We conducted a series of confirmatory factor analyses (CFA) using the lavaan (version 0.6; Rosseel, 2012) and semTools (version 0.5; Jorgensen, Pornprasertmanit, Schoemann, & Rosseel, 2019) packages in R statistical software (version 3.2.1; R Core Team, 2019). These CFAs employed weighted least squares estimation due to the binary nature of the indicators (Flora & Curran, 2004), error terms of each SSAGA item were uncorrelated, and (when applicable) each model estimated correlations between each latent factor. To set the scale of each latent factor, the first indicator of each factor was fixed to one.
