we used CFA to assess the psychometric properties of the multiple-items calves used to measure these constructs. We estimated an overall, four-factor confirmatory measurement model, and found it to have a satisfactory fit to the data (overall model fit χ2/df = 1.42, comparative fit index [CFI] = 0.98, incremental fit index [IFI] = 0.98,
root mean square error of approximation [RMSEA]=0.06). In addition, we tested a one factor model that represented the alternate conceptualization of this construct (overall model fit χ2/df =6.06, CFI =0.67, IFI =0.68, RMSEA=0.22). Results indicate that the four-factor model provides a better fit. All factor loadings exceeded 0.55, with all t-values greater than 7.67, providing evidence of convergent validity among our measures.