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2/17/2015 1 SAMPLING HARD-TO-REACH POPULATIONS Karen Foote Retzer February 18, 2015 www.srl.uic.edu GENERAL INFORMATION 2 Please hold questions until the end of the presentation Slides available at http://www.srl.uic.edu/SEMINARS/Spring15Seminars.htm Please raise your hand so that I can see that you can hear me
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Page 1: SAMPLING HARD-TO-REACH POPULATIONS › SEMINARS › SAMPLING › Hard-to-Reach-Spring 2015 2-slides.pdfRECAP: PROBABILITY SAMPLE 15 Each element has a known, non-zero probability of

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SAMPLING HARD-TO-REACH POPULATIONS

Karen Foote Retzer

February 18, 2015

www.srl.uic.edu

GENERAL INFORMATION

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• Please hold questions until the end of the presentation

• Slides available at http://www.srl.uic.edu/SEMINARS/Spring15Seminars.htm

• Please raise your hand so that I can see that you can hear me

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OUTLINE

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• Introduction

• Sampling Hard-to-Reach Populations using Probability Sampling

• Non-Probability Sample Designs

HARD-TO-SURVEY POPULATIONS

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• Hard to sample

• Hard to identify

• Hard to find

• Hard to persuade

• Hard to interview

(Tourangeau, 2014)

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EXAMPLES

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� Homeless

� Prostitutes

� Migrants

� Illegal Immigrants

� Rare racial/ethnic groups

� Visitors to a museum

� Travelers through airports

� Gay men

� Smokers

PROBABILITY VS. NON-PROBABILITY

SAMPLING

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Probability

• Generalize to the population from which sample is drawn

• Unbiased results

• Known, non-zero probability of selection

Non-Probability

• Exploratory research

• Convenience

• Probability of selection unknown

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TRADITIONAL PROBABILITY SAMPLES

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• Screen all cases to locate eligible respondents

• Disproportionate Stratified Sampling

• Dual Frames

PROBABILITY SAMPLE: SCREEN ALL

CASES TO FIND ELIGIBLE RESPONDENTS

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Target population: adults who smoke cigarettes.

Sample and screen individuals in randomly selected households.

� Area probability (face-to-face)

• Address-based sample (mail)

Time consuming & expensive.

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PROBABILITY SAMPLE: DISPROPORTIONATE

STRATIFIED SAMPLING

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Target Population: Households with income $200,000 or higher

Use census data to find blockgroups with households having higher incomes.

Sample households from all blockgroups, but oversample those with higher incomes.

Post-stratification weights.

PROBABILITY SAMPLE:

DUAL/MULTIPLE FRAMES

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Target population: households with pets

Use two frames:

Households

Lists of people from veterinarian offices

Must determine how to weight the final dataset.

Dual frames becoming more common with

changes in telephone technology.

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DUAL FRAME: PHONE SURVEY

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Contacting a nationwide

sample by phone

PROBABILITY SAMPLES: DUAL LANDLINE

AND CELL FRAMES

• Increase of general population that is cell only

• Cell phone usage differences within the population

• Race and ethnicity

• Age

• Income

• Region of country

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PROBABILITY SAMPLE: DUAL LANDLINE

AND CELL FRAMES

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Contacting national sample using

cell phone and landline phones

(dual frame design)

PROBABILITY SAMPLE: DUAL LANDLINE

AND CELL FRAMES

• Difficult to target smaller geographies by cell phone

• Cell-phone-only individuals who have a cell number from a state, but who do not live in the state.

• Cell-phone-only individuals who live in state who do not have cell number from that state

• Smaller geographies even more difficult to target.

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RECAP: PROBABILITY SAMPLE

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Each element has a known, non-zero probability of selection

Results can be generalized to the population from which the sample was drawn.

• Screening

• Disproportionate Sampling

• Dual frame

LESS TRADITIONAL

SAMPLE DESIGNS

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• Location (venue-based)

• Time location

• Respondent-driven

• Snowball

• Network/multiplicity

• Convenience

• Surnames

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LOCATION SAMPLING

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� Location sampling can take place at . . .

� Museums

� National Parks

� Shelters

� Street corners

� Two types of sampling

� Sampling visits

� Sampling visitors

TIME LOCATION SAMPLING

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An extension of location sampling where

the timing of the sample selection is also

taken into consideration.

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SNOWBALL

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� Initial sample of respondents selected

� Convenience

� Randomly

� Respondents identify others to be interviewed

RESPONDENT-DRIVEN SAMPLING

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� Initial sample of respondents selected (similar to snowball)

� Respondents become the ‘seeds’ and are given coupons to give to others in their networks who are eligible

� Maintains privacy for those recruited

� Respondents receive monetary incentive

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MULTIPLICITY SAMPLING

• Includes non-household members with whom informant is familiar, such as close relatives

• Informant must know needed information about network members

• Informant must know size of network

• Weighting

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SURNAME LISTS

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� Some populations can be identified by surname

� Hispanics

� Chinese

� Korean

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CONVENIENCE

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� Questionnaires that potential respondents can pick up at given location

� Persons who take part in studies recruited from flyers

� Hotel guests who complete questionnaires in hotels

� Respondents who are intercepted at malls, etc.

HOW TO SELECT SAMPLE DESIGN

It depends on . . .

• How common or rare your population is

• How geographically clustered/dispersed your population is

• Whether or not you want to generalize your findings

• Why the respondents are hard to reach

• Whether or not you have a list

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SELECTED BIBLIOGRAPHY

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Blumberg SJ, Luke JV. Wireless substitution: Early release of estimates from the National Health Interview Survey. July-December 2012. National Center for Health Statistics. July 2013. Available from: http://www.cdc.gov/nchs/nhis.htm.

Tourangeau, R., Edwards, B., Johnson, T., Wolter, K., & Bates, N. (Eds.). (2014). Hard-to-survey populations. Cambridge: Cambridge University Press.

Wagner, J., & Lee, S. (2015). Sampling Rare Populations. In T. Johnson (Ed.), Handbook of Health Survey Methods

(pp. 77-104). Hoboken: John Wiley & Sons, Inc.

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