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Thorne, David R. – Journal of the Experimental Analysis of Behavior, 2010
Various theoretical equations have been proposed to predict response rate as a function of the rate of reinforcement. If both the rate and probability of reinforcement are considered, a simple identity, defining equation, or "law" holds. This identity places algebraic constraints on the allowable forms of our mathematical models and can help…
Descriptors: Behavioral Science Research, Economics, Responses, Reinforcement
Locey, Matthew L.; Dallery, Jesse – Journal of the Experimental Analysis of Behavior, 2009
Many drugs of abuse produce changes in impulsive choice, that is, choice for a smaller-sooner reinforcer over a larger-later reinforcer. Because the alternatives differ in both delay and amount, it is not clear whether these drug effects are due to the differences in reinforcer delay or amount. To isolate the effects of delay, we used a titrating…
Descriptors: Mathematical Models, Reinforcement, Probability, Drug Abuse
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Nevin, John A. – Behavior Analyst, 2008
Radical behaviorism considers private events to be a part of ongoing observable behavior and to share the properties of public events. Although private events cannot be measured directly, their roles in overt action can be inferred from mathematical models that relate private responses to external stimuli and reinforcers according to the same…
Descriptors: Animals, Visual Stimuli, Food, Mathematical Models
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Machado, Armando; Rodrigues, Paulo – Journal of the Experimental Analysis of Behavior, 2007
Two experiments examined how pigeons differentiate response patterns along the dimension of number. In Experiment 1, 5 pigeons received food after pecking the left key at least N times and then switching to the right key (Mechner's Fixed Consecutive Number schedule). Parameter N varied across conditions from 4 to 32. Results showed that run length…
Descriptors: Item Response Theory, Probability, Mathematical Models, Animals
Hutchinson, Thomas E. – Amer Educ Res J, 1969
Work performed persuant to grant number 1-06, 1819-2240 from the U.S. Office of Education.
Descriptors: Behavioral Science Research, Career Choice, Mathematical Models, Probability
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Lissitz, Robert W.; Halperin, Silas – Educational and Psychological Measurement, 1971
Descriptors: Behavioral Science Research, Computer Programs, Hypothesis Testing, Mathematical Models
Timm, Neil H. – 1971
Pearson's unrestricted chi-square procedure is reviewed, and an historical presentation of Neyman's restricted chi-square test is introduced with a discussion of its theory and applicability to education. An example of the Neyman procedure is discussed in detail to familiarize researchers with this useful technique for analyzing contingency…
Descriptors: Behavioral Science Research, Data Analysis, Hypothesis Testing, Mathematical Applications
Mitchell, Terence R.; Beach, Lee Roy – 1975
Expectancy theory and decision theory research predicting occupational preference and choice were reviewed to assess the usefulness of such approaches. Each investigation produced substantial support for the use of such models suggesting that both theories can provide practical insights for occupational guidance and counseling. While theoretical,…
Descriptors: Behavioral Science Research, Career Choice, Career Counseling, Career Guidance