Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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A multivariate latent class profile analysis for longitudinal data with a latent group variable

  • Lee, Jung Wun (Department of Statistics, University of Connecticut) ;
  • Chung, Hwan (Department of Statistics, Korea University)
  • Received : 2019.05.26
  • Accepted : 2019.09.17
  • Published : 2020.01.31
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Abstract

In research on behavioral studies, significant attention has been paid to the stage-sequential process for multiple latent class variables. We now explore the stage-sequential process of multiple latent class variables using the multivariate latent class profile analysis (MLCPA). A latent profile variable, representing the stage-sequential process in MLCPA, is formed by a set of repeatedly measured categorical response variables. This paper proposes the extended MLCPA in order to explain an association between the latent profile variable and the latent group variable as a form of a two-dimensional contingency table. We applied the extended MLCPA to the National Longitudinal Survey on Youth 1997 (NLSY97) data to investigate the association between of developmental progression of depression and substance use behaviors among adolescents who experienced Authoritarian parental styles in their youth.

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References

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