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Impact of Violations of Longitudinal Measurement Invariance in Latent Growth Models and Autoregressive Quasi-simplex Models

Abstract In order to analyze data from an instrument administered at multiple time points it is a common practice to form composites of the items at each wave and to fit a longitudinal model to the composites. The advantage of using composites of items is that smaller sample sizes are required in contrast to second order models that include the measurement and the structural relationships among the variables. However, the use of composites assumes that longitudinal measurement invariance holds; that is, it is assumed that that the relationships among the items and the latent variables remain constant over time. Previous studies conducted on latent growth models (LGM) have shown that when longitudinal metric invariance is violated, the parameter esti... (more)
Created Date 2013
Contributor Olivera Aguilar, Margarita (Author) / Millsap, Roger E. (Advisor) / Levy, Roy (Committee member) / Mackinnon, David (Committee member) / West, Stephen G. (Committee member) / Arizona State University (Publisher)
Subject Quantitative psychology and psychometrics / Autoregressive quasi-simplex models / Latent growth models / Longitudinal Measurement invariance
Type Doctoral Dissertation
Extent 172 pages
Language English
Reuse Permissions All Rights Reserved
Note Ph.D. Psychology 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis