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Rhemtulla, Mijke; Brosseau-Liard, Patricia E.; Savalei, Victoria – Psychological Methods, 2012
A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…
Descriptors: Factor Analysis, Computation, Simulation, Sample Size
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Geiser, Christian; Eid, Michael; Nussbeck, Fridtjof W.; Courvoisier, Delphine S.; Cole, David A. – Developmental Psychology, 2010
The authors show how structural equation modeling can be applied to analyze change in longitudinal multitrait-multimethod (MTMM) studies. For this purpose, an extension of latent difference models (McArdle, 1988; Steyer, Eid, & Schwenkmezger, 1997) to multiple constructs and multiple methods is presented. The model allows investigators to separate…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Validity, Measurement
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Knoeppel, Robert C.; Rinehart, James S. – Educational Considerations, 2008
The purpose of this study was to compare multiple regression with canonical analysis in order to introduce a new, policy relevant methodology to the literature on production functions. Findings from this study confirmed the results of past inquiries that found a relationship between the inputs to schooling and measures of student achievement. A…
Descriptors: Academic Achievement, Literature Reviews, Multiple Regression Analysis, Predictor Variables