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Structural Equation Modeling2
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Duncan, Susan C.1
Duncan, Terry E.1
Li, Fuzhong1
Raykov, Tenko1
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Analysis of Longitudinal Studies With Missing Data Using Covariance Structure Modeling With Full-Information Maximum Likelihood
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Raykov, Tenko – Structural Equation Modeling, 2005
A didactic discussion of covariance structure modeling in longitudinal studies with missing data is presented. Use of the full-information maximum likelihood method is considered for model fitting, parameter estimation, and hypothesis testing purposes, particularly when interested in patterns of temporal change as well as its covariates and…
Descriptors: Longitudinal Studies, Hypothesis Testing, Maximum Likelihood Statistics
A Comparison of Model- and Multiple Imputation-Based Approaches to Longitudinal Analyses with Partial Missingness.
Peer reviewed Peer reviewed
Duncan, Terry E.; Duncan, Susan C.; Li, Fuzhong – Structural Equation Modeling, 1998
Presents an application of latent growth curve methodology to the analysis of longitudinal developmental change in alcohol consumption of 586 young adults, illustrating three approaches to the analysis of missing data: (1) multiple-sample structural equation modeling procedures; (2) raw maximum likelihood analyses; and (3) multiple modeling and…
Descriptors: Algorithms, Change, Comparative Analysis, Drinking