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REIL School Growth Measures &
  Calculating the REIL Score
          REIL Symposium
           August 2012
REIL Score Components in 2012-13


                                                     2013-14 and Beyond
     REIL Score Components in 2012-13   Individual
                                         Growth                      Observation

                                                      40%     50%

         School
         Growth
                                                     5%
                         Observation         Team
          25%                               Growth           5%     School
                                                                    Growth

                           75%
School Growth Measures in 2012-13


 Teachers in Schools Administering        Teachers in Schools
   AIMS/SAT-10 and Galileo K-12      Administering only AIMS/SAT-10

                                        Galileo Categorical
AIMS/SAT-10                                        Growth
Value-Added
                                AIMS/SAT-10
                                Value-Added           10%
              25%
                                              15%

                             75%
                                                                      75%
AIMS/SAT-10 Value-Added
REIL Value-Added Model Measures


                   Definition of Value-Added Models


  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
AIMS/SAT-10 Value-Added Measures


            Value-Added vs. Growth vs. Proficiency


  Proficiency      How much do my students know?


  Growth           How much did my student learn this year?


                   How much did the school contribute to
  Value-Added
                   students’ growth?
AIMS/SAT-10 Value-Added Measures

                    415

                    410                              409
                                 405                                     Value-Added Gain = +4
                    405
AIMS Scale Scores




                    400                                            School Value-Added Measure =

                    395                                            Average difference between
                                                                   students’ predicted and actual
                                                                   scores
                    390

                    385

                    380
                          Student's predicted   Student's Actual
                             AIMS Score*          AIMS Score
AIMS/SAT-10 Value-Added Measures

           Criteria for Selecting Value-Added Model Covariates



    Available             Accurate                Desirable                   Predictive
 Are data on the      Are data on the           Does the variable       Is the variable predictive of
 variable available   variable consistent and   measure a factor        students' test scores after
 from state or REIL   reliable for students/    that is considered to   controlling for their prior
 Districts?           teachers/schools in all   be outside the          test scores.
                      REIL districts?           teacher’s or school’s
                                                control?
AIMS/SAT-10 Value-Added Measures
                                     Variables under Consideration
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 Infractions
Free & 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 District
Migrant status                                         No. Years enrolled in School
Foster care status                                      1st Year in School 
Homeless status                                        Tardiness
Student Age                                            Academic Interventions
Parental Involvement (e.g., parent-tchr conf)           After-school tutoring participation
Internet & 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 Factors
English Language Learner Sub-designations               Teacher leave of absence (maternity leave)
Fluent English Proficient                              Indicator that teacher is in first year
Gifted & Talented status                                Date teacher was hired by the district
Disability and/or Special Ed                           Teacher's total no. years teaching experience
Special Ed Sub-designations                             No. years teaching in REIL district
Instructional Time & Schedule                           Co-teaching arrangement
Enrolled in block-scheduled class                       Classroom Factors
Year-round schedule                                     Class Size
School on a year-round or non-traditional calendar      Ability grouped classroom
Enrolled in school with extended day schedule           Online instruction or using blended learning model
Instructional minutes (Per day/year)
Number of class sessions per week                         = Currently available for all REIL districts
AIMS/SAT-10 Value-Added Measures

                      AIMS and SAT-10 Test Scores used in Value-Added
                                        (Reading)

                                                        Prior Grade Test Scores
      Grade          Outcome 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 Math
    Notes: "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

                        Leveling the Playing Field
           1
     .5
           0
     -.5
     -1




               0   20      40           60           80   100
                           Percentage FRL

                         grp1    grp2
                         grp3    grp4
                         grp5    Lfit regression
AIMS/SAT-10 Value-Added Measures

                        Leveling the Playing Field
           1
     .5
           0
     -.5
     -1




               0   20     40           60            80   100
                          Percentage FRL

                        grp1    grp2
                        grp3    grp4
                        grp5    Lfit regression
AIMS/SAT-10 Value-Added Measures

       Converting AIMS/SAT-10 to REIL Component Scores (1 to 5)

      Component
                              School Value-Added Estimates
        Score
         School   The school’s average growth is significantly above
          5
         Growth   expectations for schools with similar student
                  populations
                  The school’s average growth is above expectations for
          4
                  schools with similar student populations
                  The school’s average growth is not distinguishable from
          3       the state average for schools with similar student
                  populations

                  The school’s average growth is below expectations for
          2
                  schools with similar student populations

                  The school’s average growth is significantly below
          1       expectations for schools with similar student
                  populations
Galileo Categorical Growth Measures

           Galileo Categorical Growth Summary
Galileo Categorical Growth Measures

         Converting Galileo Categorical Growth Measures to REIL
                       Component Scores (1 to 5)

      Component
                                     Galileo CGA Criteria
        Score

                  Significant increase in the proportion of students achieving
          5
                  standards mastery (Expected growth exceeded)

                  Increase in the proportion of students achieving standards
          4
                  mastery (Expected growth exceeded)

                  No significant change in standards mastery (Expected
          3
                  growth maintained)

                  Decrease in the proportion of students achieving standards
          2
                  mastery (Expected growth not maintained)

                  Significant decrease in the proportion of students achieving
          1
                  standards mastery (Expected growth not maintained)
Galileo Categorical Growth Measures

     Grades and subjects covered by Galileo Pre/Post Tests



                 K   1st   2nd   3rd   4th   5th   6th   7th   8th


    Reading                                            

    Math                                                

    Science                                                 

    Writing                                                 
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
The REIL Scorecard



                       Component Score                     REIL Points Total Possible
        Measure                               Weight
                            (1-5)                            Earned     REIL Points



 Total LOI Points          ______        X      50     =    _______         250

 LOI 3+ Rate               ______        X      25     =    _______         125

 AIMS/SAT-10 School
                           ______        X      15     =    _______          75
 Value-Added Measure

 Galileo Categorical
                           ______        X      10     =    _______          50
 Growth Measure


                                             REIL Score: _______            500
The REIL Score Continuum



           REIL Score        Performance
             Range           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
The REIL Score Continuum


                                                                    Distribution of REIL
                                                                    Scores in 2011-12




             Ineffective               Developing                                             Highly             Highly
                                                               Effective 1                                     Effective 2
             (100-199)                     (200-299)                                        Effective 1
                                                                   (300-349)                                   (425-500)
                                                                                             (375-424)


100    125      150      175   200   225      250      275   300      325      350    375       400      425   450   475     500

                                                                               Effective 2
                                                                               (350-374)

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REIL School Growth Measures and the Calculation of the REIL Score

  • 1. REIL School Growth Measures & Calculating the REIL Score REIL Symposium August 2012
  • 2. REIL Score Components in 2012-13 2013-14 and Beyond REIL Score Components in 2012-13 Individual Growth Observation 40% 50% School Growth 5% Observation Team 25% Growth 5% School Growth 75%
  • 3. School Growth Measures in 2012-13 Teachers in Schools Administering Teachers in Schools AIMS/SAT-10 and Galileo K-12 Administering only AIMS/SAT-10 Galileo Categorical AIMS/SAT-10 Growth Value-Added AIMS/SAT-10 Value-Added 10% 25% 15% 75% 75%
  • 4. AIMS/SAT-10 Value-Added REIL Value-Added Model Measures Definition of Value-Added Models 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
  • 5. AIMS/SAT-10 Value-Added Measures Value-Added vs. Growth vs. Proficiency Proficiency How much do my students know? Growth How much did my student learn this year? How much did the school contribute to Value-Added students’ growth?
  • 6. AIMS/SAT-10 Value-Added Measures 415 410 409 405 Value-Added Gain = +4 405 AIMS Scale Scores 400 School Value-Added Measure = 395 Average difference between students’ predicted and actual scores 390 385 380 Student's predicted Student's Actual AIMS Score* AIMS Score
  • 7. AIMS/SAT-10 Value-Added Measures Criteria for Selecting Value-Added Model Covariates Available Accurate Desirable Predictive Are data on the Are data on the Does the variable Is the variable predictive of variable available variable consistent and measure a factor students' test scores after from state or REIL reliable for students/ that is considered to controlling for their prior Districts? teachers/schools in all be outside the test scores. REIL districts? teacher’s or school’s control?
  • 8. AIMS/SAT-10 Value-Added Measures Variables under Consideration 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 Infractions Free & 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 District Migrant status  No. Years enrolled in School Foster care status 1st Year in School  Homeless status  Tardiness Student Age  Academic Interventions Parental Involvement (e.g., parent-tchr conf) After-school tutoring participation Internet & 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 Factors English Language Learner Sub-designations Teacher leave of absence (maternity leave) Fluent English Proficient  Indicator that teacher is in first year Gifted & Talented status Date teacher was hired by the district Disability and/or Special Ed  Teacher's total no. years teaching experience Special Ed Sub-designations No. years teaching in REIL district Instructional Time & Schedule Co-teaching arrangement Enrolled in block-scheduled class Classroom Factors Year-round schedule Class Size School on a year-round or non-traditional calendar Ability grouped classroom Enrolled in school with extended day schedule Online instruction or using blended learning model Instructional minutes (Per day/year) Number of class sessions per week  = Currently available for all REIL districts
  • 9. AIMS/SAT-10 Value-Added Measures AIMS and SAT-10 Test Scores used in Value-Added (Reading) Prior Grade Test Scores Grade Outcome 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 Math Notes: "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
  • 10. AIMS/SAT-10 Value-Added Measures Leveling the Playing Field 1 .5 0 -.5 -1 0 20 40 60 80 100 Percentage FRL grp1 grp2 grp3 grp4 grp5 Lfit regression
  • 11. AIMS/SAT-10 Value-Added Measures Leveling the Playing Field 1 .5 0 -.5 -1 0 20 40 60 80 100 Percentage FRL grp1 grp2 grp3 grp4 grp5 Lfit regression
  • 12. AIMS/SAT-10 Value-Added Measures Converting AIMS/SAT-10 to REIL Component Scores (1 to 5) Component School Value-Added Estimates Score School The school’s average growth is significantly above 5 Growth expectations for schools with similar student populations The school’s average growth is above expectations for 4 schools with similar student populations The school’s average growth is not distinguishable from 3 the state average for schools with similar student populations The school’s average growth is below expectations for 2 schools with similar student populations The school’s average growth is significantly below 1 expectations for schools with similar student populations
  • 13. Galileo Categorical Growth Measures Galileo Categorical Growth Summary
  • 14. Galileo Categorical Growth Measures Converting Galileo Categorical Growth Measures to REIL Component Scores (1 to 5) Component Galileo CGA Criteria Score Significant increase in the proportion of students achieving 5 standards mastery (Expected growth exceeded) Increase in the proportion of students achieving standards 4 mastery (Expected growth exceeded) No significant change in standards mastery (Expected 3 growth maintained) Decrease in the proportion of students achieving standards 2 mastery (Expected growth not maintained) Significant decrease in the proportion of students achieving 1 standards mastery (Expected growth not maintained)
  • 15. Galileo Categorical Growth Measures Grades and subjects covered by Galileo Pre/Post Tests K 1st 2nd 3rd 4th 5th 6th 7th 8th Reading          Math         Science     Writing    
  • 16. 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
  • 17. The REIL Scorecard Component Score REIL Points Total Possible Measure Weight (1-5) Earned REIL Points Total LOI Points ______ X 50 = _______ 250 LOI 3+ Rate ______ X 25 = _______ 125 AIMS/SAT-10 School ______ X 15 = _______ 75 Value-Added Measure Galileo Categorical ______ X 10 = _______ 50 Growth Measure REIL Score: _______ 500
  • 18. The REIL Score Continuum REIL Score Performance Range 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
  • 19. The REIL Score Continuum Distribution of REIL Scores in 2011-12 Ineffective Developing Highly Highly Effective 1 Effective 2 (100-199) (200-299) Effective 1 (300-349) (425-500) (375-424) 100 125 150 175 200 225 250 275 300 325 350 375 400 425 450 475 500 Effective 2 (350-374)

Notas do Editor

  1. Why 25%? (1)In 2013-14 90% of REIL score is individual; (2) 50% weight to school growth will likely have higher misclassification rates; (3) LOI results are as highly correlated with teachers’ value-added estimates as school-level VAMs; (4) A lot of schools in the REIL districts made some major staff changes last year, or at the end of last year, in part because of the LOI results – new teachers low value-added
  2. Schools’ value-added estimates are very highly correlated with schools’ student growth percentile - .90, very high