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Preacher, Kristopher J. – Multivariate Behavioral Research, 2011
Strategies for modeling mediation effects in multilevel data have proliferated over the past decade, keeping pace with the demands of applied research. Approaches for testing mediation hypotheses with 2-level clustered data were first proposed using multilevel modeling (MLM) and subsequently using multilevel structural equation modeling (MSEM) to…
Descriptors: Structural Equation Models, Data, Multivariate Analysis
Preacher, Kristopher J. – Multivariate Behavioral Research, 2006
Fitting propensity (FP) is defined as a model's average ability to fit diverse data patterns, all else being equal. The relevance of FP to model selection is examined in the context of structural equation modeling (SEM). In SEM it is well known that the number of free model parameters influences FP, but other facets of FP are routinely excluded…
Descriptors: Structural Equation Models, Case Studies, Selection

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