Assessing Mediation in Dyadic Data Using the Actor-Partner Interdependence Model

Autor/inn/en	Ledermann, Thomas; Macho, Siegfried; Kenny, David A.
Titel	Assessing Mediation in Dyadic Data Using the Actor-Partner Interdependence Model
Quelle	In: Structural Equation Modeling: A Multidisciplinary Journal, 18 (2011) 4, S.595-612 (18 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1070-5511
DOI	10.1080/10705511.2011.607099
Schlagwörter	Structural Equation Models; Sampling; Statistical Inference; Interpersonal Relationship; Mediation Theory + Suchen Sie Ihr Suchwort? Inferential statistics; Schließende Statistik; Interpersonal relation; Interpersonal relations; Interpersonelle Beziehung; Zwischenmenschliche Beziehung; Mediationsverfahren
Abstract	The assessment of mediation in dyadic data is an important issue if researchers are to test process models. Using an extended version of the actor-partner interdependence model the estimation and testing of mediation is complex, especially when dyad members are distinguishable (e.g., heterosexual couples). We show how the complexity of the model can be reduced by assuming specific dyadic patterns. Using structural equation modeling, we demonstrate how specific mediating effects and contrasts among effects can be tested by phantom models that permit point and bootstrap interval estimates. We illustrate the assessment of mediation and the strategies to simplify the model using data from heterosexual couples. (Contains 3 figures and 7 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10