协变量
心理学
结构方程建模
感知
简单(哲学)
合作伙伴效应
软件
计算机科学
社会心理学
机器学习
认识论
程序设计语言
哲学
神经科学
作者
Lara Stas,David A. Kenny,Axel Mayer,Tom Loeys
摘要
Abstract The actor–partner interdependence model (APIM) is widely used for analyzing dyadic data. Although dyadic research has become immensely popular, its statistical complexity can be a barrier. To remedy this, a free user‐friendly web application, called APIM _ SEM , has been developed. This app automatically performs the statistical analyses (i.e., structural equation modeling) of both simple and complex APIMs. It allows the researcher to analyze distinguishable or indistinguishable dyads, to examine dyadic patterns, to estimate actor and partner effects of one or two predictors, and to control for covariates. Results are provided in software and text format, complemented by summary tables and figures. As an illustration, the effect of perception of the partner on satisfaction is assessed by fitting APIMs with varying complexity.
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