APS

30th APS Annual Convention · 2018

A Model Performance Investigation for Latent Transition Analysis with Covariate for Psychological Study

San Francisco, CA · May 2018

Poster · Methodology

  • Jun Liu
    University of Florida
  • Yuxi Qiu
    University of Florida

Abstract

Latent transition analysis (LTA) is widely used for psychological research. Current simulation study investigated LTA performance under practical conditions. The results show class separation and sample size have significant effect for accurate model estimation. In addition, large class separation has protective effect on model misspecification.

Statistics and Methodology

← Poster Session V