or fliers that included Naziimagery (e.g., swastikas) or antisemitic slogans oncampus?Please choose only one of the following:

Never

Occasionally

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Frequently

All the time

[]How often, if at all, do you feel that people atBrandeis accuse or blame you for anything done by theIsraeli government BECAUSE you are Jewish?Please choose only one of the following:

Never

Occasionally

Frequently

All the time

Mental Health[]In the past 4 weeks, how many days have you feltthat emotional or mental difficulties have hurt youracademic performance?Please choose only one of the following:

None

1-2 days

3-5 days

6 or more days

[]How much do you agree or disagree with the followingstatement?If I needed to seek professional help for my mental oremotional health, I would know where to go on theBrandeis campus.Please choose only one of the following:

Strongly disagree

Disagree

Somewhat disagree

Somewhat agree

Agree

Strongly agree

[]If you were experiencing serious emotional distress,whom would you talk to about this?Please choose all that apply:

Professional clinician (e.g., psychologist, counselor, or psychiatrist)

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Roommate

Friend (who is not a roommate)

Significant other

Family member

Religious counselor or other religious contact

Support group

No one

Other non-clinical source. Please specify::

More about Brandeis[]To what extent do you agree or disagree with thefollowing statements about Brandeis?Please choose the appropriate response for each item:

Stronglydisagree Disagree

Somewhatdisagree

Somewhatagree Agree

Stronglyagree

There is ahostileenvironmenttoward people ofcolor

The concerns ofminority groupsare takenseriously

Ethnic groupsstick with theirown

There is ahostileenvironmenttoward Israel

There is ahostileenvironmenttoward Jews

There is ahostileenvironmenttoward Muslims

Sexualharassment andviolence arenormalized andwidespread

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Stronglydisagree Disagree

Somewhatdisagree

Somewhatagree Agree

Stronglyagree

There is ahostileenvironmenttoward women

Brandeis iscommitted tothe safety, well-being, andeducationalsuccess of itsimmigrantstudents

There is a lot ofpolitical activism

[]About what percent of current Brandeisundergraduates do you think identify as liberal,moderate, and conservative?Please write your answer(s) here:

Liberal

Moderate

Conservative

Opinions[]Now we'll ask you about your views.[]To what extent do you agree or disagree with thefollowing statements?Please choose the appropriate response for each item:

Stronglydisagree Disagree

Somewhatdisagree

Somewhatagree Agree

Stronglyagree

Don'tknow

Universitiesshouldmandateracial andculturalsensitivitytraining forstudents,staff, andfaculty

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Stronglydisagree Disagree

Somewhatdisagree

Somewhatagree Agree

Stronglyagree

Don'tknow

Affirmativeactionprograms areneeded toincrease thenumber ofminoritystudents oncampuses

UniversitiesshouldboycottIsraeliacademicinstitutionsand scholars

Universitiesshouldreduce theamount ofevidencevictims arerequired toproduceduring sexualassaultinvestigations

Universities'endowmentfunds shouldnot beinvested inthe fossil fuelindustry

Universitiesshoulddeclaresanctuarycampusstatus toprotect theirimmigrantstudents,scholars, andstaff

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Stronglydisagree Disagree

Somewhatdisagree

Somewhatagree Agree

Stronglyagree

Don'tknow

Studentsshould beallowed tocarry legalfirearms oncampuses

Politics[]In terms of political views, people often classifythemselves as "liberal" or "conservative." Where wouldyou place yourself on this scale?Please choose only one of the following:

Extremely liberal

Liberal

Slightly liberal

Moderate

Slightly conservative

Conservative

Extremely conservative

[]To what extent do you agree or disagree with thefollowing statement?I prefer not to express my opinions about politicsaround people I don't know.Please choose only one of the following:

Strongly disagree

Disagree

Somewhat disagree

Somewhat agree

Agree

Strongly agree

[]Since Fall 2017, have you done any of the following?Please choose all that apply:

Participated in a rally or demonstration

Signed a petition

Called, written, or visited an elected official

Boycotted a company or brand

132

Donated money to a political organization or candidate

Attended a meeting of any level of government

Submitted a letter to the editor or opinion piece to a media publication

Posted/shared political content on social media

None of the above

[]We'd like to get your feelings toward elected officialsin the U.S. and other groups of people currently in thenews using a "feeling thermometer."A rating of zero degrees means you feel as cold andnegative as possible. A rating of 100 degrees meansyou feel as warm and positive as possible. A rating of50 degrees means you don't feel particularly positive ornegative.Please write your answer(s) here:

Democrats in Congress

Republicans in Congress

President Donald Trump

Canadians

Israelis

Palestinians

Russians

Mexicans

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[]On December 6, 2017, President Donald Trumpformally recognized Jerusalem as the capital of Israeland set in motion a plan to move the U.S. Embassyfrom Tel Aviv to Jerusalem. Do you...?Please choose only one of the following:

Agree with this decision

Disagree with this decision

Don't know

More About Brandeis 2[]We'll now ask a few more questions about yourexperiences at Brandeis.[]To what extent do you agree or disagree with thefollowing statements about Brandeis?Please choose the appropriate response for each item:

Stronglydisagree Disagree

Somewhatdisagree

Somewhatagree Agree

Stronglyagree

There is a lot ofhateful/offensivespeech oncampus

Unpopularopinions can beexpressed freely

Socio-economicstatus plays abig role incampus sociallife

Brandeis facultyare committedto nurturing theirstudents

Brandeisstudents oftenfeel lonely

[]At Brandeis, overall, to what extent do you feel...?Please choose the appropriate response for each item:

Not at all A little Somewhat Very muchComfortableSafeThat you belong

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[]At Brandeis, when talking with your peers, howcomfortable do you feel expressing your thoughtsabout...?Please choose the appropriate response for each item:

Not at all A little Somewhat Very muchRace relations in AmericaThe Israeli-PalestinianconflictSexual assault andharassmentClimate changeImmigration policyThe actions of the UnitedStates presidentialadministrationGuns in America

[]What is the primary reason you don't feel completelycomfortable discussing RACE RELATIONS in Americawith your peers?Please choose only one of the following:

I don't know much about this topic

I have no opinion

I have a minority opinion

The discourse about this topic feels hostile to me

I don't feel like I have a part in this conversation

Other reason. Please explain:

[]What is the primary reason you don't feel completelycomfortable discussing the ISRAELI-PALESTINIANCONFLICT with your peers?Please choose only one of the following:

I don't know much about this topic

I have no opinion

I have a minority opinion

The discourse about this topic feels hostile to me

I don't feel like I have a part in this conversation

Other reason. Please explain:

[]What is the primary reason you don't feel completelycomfortable discussing SEXUAL ASSAULT ANDHARASSMENT with your peers?Please choose only one of the following:

I don't know much about this topic

I have no opinion

135

I have a minority opinion

The discourse about this topic feels hostile to me

I don't feel like I have a part in this conversation

Other reason. Please explain:

[]What is the primary reason you don't feel completelycomfortable discussing CLIMATE CHANGE with yourpeers?Please choose only one of the following:

I don't know much about this topic

I have no opinion

I have a minority opinion

The discourse about this topic feels hostile to me

I don't feel like I have a part in this conversation

Other reason. Please explain:

[]What is the primary reason you don't feel completelycomfortable discussing IMMIGRATION POLICY with yourpeers?Please choose only one of the following:

I don't know much about this topic

I have no opinion

I have a minority opinion

The discourse about this topic feels hostile to me

I don't feel like I have a part in this conversation

Other reason. Please explain:

[]What is the primary reason you don't feel completelycomfortable discussing THE ACTIONS OF THE UNITEDSTATES PRESIDENTIAL ADMINISTRATION with yourpeers?Please choose only one of the following:

I don't know much about this topic

I have no opinion

I have a minority opinion

The discourse about this topic feels hostile to me

I don't feel like I have a part in this conversation

Other reason. Please explain:

[]What is the primary reason you don't feel completelycomfortable discussing GUNS IN AMERICA with yourpeers?

136

Please choose only one of the following:

I don't know much about this topic

I have no opinion

I have a minority opinion

The discourse about this topic feels hostile to me

I don't feel like I have a part in this conversation

Other reason. Please explain:

FordHall2015[]On November 19, 2015, a group of Brandeis studentspresented the university administration with a series ofdemands to address racial injustice at Brandeis. Overthe following two weeks, students occupied theadministration building in an attempt to press theuniversity to meet their demands. Students called thisevent #FordHall2015.[]Were you a student at Brandeis that semester?Please choose only one of the following:

No

Yes

[]Since coming to Brandeis, have you heard about thisincident?Please choose only one of the following:

No

Yes

[]Since the beginning of the current semester, howoften have you discussed these events with your peers?Please choose only one of the following:

Never

Rarely

Occasionally

Often

All the time

[]Over the past two years, would you say that racerelations at Brandeis have...?Please choose only one of the following:

Gotten much better

137

Gotten somewhat better

Stayed the same

Gotten somewhat worse

Gotten much worse

Don't know

Brandeis Free Speech[]Suppose a person identifying as a white nationalistwanted to hold a speaking event on a college oruniversity campus. In your opinion, should this personbe...?Please choose only one of the following:

Allowed to speak

Not allowed to speak

Don't know

[]Suppose a person identifying as a white nationalistwanted to hold a speaking event at Brandeis. In youropinion, should this person be...?Please choose only one of the following:

Allowed to speak

Not allowed to speak

Don't know

Final Thoughts[]To conclude, is there anything else you would like toadd about your experiences at Brandeis?Please write your answer here:

138

Submit your survey. Thank you for completing this survey.

139