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Statistical Properties of the Single Mediator Model with Latent Variables in the Bayesian Framework


Abstract Statistical mediation analysis has been widely used in the social sciences in order to examine the indirect effects of an independent variable on a dependent variable. The statistical properties of the single mediator model with manifest and latent variables have been studied using simulation studies. However, the single mediator model with latent variables in the Bayesian framework with various accurate and inaccurate priors for structural and measurement model parameters has yet to be evaluated in a statistical simulation. This dissertation outlines the steps in the estimation of a single mediator model with latent variables as a Bayesian structural equation model (SEM). A Monte Carlo study is carried out in order to examine the statistic... (more)
Created Date 2017
Contributor Miocevic, Milica (Author) / MacKinnon, David P. (Advisor) / Levy, Roy (Advisor) / Grimm, Kevin (Committee member) / West, Stephen G. (Committee member) / Arizona State University (Publisher)
Subject Quantitative psychology / Bayesian / latent variables / mediation analysis
Type Doctoral Dissertation
Extent 124 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Psychology 2017
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis