Regarding internal validity, vignette studies afford researchers control and standardization of vignette presentation, alongside systematic manipulation of key aspects of the vignette, thus allowing for rigorous causal inferences to be drawn with respect to the unique and shared variance of multiple factors predicting clinician behavior (Alexander & Becker, 1978;Atzmüller & Steiner, 2010;Taylor, 2006;Veloski et al., 2005;Wallander, 2009). In addition, vignettes can be written in a way that overcomes the multicollinearity and nonorthogonality among variables as they occur in the real world, while still appearing just as realistic to participants (Ludwick et al., 2004;Taylor, 2006;Wallander, 2009). Vignette designs can facilitate increased analytic power and efficiency across a number of analytic methods, including regression, ANOVA, and multilevel modeling (Atzmüller & Steiner, 2010;Ludwick et al., 2004;Murphy et al., 1986;Wallander, 2009Wallander, , 2012. Finally, clinician participants may find enjoyment, challenge, and creativity in participating in vignette studies (Schoenberg & Ravdal, 2000;Wason et al., 2002). Taylor (2006) argues that, to the extent that the design can increase participants' engagement (e.g., reading stories and solving problems rather than answering a list of survey questions), the **data** will be more accurate as a result.