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

Research output: Contribution to conferencePoster

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
Event29th Annual Convention of the Association for Psychological Science - Boston, United States
Duration: 25 May 201728 May 2017
https://www.psychologicalscience.org/conventions/archive/2017-2

Conference

Conference29th Annual Convention of the Association for Psychological Science
Abbreviated titleAPS 2017
Country/TerritoryUnited States
CityBoston
Period25/05/1728/05/17
Internet address

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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