Estimating group differences in network models using moderation analysis
Abstract
Statistical network models such as the Gaussian Graphical Model and the Ising model have become popular tools to analyze multivariate psychological datasets. In many applications, the goal is to compare such network models across groups. In this paper, I introduce a method to estimate group differences in network models that is based on moderation analysis. This method is attractive because it allows one to make comparisons across more than two...
Paper Details
Title
Estimating group differences in network models using moderation analysis
Published Date
Jul 21, 2021
Journal
Volume
54
Issue
1
Pages
522 - 540
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