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…

A need exists for a controlled examination of the variables that may affect the results of a behavior-based safety program. These include the rate of risky behaviors and how they relate to a contingent bonus payout (Experiment 1), and the relative amounts of honesty in injury reporting and rule following (Experiment 2). A simple task consisting of…

Describes generativity theory based on the probabilities of many behaviors that are in competition and considers its effect on creativity. Topics discussed include previous and current generativity research, including behavior charts and frequency profiles; computer simulations; skills that improve generative processes; and creativity training in…