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Klauer, Karl Christoph – Psychometrika, 2010
Multinomial processing tree models are widely used in many areas of psychology. A hierarchical extension of the model class is proposed, using a multivariate normal distribution of person-level parameters with the mean and covariance matrix to be estimated from the data. The hierarchical model allows one to take variability between persons into…
Descriptors: Simulation, Bayesian Statistics, Computation, Models
Peer reviewedDuncan, George T. – Psychometrika, 1978
Statistical procedures based on Bayesian estimation for obtaining estimates of a propensity (which would include estimates of proportions or relative frequencies) are described for the special case where the observer can only note whether the propensity exceeds or does not exceed a constant between 0 and 1. (JKS)
Descriptors: Bayesian Statistics, Decision Making, Hypothesis Testing, Probability
Peer reviewedRamsay, J. O. – Psychometrika, 1978
Techniques are developed for constructing confidence regions for each of the points in a multidimensional scaling solution. Bayesian credibility regions are discussed, and a technique for displaying these regions is described. (Author/JKS)
Descriptors: Bayesian Statistics, Hypothesis Testing, Mathematical Models, Measurement Techniques
Peer reviewedTatsuoka, Kikumi K.; Tatsuoka, Maurice M. – Psychometrika, 1987
The rule space model permits measurement of cognitive skill acquisition and error diagnosis. Further discussion introduces Bayesian hypothesis testing and bug distribution. An illustration involves an artificial intelligence approach to testing fractions and arithmetic. (Author/GDC)
Descriptors: Bayesian Statistics, Cognitive Measurement, Error Patterns, Hypothesis Testing

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