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Choi, Jaehwa; Harring, Jeffrey R.; Hancock, Gregory R. – Multivariate Behavioral Research, 2009
Throughout much of the social and behavioral sciences, latent growth modeling (latent curve analysis) has become an important tool for understanding individuals' longitudinal change. Although nonlinear variations of latent growth models appear in the methodological and applied literature, a notable exclusion is the treatment of growth following…
Descriptors: Causal Models, Structural Equation Models, Longitudinal Studies, Change
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Dinno, Alexis – Multivariate Behavioral Research, 2009
Horn's parallel analysis (PA) is the method of consensus in the literature on empirical methods for deciding how many components/factors to retain. Different authors have proposed various implementations of PA. Horn's seminal 1965 article, a 1996 article by Thompson and Daniel, and a 2004 article by Hayton, Allen, and Scarpello all make assertions…
Descriptors: Structural Equation Models, Item Response Theory, Computer Software, Surveys
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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