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| Reliability | 3 |
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| Structural Equation Modeling | 3 |
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| Andreenkova, Anna | 1 |
| Bandalos, Deborah L. | 1 |
| Batista-Foguet, Joan M. | 1 |
| Coenders, Germa | 1 |
| Jackson, Dennis L. | 1 |
| Saris, Willem E. | 1 |
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Peer reviewedCoenders, Germa; Saris, Willem E.; Batista-Foguet, Joan M.; Andreenkova, Anna – Structural Equation Modeling, 1999
Illustrates that sampling variance can be very large when a three-wave quasi simplex model is used to obtain reliability estimates. Also shows that, for the reliability parameter to be identified, the model assumes a Markov process. These problems are evaluated with both real and Monte Carlo data. (SLD)
Descriptors: Estimation (Mathematics), Markov Processes, Monte Carlo Methods, Reliability
Peer reviewedJackson, Dennis L. – Structural Equation Modeling, 2001
Investigated the assumption that determining an adequate sample size in structural equation modeling can be aided by considering the number of parameters to be estimated. Findings from maximum likelihood confirmatory factor analysis support previous research on the effect of sample size, measured variable reliability, and the number of measured…
Descriptors: Estimation (Mathematics), Maximum Likelihood Statistics, Monte Carlo Methods, Reliability
Peer reviewedBandalos, Deborah L. – Structural Equation Modeling, 1997
Monte Carlo methods were used to study the accuracy and utility of estimators of overall error and error due to approximation in structural equation modeling. Effects of sample size, indicator reliabilities, and degree of misspecification were examined. The rescaled noncentrality parameter also was examined. Choosing among competing models is…
Descriptors: Comparative Analysis, Error of Measurement, Estimation (Mathematics), Monte Carlo Methods
