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Muharib, Reem; Walker, Virginia L.; Alresheed, Fahad; Gerow, Stephanie – Journal of Autism and Developmental Disorders, 2021
In this review, we summarized and meta-analyzed 35 single-case intervention studies that involved the use of multiple schedules of reinforcement with 78 individuals with intellectual and developmental disabilities. Based on Tau-U calculations, multiple schedules of reinforcement produced an overall large effect for appropriate communicative…
Descriptors: Reinforcement, Intellectual Disability, Developmental Disabilities, Scheduling
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Hulac, David; Benson, Nicholas; Nesmith, Matthew C.; Wollersheim Shervey, Sarah – Journal of Educational Research and Practice, 2016
When behaviors are reinforced with a variable interval reinforcement schedule, reinforcement is available only after an unknown period of time. These types of reinforcement schedules are most useful for reinforcing slow and steady responding and for differentially reinforcing behaviors that are incompatible with some problematic behaviors. This…
Descriptors: Classroom Techniques, Predictor Variables, Reinforcement, Intervals
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Heyman, Gene M. – Psychological Review, 1979
Staddon and Motheral derived a mathematical model of responding in concurrent variable-interval--variable-interval schedules. Their derivation ignores a fundamental aspect of the concurrent schedule contingency. A reinforcer can occur following two consecutive responses on the same schedule or following a switch between the two schedules.…
Descriptors: Behavior Theories, Learning Processes, Mathematical Models, Operant Conditioning
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Staddon, J. E. R.; Motheral, Susan – Psychological Review, 1979
Heyman's major criticism (TM 504 810) of Staddon and Motheral's reinforcement maximization model is that it does not consider "local" and "interchangeover" interresponse times separately. We show that this separation may not be necessary. Heyman's apparent gain in comprehensiveness may not be worth the added complexity.…
Descriptors: Behavior Theories, Learning Processes, Mathematical Models, Operant Conditioning