Analyzing average and conditional effects with multigroup multilevel structural equation models
Analyzing average and conditional effects with multigroup multilevel structural equation models
Conventionally, multilevel analysis of covariance (ML-ANCOVA) has been therecommended approach for analyzing treatment effects in quasi-experimental multilevel designswith treatment application at the cluster-level. In this paper, we introduce the generalizedML-ANCOVA with linear effect functions that identifies average and conditional treatment effectsin the presence of treatment-covariate interactions. We show how the …