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Structural Equation Modeling2
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Bandalos, Deborah L.1
Wang, Jichuan1
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Significance Testing for Outcome Changes via Latent Growth Model
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Wang, Jichuan – Structural Equation Modeling, 2004
In addition to assessing the rate of change in outcome measures, it may be useful to test the significance of outcome changes during specific time periods within an entire observation period under study. While discussing the delta method and bootstrapping, this study demonstrates how to use these 2 methods to estimate the standard errors of the…
Descriptors: Longitudinal Studies, Error of Measurement, Measures (Individuals), Comparative Analysis
Assessing Sources of Error in Structural Equation Models: The Effects of Sample Size, Reliability, and Model Misspecification.
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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