Structural equation modeling with interchangeable dyads.
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.
Olsen
Joseph A
JA
College of Family, Home, and Social Sciences, Brigham Young University, Provo, UT 84602-5301, USA. joseph_olsen@byu.edu
Kenny
David A
DA
D015982:Bias; D003627:Data Interpretation, Statistical; D006801:Humans; D008432:Mathematical Computing; D015233:Models, Statistical; D012984:Software