Exploratory factor analysis (EFA) was used to examine the underlying dimensionality of the full set of 47 items using Mplus Version 7.1 (Muthén and Muthén, 2013). Factor extraction was carried out on a split-half sample using a robust weighted least squares estimator (WLSMV) with a diagonal weight matrix (Muthén, 1984; Muthén et al., 1997) and GEOMIN oblique rotation to extract factors (Browne, 2001; Yates, 1987). Before subsequent confirmatory factor analysis (CFA) models were conducted, resulting models were compared on model fit statistics, patterns of EFA factor loadings, and correlations between items that informed a priori our decisions about the CFA to be estimated.
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