Olsen Joseph A, Kenny David A
College of Family, Home, and Social Sciences, Brigham Young University, Provo, UT 84602-5301, USA.
Psychol Methods. 2006 Jun;11(2):127-41. doi: 10.1037/1082-989X.11.2.127.
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.
结构方程模型（SEM）可以以一种相对直接的方式进行调整，以分析来自可互换二元组（即两个成员无法区分的二元组）的数据。作者描述了一种用于SEM模型估计、比较和拟合评估的通用策略，该策略可用于二元组水平数据或成对（双输入）二元数据。他们展示了应用该方法的实例，包括行为者-伙伴相互依赖模型、验证性因素分析和潜在增长曲线分析。
