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Cheung, Mike W.-L.; Cheung, Shu Fai – Research Synthesis Methods, 2016
Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM.…
Descriptors: Statistical Analysis, Models, Meta Analysis, Structural Equation Models
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In'nami, Yo; Koizumi, Rie – Language Assessment Quarterly, 2011
Despite the recent increase of structural equation modeling (SEM) in language testing and learning research and Kunnan's (1998) call for the proper use of SEM to produce useful findings, there seem to be no reviews about how SEM is applied in these areas or about the extent to which the current application accords with appropriate practices. To…
Descriptors: Structural Equation Models, Testing, Language Tests, Second Language Learning
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Edwards, Jeffrey R.; Lambert, Lisa Schurer – Psychological Methods, 2007
Studies that combine moderation and mediation are prevalent in basic and applied psychology research. Typically, these studies are framed in terms of moderated mediation or mediated moderation, both of which involve similar analytical approaches. Unfortunately, these approaches have important shortcomings that conceal the nature of the moderated…
Descriptors: Path Analysis, Structural Equation Models, Psychological Studies, Research Methodology
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Ferguson, Kristin M.; Mindel, Charles H. – Crime & Delinquency, 2007
This study tested a model of the effects of different predictors on individuals' levels of fear of crime in Dallas neighborhoods. Given its dual focus on individual perceptions and community-level interactions, social capital theory was selected as the most appropriate framework to explore fear of crime within the neighborhood milieu. A structural…
Descriptors: Neighborhoods, Social Support Groups, Crime, Safety