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Estimation (Mathematics)2
Monte Carlo Methods2
Reliability2
Sample Size2
Structural Equation Models2
Comparative Analysis1
Error of Measurement1
Maximum Likelihood Statistics1
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Structural Equation Modeling2
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Bandalos, Deborah L.1
Jackson, Dennis L.1
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Sample Size and Number of Parameter Estimates in Maximum Likelihood Confirmatory Factor Analysis: A Monte Carlo Investigation.
Peer reviewed Peer reviewed
Jackson, 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
Assessing Sources of Error in Structural Equation Models: The Effects of Sample Size, Reliability, and Model Misspecification.
Peer reviewed Peer reviewed
Bandalos, 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