Modeling Behavioral Persistence with Resurgence as Choice in Context (RaC²): A Tutorial

Resurgence as Choice in Context (RaC²) is a quantitative model for evaluating the reemergence of a previously extinguished response when alternative reinforcement is worsened. Rooted in the matching law, RaC² proposes that allocation between target and alternative responding is based on changes in the relative value of each response option over time, accounting for periods with and without alternative reinforcement. Given that practitioners and applied researchers may have limited experience with constructing quantitative models, we provide a step-by-step task analysis for building RaC² using Microsoft Excel 2013. We also provide a few basic learning activities to help readers better understand RaC² itself, the variables that affect the model's predictions, and the clinical implications of those predictions.

The online version contains supplementary material available at 10.1007/s40617-023-00796-y.