Multilevel Modeling of Mathematics Achievement: A Report of Evidence From the Education Longitudinal Study

• In Event: 61.087 - Poster Session 12
  In Poster Session: 61.087-4 - Multilevel Modeling: Complex Survey Data and Missing Data

Abstract

Modeling mathematics achievement has intrigued educational researchers for a long period. Factors such as gender, race, parents’ education and school sectors are proven to play important roles in predicting students’ mathematics achievement. This study is designed to examine whether math efficacy, math credits, postsecondary plan and school sectors are significant in predicting students’ math performance. By utilizing the tool of multilevel modeling, this study confirms the predictive power of math efficacy, math course credits, postsecondary plans and school sectors as to students’ mathematics achievement.

Author

• Tenglong Li, Michigan State University