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Creating a Comprehensive
Teacher Effectiveness System
              Christopher A. Thorn
        University of Wisconsin-Madison
 Center for Data Quality and Systems Innovation
          Value-Added Research Center
Propositions and Claims to the
           Validity Evaluation
Proposition 1: The standards clearly define learning
expectations for the subject area and grade level
Design Claims:              Evidence:
• Clarity                   • Expert reviews
• Feasibility               • Research studies validating
• Explicit progressions         progressions
Proposition 2a: The assessment instruments have
been designed to yield scores that can accurately and
fairly reflect student achievement of standards.
Design Claims:               Evidence:
• Alignment with standards   • Expert reviews of alignment
   (specs and items)         • Small scale studies
• Fair and accessible        • Sensitivity reviews
• Reliable/Replicable        • Measurement reviews of
   procedures                    design, administration, and
                                 scoring procedures
Proposition 2b: The assessment instruments have
been designed to yield scores that accurately and
fairly reflect student growth over the course of the
year
Design Claims:                  Evidence:
• Sample the range of where     • Expert review
  students may start and end    • Teacher review
  the school year
• Designed to be sensitive to
  instruction
Proposition 3: Assessment scores accurately and fairly
reflect the status of students’ knowledge and skills
relative to learning expectations
Design Claims:               Evidence:
• Psychometric analyses      • Psychometric analysis
  confirm the assessment’s   • Bias analysis
  blueprint
• Scores are sufficiently
  precise and reliable
• Scores are fair/unbiased
Proposition 4: Student growth scores accurately and
fairly measures student progress over the course of
the year
Design Claims:                    Evidence:
• Score scale reflects the full   • Psychometric modeling and
  distribution of where              fit statistics
  students may start and end      • Sensitivity/bias analysis
  the year
• Growth scores are
  sufficiently precise and
  reliable for all students
• Growth scores are
  fair/relatively free of bias
Proposition 5: Value-added scores represent teachers’
contribution to student growth
Design Claims:                    Evidence:
• Scores are instructionally      • Assumption checking
  sensitive                       • Advanced statistical
• Sores representing teacher         modeling
  contribution are sufficiently   • Research on instructional
  precise and reliable               sensitivity
• Scores representing teachers
  contributions are relatively
  free of bias
What do we see across the US?
• Student Learning Objectives
  – Austin, Texas; Charlotte- Mecklenburg, North Carolina;
    and Washington, DC
• Subject- and grade-alike measures
  – Delaware and Tennessee
• Universal pre-/post-tests
  – Hillsborough County, Florida, and Washington, DC
• Value-added composite (school/cohort)
  – Charlotte- Mecklenburg, North Carolina; Delaware;
    and Tennessee
SLOs
Teacher (overseen by administrator) selects
appropriate measure(s); assesses students at
beginning of year; sets specific objectives for
performance; and assesses students at end of
year. Administrator ultimately determines the
teacher’s success in achieving SLOs
  (Goe 2011).
Pro/Con for SLOs
• Advantages: Adaptable; permits
  specialization; and tends to be credible among
  educators.
• Disadvantages: Requires significant attention
  from administrators; difficult to create
  comparability and rigor across classrooms;
  and does not account for differences across
  teachers in the students served
  (RttT Assistance Network 2011).
Subject- and grade-alike measures
Teachers meet in grade- and/ or subject-specific
teams to consider growth measures (existing,
adapted, or new assessments; portfolios of
work; performances, and the like), then agree
on measure(s) all will use to determine
individual contributions to student growth.
District/state then reviews and approves the list
for each grade and subject. (May include SLOs,
pre-/ post-tests, or other measures.)
Subject- and grade-alike measures
• Advantages: Designed to yield comparable
  measures across classrooms/districts.
• Disadvantages: Requires significant attention
  to ensuring comparability and much dedicated
  time for teachers to work together to develop
  consistent scoring patterns
  (RttT Assistance Network 2011).
Universal pre-/post-tests
• Written pre-/post-tests developed for every
  grade and every subject.
• Advantages: Enables annual growth
  calculations for all students.
• Disadvantages: Requires extensive test
  development and analysis capacity; and may
  be difficult to link previous years of test data,
  given course variety at secondary level.
Value-added composite
             (school/ cohort)
Nontested teachers are assigned a composite
value- added score based on average test
performance of either the school as a whole or
the particular cohort of students “claimed” by
the teacher
(Goe 2011).
Value-added composite
             (school/ cohort)
• Advantages: Can contribute to collective
  efforts around student achievement.
• Disadvantages: May mask high and low
  performers and hold individual teachers
  accountable for measures over which they
  have limited influence.
A Tale of Two Cities – K-2
•   Value-Added Measures of Math and Reading
•   Assessments administered 2-4 times a year
•   Administered 1-1 by retired teachers
•   Minneapolis
    – Off the shelf public domain assessments
    – Used to study Beat the Odds Kindergarten Teachers
• Edina
    – Purchased NWEA early grade assessments
    – Used whole grade and school to study overall
      effectiveness
Build Decision Points
 Test date
                 Test       Demographic       Grade
timing and
              Properties      Controls       Retention
frequency

                             Classroom/      Aggregation
 Student      School-year
                               Teacher      Units (grades,
 Mobility       Mobility
                              Indicators   teams, schools)

                              Special
Aggregation     Multiple
                             Education     Multi-year data
 over time    components
                               detail
References
Webinar on Evaluating Teacher Quality
  http://www.aacompcenter.org/cs/aacc/view/rs/26579
A Practical Guide to Designing Comprehensive
Teacher Evaluation Systems
  http://tqsource.org/publications/practicalGuideEvalSyst
  ems.pdf
Measuring Teachers’ Contributions to Student
Learning Growth for Nontested Grades and
Subjects
  http://www.lauragoe.com/LauraGoe/MeasuringTeacher
  sContributions.pdf

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2010 ohio tif meeting creating a comprehensive teacher effectiveness system

  • 1. Creating a Comprehensive Teacher Effectiveness System Christopher A. Thorn University of Wisconsin-Madison Center for Data Quality and Systems Innovation Value-Added Research Center
  • 2.
  • 3. Propositions and Claims to the Validity Evaluation Proposition 1: The standards clearly define learning expectations for the subject area and grade level Design Claims: Evidence: • Clarity • Expert reviews • Feasibility • Research studies validating • Explicit progressions progressions
  • 4. Proposition 2a: The assessment instruments have been designed to yield scores that can accurately and fairly reflect student achievement of standards. Design Claims: Evidence: • Alignment with standards • Expert reviews of alignment (specs and items) • Small scale studies • Fair and accessible • Sensitivity reviews • Reliable/Replicable • Measurement reviews of procedures design, administration, and scoring procedures
  • 5. Proposition 2b: The assessment instruments have been designed to yield scores that accurately and fairly reflect student growth over the course of the year Design Claims: Evidence: • Sample the range of where • Expert review students may start and end • Teacher review the school year • Designed to be sensitive to instruction
  • 6. Proposition 3: Assessment scores accurately and fairly reflect the status of students’ knowledge and skills relative to learning expectations Design Claims: Evidence: • Psychometric analyses • Psychometric analysis confirm the assessment’s • Bias analysis blueprint • Scores are sufficiently precise and reliable • Scores are fair/unbiased
  • 7. Proposition 4: Student growth scores accurately and fairly measures student progress over the course of the year Design Claims: Evidence: • Score scale reflects the full • Psychometric modeling and distribution of where fit statistics students may start and end • Sensitivity/bias analysis the year • Growth scores are sufficiently precise and reliable for all students • Growth scores are fair/relatively free of bias
  • 8. Proposition 5: Value-added scores represent teachers’ contribution to student growth Design Claims: Evidence: • Scores are instructionally • Assumption checking sensitive • Advanced statistical • Sores representing teacher modeling contribution are sufficiently • Research on instructional precise and reliable sensitivity • Scores representing teachers contributions are relatively free of bias
  • 9. What do we see across the US? • Student Learning Objectives – Austin, Texas; Charlotte- Mecklenburg, North Carolina; and Washington, DC • Subject- and grade-alike measures – Delaware and Tennessee • Universal pre-/post-tests – Hillsborough County, Florida, and Washington, DC • Value-added composite (school/cohort) – Charlotte- Mecklenburg, North Carolina; Delaware; and Tennessee
  • 10. SLOs Teacher (overseen by administrator) selects appropriate measure(s); assesses students at beginning of year; sets specific objectives for performance; and assesses students at end of year. Administrator ultimately determines the teacher’s success in achieving SLOs (Goe 2011).
  • 11. Pro/Con for SLOs • Advantages: Adaptable; permits specialization; and tends to be credible among educators. • Disadvantages: Requires significant attention from administrators; difficult to create comparability and rigor across classrooms; and does not account for differences across teachers in the students served (RttT Assistance Network 2011).
  • 12. Subject- and grade-alike measures Teachers meet in grade- and/ or subject-specific teams to consider growth measures (existing, adapted, or new assessments; portfolios of work; performances, and the like), then agree on measure(s) all will use to determine individual contributions to student growth. District/state then reviews and approves the list for each grade and subject. (May include SLOs, pre-/ post-tests, or other measures.)
  • 13. Subject- and grade-alike measures • Advantages: Designed to yield comparable measures across classrooms/districts. • Disadvantages: Requires significant attention to ensuring comparability and much dedicated time for teachers to work together to develop consistent scoring patterns (RttT Assistance Network 2011).
  • 14. Universal pre-/post-tests • Written pre-/post-tests developed for every grade and every subject. • Advantages: Enables annual growth calculations for all students. • Disadvantages: Requires extensive test development and analysis capacity; and may be difficult to link previous years of test data, given course variety at secondary level.
  • 15. Value-added composite (school/ cohort) Nontested teachers are assigned a composite value- added score based on average test performance of either the school as a whole or the particular cohort of students “claimed” by the teacher (Goe 2011).
  • 16. Value-added composite (school/ cohort) • Advantages: Can contribute to collective efforts around student achievement. • Disadvantages: May mask high and low performers and hold individual teachers accountable for measures over which they have limited influence.
  • 17. A Tale of Two Cities – K-2 • Value-Added Measures of Math and Reading • Assessments administered 2-4 times a year • Administered 1-1 by retired teachers • Minneapolis – Off the shelf public domain assessments – Used to study Beat the Odds Kindergarten Teachers • Edina – Purchased NWEA early grade assessments – Used whole grade and school to study overall effectiveness
  • 18. Build Decision Points Test date Test Demographic Grade timing and Properties Controls Retention frequency Classroom/ Aggregation Student School-year Teacher Units (grades, Mobility Mobility Indicators teams, schools) Special Aggregation Multiple Education Multi-year data over time components detail
  • 19. References Webinar on Evaluating Teacher Quality http://www.aacompcenter.org/cs/aacc/view/rs/26579 A Practical Guide to Designing Comprehensive Teacher Evaluation Systems http://tqsource.org/publications/practicalGuideEvalSyst ems.pdf Measuring Teachers’ Contributions to Student Learning Growth for Nontested Grades and Subjects http://www.lauragoe.com/LauraGoe/MeasuringTeacher sContributions.pdf

Hinweis der Redaktion

  1. (1) Test DateDo you test students only near the end (early May) or beginning (late September) of the school year? If so, do you want to take account of the fact that the annual growth period (say, March to March) cuts across two school years and, typically, two different teachers or sets of teachers.(2) Test Properties Are test scores vertically scaled (across grades)? How can we account for test measurement error? Can we refine our predictions using statistical shrinkage?(3) Demographic controlsControl for differences across schools in student demographic characteristics?Income status (free lunch)race/ethnicitygenderspecial educationEnglish language learner, bilingual(4) Retention Include retained-in-grade and promoted students in the estimation of school effects? (Almost certainly yes.) (5) Student mobility Include students who changed schools over the summer (that is, within the annual testing interval if tests are not administered near the end or beginning of the school year)? (Probably yes.)(6) School-year mobility Include students who changed schools during the school year and take account of within-school year mobility by defining school enrollments in the model as the fraction of the school year enrolled in a given school (dose model)?(7) Classroom/teacher indicators What does a classroom teacher indicator represent? Answer: The productivity of teacher, classroom, principal, and school inputs.(8) Aggregation over units: schools, schools by grade, teacher teams, individual classroom /teacher/ school?Statistical precision is highest at the highest level of aggregation since precision increases with the number of students.Where should incentives be directed: at individuals or teams?(9) Aggregation over time. “Smooth” data over time to improve precision?(10) Multiple components. Separately estimate the productivity of regular school (and teachers), summer school, after school, NCLB Supplemental Education Services (SES)?(11) Special education detail. Control for many different types of special education status (type and severity of handicap)?(12) Multi-year data. Exploit multiple years of longitudinal student data to implicitly control for heterogeneity in student achievement growth profiles?