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The Impact of Partial Measurement Invariance on Between-group Comparisons of Latent Means for a Second-Order Factor


Abstract A simulation study was conducted to explore the influence of partial loading invariance and partial intercept invariance on the latent mean comparison of the second-order factor within a higher-order confirmatory factor analysis (CFA) model. Noninvariant loadings or intercepts were generated to be at one of the two levels or both levels for a second-order CFA model. The numbers and directions of differences in noninvariant loadings or intercepts were also manipulated, along with total sample size and effect size of the second-order factor mean difference. Data were analyzed using correct and incorrect specifications of noninvariant loadings and intercepts. Results summarized across the 5,000 replications in each condition included Type I er... (more)
Created Date 2016
Contributor Liu, Yixing (Author) / Thompson, Marilyn (Advisor) / Green, Samuel (Committee member) / Levy, Roy (Committee member) / Arizona State University (Publisher)
Subject Statistics / Latent Mean Comparisons / Measurement Invariance / Second-Order CFA Models / Simulation Study
Type Masters Thesis
Extent 197 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Masters Thesis Educational Psychology 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis