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Grimm, Kevin J.; Pianta, Robert C.; Konold, Timothy – Multivariate Behavioral Research, 2009
Multitrait-multimethod (MTMM) confirmatory factor models were combined with longitudinal structural equation models to examine trait and method stability over time. A longitudinal correlated-trait correlated-method (CT-CM) model allowed for the study of trait and method variance in observed scores over time. Longitudinal measurement invariance was…
Descriptors: Multitrait Multimethod Techniques, Structural Equation Models, Longitudinal Studies, Children
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Zhang, Zhiyong; Nesselroade, John R. – Multivariate Behavioral Research, 2007
Dynamic factor models have been used to analyze continuous time series behavioral data. We extend 2 main dynamic factor model variations--the direct autoregressive factor score (DAFS) model and the white noise factor score (WNFS) model--to categorical DAFS and WNFS models in the framework of the underlying variable method and illustrate them with…
Descriptors: Bayesian Statistics, Computation, Simulation, Behavioral Science Research
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Phillips, Warren R.; Lorimor, Theron – Multivariate Behavioral Research, 1974
Examines international crises in the 1960's with relation to the conflictual aspects of interacting dyads involved in crises to discern conflictual dimensions of national behavior during such periods. Additionally, conflict behavior was examined for those periods immediately prior to and immediately following crisis situation. (Author/RC)
Descriptors: Behavior, Behavior Change, Conflict, Conflict Resolution
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Duncan, Terry E.; And Others – Multivariate Behavioral Research, 1995
The utility of a generalized estimating equations approach to the analysis of longitudinal data was demonstrated through investigation of the role of parental marijuana use in 763 families on lagged changes in marijuana use by their adolescent children over 6 years. Over time, parental use was positively related to adolescent use. (SLD)
Descriptors: Adolescents, Age Differences, Behavior Change, Drug Use