The Sensitivity of Value-Added Teacher Effect Estimates to Different Mathematics Achievement Measures

Using longitudinal data from a cohort of middle school students from a large school district, we estimate separate "value-added" teacher effects for two subscales of a mathematics assessment under a variety of statistical models varying in form and degree of control for student background...

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Bibliographic Details
Published in:Journal of educational measurement 2007-03, Vol.44 (1), p.47-67
Main Authors: Lockwood, J. R., McCaffrey, Daniel F., Hamilton, Laura S., Stecher, Brian, Le, Vi-Nhuan, Martinez, José Felipe
Format: Article
Language:English
Subjects:
Academic Achievement
Accountability
Analytical estimating
Assessment
Background characteristics
Economic models
Educational evaluation
Grade 5
Growth models
Mathematical procedures
Mathematics
Mathematics Achievement
Mathematics education
Mathematics teachers
Middle School Students
Middle schools
Number systems
Outcomes of education
Problem solving
School District Size
School districts
Sensitivity
Skills
Specification
Statistical variance
Student Characteristics
Studies
Teachers
Test scores
Thinking Skills
Value Added Models
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Summary:Using longitudinal data from a cohort of middle school students from a large school district, we estimate separate "value-added" teacher effects for two subscales of a mathematics assessment under a variety of statistical models varying in form and degree of control for student background characteristics. We find that the variation in estimated effects resulting from the different mathematics achievement measures is large relative to variation resulting from choices about model specification, and that the variation within teachers across achievement measures is larger than the variation across teachers. These results suggest that conclusions about individual teachers' performance based on value-added models can be sensitive to the ways in which student achievement is measured.
ISSN:0022-0655
1745-3984
DOI:10.1111/j.1745-3984.2007.00026.x