As the number and variety of technology applications designed to support evidence-based behavioral health practices have grown dramatically in recent years, so too has the emerging research literature in this area. This newfound empirical attention is most welcome. However, a natural consequence has been the proliferation of published studies that have used different research designs, sampling strategies, and outcome measures to address a host of different research questions. This variability, along with the exponential increase in the sheer volume of publications in this area, makes it particularly challenging to draw generalizable conclusions about the effectiveness of technology to support evidence-based behavioral health practices.