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Corten, Irmgard W.; Saris, Willem E.; Coenders, Germa; van der Veld, William; Aalberts, Chris E.; Kornelis, Charles – Structural Equation Modeling, 2002
Compared different models suggested for the analysis of multitrait multimethod (MTMM) experiments for their fit to 87 data sets collected in the United States. The fit of models based on polychoric correlations is much worse than the fit of models based on product moment correlations, but in both cases a model that assumes additive method effects…
Descriptors: Correlation, Goodness of Fit, Multitrait Multimethod Techniques
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Cheung, Gordon W.; Rensvold, Roger B. – Structural Equation Modeling, 2002
Examined 20 goodness-of-fit indexes based on the minimum fit function using a simulation under the 2-group situation. Results support the use of the delta comparative fit index, delta Gamma hat, and delta McDonald's Noncentrality Index to evaluation measurement invariance. These three approaches are independent of model complexity and sample size.…
Descriptors: Goodness of Fit, Models, Sample Size, Simulation
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Kenny, David A.; McCoach, D. Betsy – Structural Equation Modeling, 2003
Used three approaches to understand the effect of the number of variables in the model on model fit in structural equation modeling through computer simulation. Developed a simple formula for the theoretical value of the comparative fit index. (SLD)
Descriptors: Computer Simulation, Goodness of Fit, Models, Structural Equation Models
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Bandalos, Deborah L. – Structural Equation Modeling, 2002
Used simulation to study the effects of the practice of item parceling. Results indicate that certain types of item parceling can obfuscate a multidimensional factor structure in a way that acceptable values of fit indexes are found for a misspecified solution. Discusses why the use of parceling cannot be recommended when items are…
Descriptors: Estimation (Mathematics), Factor Structure, Goodness of Fit, Test Items
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Wicherts, Jelte M.; Dolan, Conor V. – Structural Equation Modeling, 2004
Information fit indexes such as Akaike Information Criterion, Consistent Akaike Information Criterion, Bayesian Information Criterion, and the expected cross validation index can be valuable in assessing the relative fit of structural equation models that differ regarding restrictiveness. In cases in which models without mean restrictions (i.e.,…
Descriptors: Goodness of Fit, Structural Equation Models, Factor Structure, Indexes
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DiStefano, Christine – Structural Equation Modeling, 2002
Investigated the impact of categorization on confirmatory factor analysis parameter estimates, standard errors, and five ad hoc fit indexes through simulation studies. Results replicate some previous studies but also suggest that tests of parameter estimates will be underestimated and the amount of underestimation will increase as saturation…
Descriptors: Classification, Error of Measurement, Estimation (Mathematics), Goodness of Fit
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Fan, Xitao; Wang, Lin; Thompson, Bruce – Structural Equation Modeling, 1999
A Monte Carlo simulation study investigated the effects on 10 structural equation modeling fit indexes of sample size, estimation method, and model specification. Some fit indexes did not appear to be comparable, and it was apparent that estimation method strongly influenced almost all fit indexes examined, especially for misspecified models. (SLD)
Descriptors: Estimation (Mathematics), Goodness of Fit, Monte Carlo Methods, Sample Size
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Tomas, Jose M.; Oliver, Amparo – Structural Equation Modeling, 1999
Results of a study with 640 Spanish high school students suggest the existence of a global self-esteem factor underlying responses to Rosenberg's (M. Rosenberg, 1965) Self-Esteem Scale, although the inclusion of method effects is needed to achieve a good model fit. Method effects are associated with item wording. (SLD)
Descriptors: Factor Analysis, Factor Structure, Foreign Countries, Goodness of Fit
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Pomplun, Mark; Omar, Md Hafidz – Structural Equation Modeling, 2001
Investigated the factorial invariance of scores from a seventh grade state reading assessment across general education students and selected groups of students with disabilities. Assessed the fit of a two-factor model and five levels of constraint. Results generally support the score comparability of the reading assessment, but more research is…
Descriptors: Comparative Analysis, Disabilities, Factor Analysis, Factor Structure