Policy-Related Population Shifts and Teacher Value-Added Model Scores

• In Event: Roundtable Session 55
  In Roundtable Session: Studies in Teacher Effectiveness, Preparation, and Certification

Abstract

Value-Added Models (VAMs) are statistical models that require longitudinal data that track student growth to estimate teachers' contributions to that growth (Braun, 2005). However, longitudinal data is usually missing because of mobility, transfers, truancy, absenteeism, or educational policy changes. This study will explore the implications of educational policy changes that cause missing data on teacher VAM estimations.

Authors

• Hulya Yurekli, Florida State University

• Christine Ouma, Florida A&M University