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Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated…
Descriptors: Monte Carlo Methods, Predictor Variables, Research Methodology, Test Bias
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Kim, Eun Sook; Yoon, Myeongsun – Structural Equation Modeling: A Multidisciplinary Journal, 2011
This study investigated two major approaches in testing measurement invariance for ordinal measures: multiple-group categorical confirmatory factor analysis (MCCFA) and item response theory (IRT). Unlike the ordinary linear factor analysis, MCCFA can appropriately model the ordered-categorical measures with a threshold structure. A simulation…
Descriptors: Measurement, Factor Analysis, Item Response Theory, Comparative Analysis
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Sivo, Stephen; Fan, Xitao; Witta, Lea – Structural Equation Modeling: A Multidisciplinary Journal, 2005
The purpose of this study was to evaluate the robustness of estimated growth curve models when there is stationary autocorrelation among manifest variable errors. The results suggest that when, in practice, growth curve models are fitted to longitudinal data, alternative rival hypotheses to consider would include growth models that also specify…
Descriptors: Structural Equation Models, Interaction, Correlation, Test Bias
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Gonzalez-Roma, Vicente; Tomas, Ines; Ferreres, Doris; Hernandez, Ana – Structural Equation Modeling: A Multidisciplinary Journal, 2005
The aims of this study were to investigate whether the 6 items of the Physical Appearance Scale (Marsh, Richards, Johnson, Roche, & Tremayne, 1994) show differential item functioning (DIF) across gender groups of adolescents, and to show how this can be done using the multigroup mean and covariance structure (MG-MACS) analysis model. Two samples…
Descriptors: Measures (Individuals), Self Concept, Gender Differences, Adolescents