The cusp catastrophe model as cross-sectional and longitudinal mixture structural equation models

Sy Miin Chow, Katie Witkiewitz, Raoul P P P Grasman, Stephen A Maisto

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

Catastrophe theory (Thom, 1972, 1993) is the study of the many ways in which continuous changes in a system's parameters can result in discontinuous changes in 1 or several outcome variables of interest. Catastrophe theory-inspired models have been used to represent a variety of change phenomena in the realm of social and behavioral sciences. Despite their promise, widespread applications of catastrophe models have been impeded, in part, by difficulties in performing model fitting and model comparison procedures. We propose a new modeling framework for testing 1 kind of catastrophe model-the cusp catastrophe model-as a mixture structural equation model (MSEM) when cross-sectional data are available; or alternatively, as an MSEM with regime-switching (MSEM-RS) when longitudinal panel data are available. The proposed models and the advantages offered by this alternative modeling framework are illustrated using 2 empirical examples and a simulation study.

Original languageEnglish (US)
Pages (from-to)142-164
Number of pages23
JournalPsychological Methods
Volume20
Issue number1
DOIs
StatePublished - Mar 1 2015

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Keywords

  • Catastrophe
  • Differential equation
  • Dynamic
  • Mixture structural equation models
  • Regime switching

ASJC Scopus subject areas

  • Psychology (miscellaneous)
  • History and Philosophy of Science

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