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Ghisletta, Paolo; McArdle, John J. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
In recent years the use of the latent curve model (LCM) among researchers in social sciences has increased noticeably, probably thanks to contemporary software developments and the availability of specialized literature. Extensions of the LCM, like the the latent change score model (LCSM), have also increased in popularity. At the same time, the R…
Descriptors: Statistical Analysis, Structural Equation Models, Computation, Computer Software
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Crayen, Claudia; Geiser, Christian; Scheithauer, Herbert; Eid, Michael – Structural Equation Modeling: A Multidisciplinary Journal, 2011
In many intervention and evaluation studies, outcome variables are assessed using a multimethod approach comparing multiple groups over time. In this article, we show how evaluation data obtained from a complex multitrait-multimethod-multioccasion-multigroup design can be analyzed with structural equation models. In particular, we show how the…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Program Evaluation, Preschool Children
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Willoughby, Michael; Vandergrift, Nathan; Blair, Clancy; Granger, Douglas A. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
This study introduces a novel application of structural equation modeling (SEM) for the analysis of cortisol data that are collected using a pre-post-post design. By way of an extended example, an SEM model is developed that permits an examination of both the overall level of cortisol, as well as changes in cortisol (reactivity and regulation), as…
Descriptors: Disadvantaged Youth, Structural Equation Models, Cognitive Ability, Preschool Children