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Obtaining Accurate Estimates of the Mediated Effect with and without Prior Information


Abstract Research methods based on the frequentist philosophy use prior information in a priori power calculations and when determining the necessary sample size for the detection of an effect, but not in statistical analyses. Bayesian methods incorporate prior knowledge into the statistical analysis in the form of a prior distribution. When prior information about a relationship is available, the estimates obtained could differ drastically depending on the choice of Bayesian or frequentist method. Study 1 in this project compared the performance of five methods for obtaining interval estimates of the mediated effect in terms of coverage, Type I error rate, empirical power, interval imbalance, and interval width at N = 20, 40, 60, 100 and 500. In St... (more)
Created Date 2014
Contributor Miocevic, Milica (Author) / MacKinnon, David P. (Advisor) / Levy, Roy (Committee member) / West, Stephen G. (Committee member) / Enders, Craig (Committee member) / Arizona State University (Publisher)
Subject Quantitative psychology and psychometrics / Bayesian / Interval estimation / Mediation
Type Masters Thesis
Extent 182 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Masters Thesis Psychology 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis