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| Structural Equation Modeling | 3 |
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| Foss, Tron | 1 |
| Howell, Roy D. | 1 |
| Marcoulides, George A. | 1 |
| Muthen, Bengt O. | 1 |
| Muthen, Linda K. | 1 |
| Olsson, Ulf Henning | 1 |
| Raykov, Tenko | 1 |
| Troye, Sigurd V. | 1 |
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| Journal Articles | 3 |
| Reports - Descriptive | 3 |
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Peer reviewedRaykov, Tenko; Marcoulides, George A. – Structural Equation Modeling, 2000
Outlines a method for comparing completely standardized solutions in multiple groups. The method is based on a correlation structure analysis of equal-size samples and uses the correlation distribution theory implemented in the structural equation modeling program RAMONA. (SLD)
Descriptors: Comparative Analysis, Correlation, Sample Size, Structural Equation Models
Peer reviewedMuthen, Linda K.; Muthen, Bengt O. – Structural Equation Modeling, 2002
Demonstrates how substantive researchers can use a Monte Carlo study to decide on sample size and determine power. Presents confirmatory factor analysis and growth models as examples, conducting these analyses with the Mplus program (B. Muthen and L. Muthen 1998). (SLD)
Descriptors: Monte Carlo Methods, Power (Statistics), Research Methodology, Sample Size
Peer reviewedOlsson, Ulf Henning; Foss, Tron; Troye, Sigurd V.; Howell, Roy D. – Structural Equation Modeling, 2000
Used simulation to demonstrate how the choice of estimation method affects indexes of fit and parameter bias for different sample sizes when nested models vary in terms of specification error and the data demonstrate different levels of kurtosis. Discusses results for maximum likelihood (ML), generalized least squares (GLS), and weighted least…
Descriptors: Estimation (Mathematics), Goodness of Fit, Least Squares Statistics, Maximum Likelihood Statistics
