We examined model fit in three scenarios. In the first, we modeled all data concurrently, regardless of group membership, where “group” is defined by sex (male versus female) and study source (MTFS, community-sampled; versus SAGE, clinically over-selected). Second, we fit the model separately in each group. From these initial models we evaluated whether the proposed hierarchical factor model fit the data appropriately within each of the sex- and sample-defined groups, prior to formally testing measurement invariance in a multigroup model.
