Children's preference for mixed- versus fixed-ratio schedules of reinforcement: A translational study of risky choice

Student preference for and performance in fixed- versus mixed-duration schedules

Duration schedules of reinforcement for continuous behavior abide by several preexisting operant behavioral economic equations for reinforcer cost, otherwise known as price, and consumption. Duration schedules require behaviors to occur for a set duration of time prior to accessing reinforcement, unlike interval schedules that produce reinforcement after the first instance of a behavior after a given period. Despite extensive examples of naturally occurring duration schedules, translational research regarding duration schedules is quite limited. Further, a lack of research investigating the implementation of such reinforcement schedules, combined with concepts such as preference, represents a gap in the applied behavior analysis literature. The current study measured three elementary students' preferences for fixed- and mixed-duration schedules of reinforcement during academic work completion. Results suggest students prefer mixed-duration schedules of reinforcement that provide the opportunity to access reinforcement at a reduced price and that such arrangements could be employed to increase work completion and academic-engaged time.

Translating Behavior Analysis: a Spectrum Rather than a Road Map

Much has been written about the potential benefits of translational research in behavior analysis, but a lack of consensus about what constitutes "translational" creates a barrier to effective knowledge-practice innovation within the discipline and across other sciences. We propose a tiered system, adapted from a biomedical translational pathway, for classifying behavior analysis research on a basic-applied spectrum. Tier 0 is blue sky basic science in which the subjects, behaviors, stimuli, and settings are selected for convenience. Tier 1 is use-inspired basic science with a socially important end game and research subject. Tier 2 is solution-oriented research that attempts to solve a specific problem in a socially important subject, but 1 or more aspects of the research are selected for purposes of experimental control rather than social importance. Tier 3 is applied behavior analysis research that studies a problem of social significance for the subject and involves behaviors, stimuli, and settings that are socially important. Tier 4 is impact assessment in which behavioral technology is applied with a direct benefit to society. We provide examples of behavior-analytic research in each tier and evaluate the potential benefits of organizing behavior analysis in this way.