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Grimm, Kevin; Zhang, Zhiyong; Hamagami, Fumiaki; Mazzocco, Michele – Multivariate Behavioral Research, 2013
We propose the use of the latent change and latent acceleration frameworks for modeling nonlinear growth in structural equation models. Moving to these frameworks allows for the direct identification of "rates of change" and "acceleration" in latent growth curves--information available indirectly through traditional growth…
Descriptors: Structural Equation Models, Change, Individual Differences, Mathematics Skills
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Hoffman, Lesa – Multivariate Behavioral Research, 2007
Heterogeneity of variance may be more than a statistical nuisance--it may be of direct interest as a result of individual differences. In studies of short-term fluctuation, individual differences may relate to the magnitude of within-person variation as well as to level of an outcome or its covariation with other processes. Although models for…
Descriptors: Dementia, Individual Differences, Heterogeneous Grouping, Evaluation
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Harring, Jeffrey R.; Cudeck, Robert; du Toit, Stephen H. C. – Multivariate Behavioral Research, 2006
The nonlinear random coefficient model has become increasingly popular as a method for describing individual differences in longitudinal research. Although promising, the nonlinear model it is not utilized as often as it might be because software options are still somewhat limited. In this article we show that a specialized version of the model…
Descriptors: Computer Software, Structural Equation Models, Individual Differences, Longitudinal Studies
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Cohen, Patricia – Multivariate Behavioral Research, 1996
Data gathered over 17 years was used to assess 36 childhood risk factors for personality disorder in young adults (original sample of 776 children). Prediction was shown to be better for girls than boys, and for girls, better over a younger age span. Effects of individual risks are explored. (SLD)
Descriptors: Age Differences, At Risk Persons, Children, Evaluation Methods