Poster #4 - Design Parameters for Impact Evaluations of Science and Mathematics Interventions Involving Teacher Outcomes

• In Event: 47.099 - MTCC Poster Session 11
  In Poster Session: 47.099-1 - Division D Section 2 Statistical Theory and Quantitative Methodologies

Abstract

Estimation of design parameters like ICCs and R2 values has followed ongoing advances in our understanding of appropriate designs for impact studies involving nested data, which commonly occurs in the educational context. However, only a few studies involving teacher outcomes exist despite the common practice of conducting evaluations of teacher professional development. In this study we present design parameter estimates from a compilation of ten studies involving teacher outcomes. These results show large differences in ICCs and R2 values across studies, highlighting a need for better reporting of this information in the literature.

Authors

• Carl Westine, University of North Carolina - Charlotte

• Fatih Unlu, RAND Corporation

• Jessaca K. Spybrook, Western Michigan University

• Joseph Taylor, UCCS

• Qi Zhang, Western Michigan University

• Brent Anderson, RAND Corporation