Common methods bias refers to an element of measurement error that can be attributed to the method used in a particular study (Podsakoff, MacKenzie, Lee, & Podsakoff, 2003). As a first indication, Harman’s one-factor test was conducted by performing a principle component analysis with all items in the study (e.g., Stam & Elfring, 2008). Six distinct factors were extracted explaining 67% of the total variance, with the first factor accounting for 33%. With no single factor emerging, nor one which accounted for a majority of the explained variance, these results lessen the concern regarding common method variance in the current study (Stam & Elfring, 2008). As a second test, a single item marker variable of agreeableness was also included, as marker variables are theoretically not related to any other variables in the study (Podsakoff et al., 2003). Other than a small negative association with affective commitment ( .08) and job satisfaction ( .13), the marker variable was not significantly correlated with any of the other constructs in the current study (p < .05). The collective results suggest that common method variance is not of great concern in the current research (Pritchard & Funk, 2010).