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| Models | 2 |
| Sample Size | 2 |
| Simulation | 2 |
| Goodness of Fit | 1 |
| Statistical Bias | 1 |
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| Structural Equation Modeling | 2 |
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| Journal Articles | 2 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
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Peer reviewedKaplan, David; Ferguson, Aaron J. – Structural Equation Modeling, 1999
Examines the use of sample weights in latent variable models in the case where a simple random sample is drawn from a population containing a mixture of strata through a bootstrap simulation study. Results show that ignoring weights can lead to serious bias in latent variable model parameters and reveal the advantages of using sample weights. (SLD)
Descriptors: Models, Sample Size, Simulation, Statistical Bias
Peer reviewedCheung, 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
