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Direct linkAnselmi, Pasquale; Robusto, Egidio; Stefanutti, Luca – Psychometrika, 2012
The Gain-Loss model is a probabilistic skill multimap model for assessing learning processes. In practical applications, more than one skill multimap could be plausible, while none corresponds to the true one. The article investigates whether constraining the error probabilities is a way of uncovering the best skill assignment among a number of…
Descriptors: Item Response Theory, Learning Processes, Simulation, Probability
Peer reviewedPolson, Peter G. – Psychometrika, 1972
Paper presents derivations of expressions for functions for any absorbing Markov-chain model. (Author)
Descriptors: Learning, Models, Predictive Measurement, Probability
Peer reviewedFienberg, Stephen E.; Larntz, F. Kinley, Jr. – Psychometrika, 1971
The Lorge-Solomon approach to group problem solving situations and its extensions to trichotomous response situations are examined by use of the maximum likelihood methods. (DG)
Descriptors: Goodness of Fit, Group Behavior, Models, Nonparametric Statistics
Peer reviewedMislevy, Robert J.; Verhelst, Norman – Psychometrika, 1990
A model is presented for item responses when different subjects use different strategies, but only responses--not choice of strategy--can be observed. Substantive theory is used to differentiate the likelihoods of response vectors under a fixed set of strategies, and response probabilities are modeled via item parameters for each strategy. (TJH)
Descriptors: Algorithms, Guessing (Tests), Item Response Theory, Mathematical Models
