Date post: | 21-Dec-2014 |
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REIL School Growth Measures & Calculating the
REIL ScoreREIL Symposium
August 2012
75%
25%
REIL Score Components in 2012-13
REIL Score Components in 2012-13
School Growth
Observation
50%
5%
5%
40%
2013-14 and Beyond
Observation Individual Growth
School Growth
Team Growth
75%
25%
School Growth Measures in 2012-13
AIMS/SAT-10 Value-Added
75%
15%
10%
Teachers in Schools Administering AIMS/SAT-10 and
Galileo K-12
Teachers in Schools Administering only
AIMS/SAT-10
AIMS/SAT-10 Value-Added
Galileo Categorical Growth
REIL Value-Added Model
A variety of sophisticated statistical techniques that use one or more years of prior student test scores, as well as other data, to adjust for preexisting differences among students when calculating contributions to student test performance
Braun, H., Chudowsky, N.& Koenig, J. (2010). Getting Value out of Value-Added. National Academies Press. http://www.nap.edu/openbook.php?record_id=12820&page=1
Definition of Value-Added Models
AIMS/SAT-10 Value-Added Measures
Proficiency How much do my students know?
Growth How much did my student learn this year?
Value-Added How much did the school contribute to students’ growth?
AIMS/SAT-10 Value-Added Measures
Value-Added vs. Growth vs. Proficiency
Student's predicted
AIMS Score*
Student's Actual AIMS Score
380
385
390
395
400
405
410
415
405
409
AIM
S S
cale
Sco
res
AIMS/SAT-10 Value-Added Measures
Value-Added Gain = +4
School Value-Added Measure =
Average difference between students’ predicted and actual scores
Criteria for Selecting Value-Added Model Covariates
Available Accurate Desirable Predictive
Are data on the variable available from state or REIL Districts?
Are data on the variable consistent and reliable for students/ teachers/schools in all REIL districts?
Does the variable measure a factor that is considered to be outside the teacher’s or school’s control?
Is the variable predictive of students' test scores after controlling for their prior test scores.
AIMS/SAT-10 Value-Added Measures
Prior Achievement Attendance, Behavior, Mobility Prior test score in same subject as posttest Student attendance Prior test score(s) in off subject as posttest Enrolled in same school for full academic year Student Background Characteristics Student Suspensions/Disciplinary InfractionsFree & Reduced-Price Lunch Retained ("held back") in prior year Race/ethnicity (Asian, Black, Hispanic, Am. Indian) Same school in pretest and posttest years Sex No. Years enrolled in DistrictMigrant status No. Years enrolled in School Foster care status 1st Year in School Homeless status TardinessStudent Age Academic InterventionsParental Involvement (e.g., parent-tchr conf) After-school tutoring participationInternet & Computer Access at Home Summer school/ program participation Special Education/Program Instructional pull-out (e.g., small group with reading specialist)English language learner (ELL) status Teacher FactorsEnglish Language Learner Sub-designations Teacher leave of absence (maternity leave)Fluent English Proficient Indicator that teacher is in first yearGifted & Talented status Date teacher was hired by the districtDisability and/or Special Ed Teacher's total no. years teaching experienceSpecial Ed Sub-designations No. years teaching in REIL districtInstructional Time & Schedule Co-teaching arrangementEnrolled in block-scheduled class Classroom FactorsYear-round schedule Class Size School on a year-round or non-traditional calendar Ability grouped classroomEnrolled in school with extended day schedule Online instruction or using blended learning modelInstructional minutes (Per day/year) Number of class sessions per week
Variables under Consideration
= Currently available for all REIL districts
AIMS/SAT-10 Value-Added Measures
AIMS and SAT-10 Test Scores used in Value-Added (Reading)
Grade Outcome Scores Prior Grade Test Scores
Same Subject Off Subject
3 AIMS Rdg SAT-10 Rdg SAT-10 Math
4 AIMS Rdg AIMS Rdg AIMS Math
5 AIMS Rdg AIMS Rdg AIMS Math
6 AIMS Rdg AIMS Rdg AIMS Math
7 AIMS Rdg AIMS Rdg AIMS Math
8 AIMS Rdg AIMS Rdg AIMS Math
9 SAT-10 Rdg AIMS Rdg AIMS Math
10 AIMS HS Rdg SAT-10 Rdg SAT-10 MathNotes: "Outcome scores" refer to the spring test scores from current grade used to evaluate performance; "Prior Test Scores" refers to spring test scores from prior grade used to establish predicted or expected performance target in current grade
AIMS/SAT-10 Value-Added Measures
-1-.
50
.51
Sch
ool
-VA
M m
ode
l0
0 20 40 60 80 100Percentage FRL
grp1 grp2grp3 grp4grp5 Lfit regression
AIMS/SAT-10 Value-Added Measures
Leveling the Playing Field
-1-.
50
.51
Sch
ool
l-VA
M m
ode
l5
0 20 40 60 80 100Percentage FRL
grp1 grp2grp3 grp4grp5 Lfit regression
AIMS/SAT-10 Value-Added Measures
Leveling the Playing Field
AIMS/SAT-10 Value-Added Measures
School Growth
Component Score School Value-Added Estimates
5The school’s average growth is significantly above expectations for schools with similar student populations
4The school’s average growth is above expectations for schools with similar student populations
3The school’s average growth is not distinguishable from the state average for schools with similar student populations
2 The school’s average growth is below expectations for schools with similar student populations
1The school’s average growth is significantly below expectations for schools with similar student populations
Converting AIMS/SAT-10 to REIL Component Scores (1 to 5)
Galileo Categorical Growth Measures
Galileo Categorical Growth Summary
Galileo Categorical Growth Measures
Component Score Galileo CGA Criteria
5Significant increase in the proportion of students achieving standards mastery (Expected growth exceeded)
4 Increase in the proportion of students achieving standards mastery (Expected growth exceeded)
3 No significant change in standards mastery (Expected growth maintained)
2 Decrease in the proportion of students achieving standards mastery (Expected growth not maintained)
1Significant decrease in the proportion of students achieving standards mastery (Expected growth not maintained)
Converting Galileo Categorical Growth Measures to REIL Component Scores (1 to 5)
K 1st 2nd 3rd 4th 5th 6th 7th 8th
Reading
Math
Science
Writing
Galileo Categorical Growth Measures
Grades and subjects covered by Galileo Pre/Post Tests
Constructing the REIL Score
Step 1: Convert the LOI and REIL Growth
results to scores on a 1-5 scale
Step 2: Combine the LOI and REIL Growth scores from step 1 using weights
Step 3: Determine performance classifications
MeasureComponent
Score(1-5)
Weight
REIL Points Earned
Total Possible
REIL Points
Total LOI Points ______ X 50 = _______ 250
LOI 3+ Rate ______ X 25 = _______ 125
AIMS/SAT-10 School Value-Added Measure
______ X 15 = _______ 75
Galileo Categorical Growth Measure ______ X 10 = _______ 50
REIL Score: _______ 500
The REIL Scorecard
The REIL Score Continuum
REIL Score Range
Performance Classification
100 to 199 Ineffective
200 to 299 Developing
300 to 349 Effective 1
350 to 374 Effective 2
375 to 424 Highly Effective 1
425 to 500 Highly Effective 2
100 125 150 175 200 225 250 275 300 325 350 375 400 425 450 475 500
The REIL Score Continuum
Ineffective
(100-199)
Developing
(200-299) Effective 1
(300-349)
Effective 2
(350-374)
Highly
Effective 1
(375-424)
Highly Effective 2
(425-500)
Distribution of REIL Scores in 2011-12