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Peer reviewedde Jong, Peter F. – Structural Equation Modeling, 1999
Describes how a hierarchical regression analysis may be conducted in structural equation modeling. The main procedure is to perform a Cholesky or triangular decomposition of the intercorrelations among the latest predictors. Provides an example of a hierarchical regression analysis with latent variables. (SLD)
Descriptors: Predictor Variables, Regression (Statistics), Structural Equation Models
Peer reviewedBrown, Roger L. – Structural Equation Modeling, 1997
Reviews the use of structural equation modeling for providing an overall assessment of mediation, the mechanism that accounts for the relation between the predictor and the criterion. A strategy for supplemental details is presented that measures the magnitude of mediational effects. (SLD)
Descriptors: Computer Software, Mathematical Models, Predictor Variables, Structural Equation Models
Peer reviewedBroome, Kirk M.; And Others – Structural Equation Modeling, 1997
Structural models were used to examine developmental stages of antisocial behavior and their relation to during-treatment performance of 245 probationers in an inpatient substance abuse treatment program. Separate childhood and adulthood antisocial functioning components predicted psychological functioning and program perceptions during treatment.…
Descriptors: Adults, Antisocial Behavior, Attitudes, Behavior Patterns
