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| Monte Carlo Methods | 2 |
| Statistical Analysis | 2 |
| Error of Measurement | 1 |
| Evaluation Methods | 1 |
| Evaluation Research | 1 |
| Research Design | 1 |
| Simulation | 1 |
| Structural Equation Models | 1 |
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| Structural Equation Modeling | 2 |
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| Journal Articles | 2 |
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Peer reviewedPaxton, Pamela; Curran, Patrick J.; Bollen, Kenneth A.; Kirby, Jim; Chen, Feinian – Structural Equation Modeling, 2001
Illustrates the design and planning of Monte Carlo simulations, presenting nine steps in planning and performing a Monte Carlo analysis from developing a theoretically derived question of interest through summarizing the results. Uses a Monte Carlo simulation to illustrate many of the relevant points. (SLD)
Descriptors: Monte Carlo Methods, Research Design, Simulation, Statistical Analysis
Direct linkDudgeon, Paul – Structural Equation Modeling, 2004
This article considers the implications for other noncentrality parameter-based statistics from Steiger's (1998) multiple sample adjustment to the root mean square error of approximation (RMSEA) measure. When a structural equation model is fitted simultaneously in more than 1 sample, it is shown that the calculation of the noncentrality parameter…
Descriptors: Statistical Analysis, Monte Carlo Methods, Structural Equation Models, Error of Measurement
