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Ning Jiang – ProQuest LLC, 2022
The purpose of this study is to evaluate the performance of three commonly used model fit indices when measurement invariance is tested in the context of multiple-group CFA analysis with categorical-ordered data. As applied researchers are increasingly aware of the importance of testing measurement invariance, as well as Likert-type scales are…
Descriptors: Goodness of Fit, Factor Analysis, Data, Monte Carlo Methods
Wilson, Celia M. – ProQuest LLC, 2010
Research pertaining to the distortion of the squared canonical correlation coefficient has traditionally been limited to the effects of sampling error and associated correction formulas. The purpose of this study was to compare the degree of attenuation of the squared canonical correlation coefficient under varying conditions of score reliability.…
Descriptors: Monte Carlo Methods, Measurement, Multivariate Analysis, Error of Measurement
Choi, Sae Il – ProQuest LLC, 2009
This study used simulation (a) to compare the kernel equating method to traditional equipercentile equating methods under the equivalent-groups (EG) design and the nonequivalent-groups with anchor test (NEAT) design and (b) to apply the parametric bootstrap method for estimating standard errors of equating. A two-parameter logistic item response…
Descriptors: Item Response Theory, Comparative Analysis, Sampling, Statistical Inference