Power Analysis for Detecting Growth in Alphabetic Knowledge for At-Risk Kindergarten Students

• In Event: 54.081 - Poster Session 11
  In Poster Session: 54.081-8 - Applying Multilevel Modeling in Substantive Research

Abstract

The purpose of the present study is to investigate the required sample size and the number of data collection time points for fitting a latent growth model on Letter Sound Fluency (LSF) measures among at-risk kindergarten students. We conduct power analyses with simulation data to answer this question. With limited financial resources, it is very valuable to know whether it is more efficient to collect more measurements per students or a larger number of students with fewer measurements.

Authors

• Yu-Yu Hsiao, University of New Mexico

• Nathan H. Clemens, Texas A&M University

• Oiman Kwok, Texas A&M University - College Station

• Leslie Simmons, Texas A&M University