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Gallistel, C. R. – Psychological Review, 2009
Null hypotheses are simple, precise, and theoretically important. Conventional statistical analysis cannot support them; Bayesian analysis can. The challenge in a Bayesian analysis is to formulate a suitably vague alternative, because the vaguer the alternative is (the more it spreads out the unit mass of prior probability), the more the null is…
Descriptors: Bayesian Statistics, Statistical Analysis, Probability, Hypothesis Testing
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Harrigan, Kevin A. – International Journal of Mental Health and Addiction, 2009
Since 1983, slot machines in North America have used a computer and virtual reels to determine the odds. Since at least 1988, a technique called clustering has been used to create a high number of near misses, failures that are close to wins. The result is that what the player sees does not represent the underlying probabilities and randomness,…
Descriptors: Operant Conditioning, Probability, Classical Conditioning, Behavior Modification
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Miller, Ronald Mellado; Capaldi, E. John – Learning and Motivation, 2006
Sequential theory's memory model of learning has been successfully applied in response contingent instrumental conditioning experiments (Capaldi, 1966, 1967, 1994; Capaldi & Miller, 2003). However, it has not been systematically tested in nonresponse contingent Pavlovian conditioning experiments. The present experiments attempted to determine if…
Descriptors: Reinforcement, Training, Experiments, Probability
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Hoffman, Aaron B.; Murphy, Gregory L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2006
Three experiments compared the learning of lower-dimensional family resemblance categories (4 dimensions) with the learning of higher-dimensional ones (8 dimensions). Category-learning models incorporating error-driven learning, hypothesis testing, or limited capacity attention predict that additional dimensions should either increase learning…
Descriptors: Experiments, Classical Conditioning, Probability, Comparative Analysis