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A Study of Statistical Power and Type I Errors in Testing a Factor Analytic Model for Group Differences in Regression Intercepts

Abstract In the past, it has been assumed that measurement and predictive invariance are consistent so that if one form of invariance holds the other form should also hold. However, some studies have proven that both forms of invariance only hold under certain conditions such as factorial invariance and invariance in the common factor variances. The present research examined Type I errors and the statistical power of a method that detects violations to the factorial invariant model in the presence of group differences in regression intercepts, under different sample sizes and different number of predictors (one or two). Data were simulated under two models: in model A only differences in the factor means were allowed, while model B violated invarian... (more)
Created Date 2010
Contributor Olivera, Margarita (Author) / Millsap, Roger E. (Advisor) / Aiken, Leona S. (Committee member) / Enders, Craig K. (Committee member) / Arizona State University (Publisher)
Subject Quantitative Psychology and Psychometrics / Psychology / factorial invariance / measurement invariance / power / predictive invariance / regression intercept invariance / Type I errors
Type Masters Thesis
Extent 75 pages
Language English
Reuse Permissions All Rights Reserved
Note M.A. Psychology 2010
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis