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Autor/inn/enPeugh, James L.; DiLillo, David; Panuzio, Jillian
TitelAnalyzing Mixed-Dyadic Data Using Structural Equation Models
QuelleIn: Structural Equation Modeling: A Multidisciplinary Journal, 20 (2013) 2, S.314-337 (24 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1070-5511
DOI10.1080/10705511.2013.769395
SchlagwörterStructural Equation Models; Data Analysis; Statistical Analysis; Computer Software; Longitudinal Studies; Case Studies; Marital Satisfaction; Spouses; Twins; Life Satisfaction; Foreign Countries; Sweden
AbstractMixed-dyadic data, collected from distinguishable (nonexchangeable) or indistinguishable (exchangeable) dyads, require statistical analysis techniques that model the variation within dyads and between dyads appropriately. The purpose of this article is to provide a tutorial for performing structural equation modeling analyses of cross-sectional and longitudinal models for mixed independent variable dyadic data, and to clarify questions regarding various dyadic data analysis specifications that have not been addressed elsewhere. Artificially generated data similar to the Newlywed Project and the Swedish Adoption Twin Study on Aging were used to illustrate analysis models for distinguishable and indistinguishable dyads, respectively. Due to their widespread use among applied researchers, the AMOS and M"plus" statistical analysis software packages were used to analyze the dyadic data structural equation models illustrated here. These analysis models are presented in sufficient detail to allow researchers to perform these analyses using their preferred statistical analysis software package. (Contains 11 figures, 4 tables, and 6 footnotes.) (As Provided).
AnmerkungenPsychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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