What Are Error Rates for Classifying Teacher and School Performance Using Value-Added Models?
AbstractThis article addresses likely error rates for measuring teacher and school performance in the upper elementary grades using value-added models applied to student test score gain data. Using formulas based on ordinary least squares and empirical Bayes estimators, error rates for comparing a teacherâ€™s performance to the average are likely to be about 25 percent with three years of data and 35 percent with one year of data. Corresponding error rates for overall false positive and negative errors are 10 percent and 20 percent, respectively. The results suggest that policymakers must carefully consider likely system error rates when using value-added estimates to make high-stakes decisions regarding educators.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Mathematica Policy Research in its series Mathematica Policy Research Reports with number 7762.
Date of creation: 30 Apr 2013
Date of revision:
Contact details of provider:
Postal: Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications
Fax: (609) 799-0005
Web page: http://www.mathematica-mpr.com/
More information through EDIRC
Value-Added Models; Performance Measurement Systems; Student Learning Gains; False Positive and Negative Error Rates;
Find related papers by JEL classification:
- I - Health, Education, and Welfare
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-06-04 (All new papers)
- NEP-EDU-2013-06-04 (Education)
- NEP-EFF-2013-06-04 (Efficiency & Productivity)
- NEP-HRM-2013-06-04 (Human Capital & Human Resource Management)
- NEP-URE-2013-06-04 (Urban & Real Estate Economics)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joanne Pfleiderer) or (Joanne Lustig).
If references are entirely missing, you can add them using this form.