An alternative latent growth curve model for the analysis of longitudinal data with time-dependent observations: A simulation study

Lok Yin Joyce KWAN, Wai CHAN

Research output: Other contribution › Other contributions

Abstract

Typical latent growth curve analysis in structural equation modeling (SEM) assumes each individual has the same measurement schedule and is measured by equal number of times. This study proposes an alternative SEM model for growth curve analysis, which takes time-dependence of data into account. Simulation study results will be presented. Copyright © 2017 29th Association for Psychological Science Annual Convention (APS).
Original languageEnglish
Publication statusPublished - May 2017

Citation

Kwan, J. L. Y., & Chan, W. (2017, May). An alternative latent growth curve model for the analysis of longitudinal data with time-dependent observations: A simulation study. Poster presented at the 29th Association for Psychological Science Annual Convention (APS), Sheraton Boston Hotel, Boston, MA, USA.

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