title: Multiple-group analysis approach to testing group difference in indirect effects.
abstract: This article introduces five methods that take a multiple-group analysis approach to testing a group difference in indirect effects. Unlike the general frameworks for testing moderated indirect effects, the five methods provide direct tests for equality of indirect effects between groups. A simulation study was conducted to examine the performance of the methods in terms of the empirical type I error rate, statistical power, and coverage of 95 % confidence intervals. The likelihood ratio test and percentile bootstrap confidence intervals are recommended. The methods are illustrated using an empirical data set.
authors.affiliation: Department of Psychology, Boston College, Chestnut Hill, MA, 02467, USA, ehri.ryu.1@bc.edu.
authors.forename: Ehri
authors.initials: E
authors.lastname: Ryu
mesh_terms: D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D015999:Multivariate Analysis; D044382:Population Groups / Q000706:statistics & numerical data*; D011589:Psychology, Experimental / Q000379:methods*