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Structural equation modeling with interchangeable dyads
Joseph A Olsen1, David A Kenny
1College of Family, Home, and Social Sciences, Brigham Young University, Provo, UT 84602-5301, USA. joseph_olsen@byu.edu
Abstract:
Structural equation modeling (SEM) can be adapted in a relatively straightforward fashion to analyze data from interchangeable dyads (i.e., dyads in which the 2 members cannot be differentiated). The authors describe a general strategy for SEM model estimation, comparison, and fit assessment that can be used with either dyad-level or pairwise (double-entered) dyadic data. They present applications illustrating this approach with the actor-partner interdependence model, confirmatory factor analysis, and latent growth curve analysis.
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