January 24, 2019
One of the challenges facing investigators who study substance abuse is determining the proper frequency with which to assess participants’ behavior. Assess too frequently and participants might quit because the burden is too high. Assess too infrequently and the data collected may be less accurate. In a forthcoming article in Addictive Behaviors, graduate student Wanjun Liu and his mentor, Methodology Center Investigator Runze Li, lead a team of researchers who examine the differences between retrospective timeline follow-back (TLFB) data and prospective daily process data. Both types of data are collected extensively in drug abuse research, and the authors propose a new method for validating TFLB against daily process data.