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Decomposable Models: A New Look at Interdependence and Dependence Structures in Psychological Research.
Peer reviewed Peer reviewed
Hodapp, Volker; Wermuth, Nanny – Multivariate Behavioral Research, 1983
Decomposable models, which allow for the interdependence of structure among observable variables, are described. Each model is fully characterized by a set of conditional interdependence restrictions and can be visualized with an undirected as well as a special type of directed graph. (Author/JKS)
Descriptors: Correlation, Data Analysis, Estimation (Mathematics), Mathematical Models
A Study of the Sampling Variability and "z"-Values of Parameter Estimates from Misspecified Structural Equation Models.
Peer reviewed Peer reviewed
Kaplan, David – Multivariate Behavioral Research, 1989
The sampling variability and zeta-values of parameter estimates for misspecified structural equation models were examined. A Monte Carlo study was used. Results are discussed in terms of asymptotic theory and the implications for the practice of structural equation models. (SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Mathematical Models, Monte Carlo Methods