The authors propose a general modeling framework called the general monotone model (GeMM), which allows one to model psychological phenomena that manifest as nonlinear relations in behavior data without the need for making (overly) precise assumptions about functional form. Using both simulated and real data, the authors illustrate that GeMM…

This book presents part of the proceedings from the Third Annual Conference on Behavior Analysis in Education which was designed to provide Project Follow Through with the most current research products in the field, and to serve participating researchers by providing a medium for exchange of information regarding the state of the art and its most…