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Anselmi, 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
Goegebeur, Yuri; De Boeck, Paul; Wollack, James A.; Cohen, Allan S. – Psychometrika, 2008
An item response theory model for dealing with test speededness is proposed. The model consists of two random processes, a problem solving process and a random guessing process, with the random guessing gradually taking over from the problem solving process. The involved change point and change rate are considered random parameters in order to…
Descriptors: Problem Solving, Item Response Theory, Models, Case Studies
de la Torre, Jimmy; Douglas, Jeffrey A. – Psychometrika, 2008
This paper studies three models for cognitive diagnosis, each illustrated with an application to fraction subtraction data. The objective of each of these models is to classify examinees according to their mastery of skills assumed to be required for fraction subtraction. We consider the DINA model, the NIDA model, and a new model that extends the…
Descriptors: Markov Processes, Identification, Goodness of Fit, Subtraction
Hickendorff, Marian; Heiser, Willem J.; van Putten, Cornelis M.; Verhelst, Norman D. – Psychometrika, 2009
In the Netherlands, national assessments at the end of primary school (Grade 6) show a decline of achievement on problems of complex or written arithmetic over the last two decades. The present study aims at contributing to an explanation of the large achievement decrease on complex division, by investigating the strategies students used in…
Descriptors: Foreign Countries, Grade 6, Arithmetic, National Competency Tests

Polson, Peter G. – Psychometrika, 1972
Paper presents derivations of expressions for functions for any absorbing Markov-chain model. (Author)
Descriptors: Learning, Models, Predictive Measurement, Probability

Lattin, James M. – Psychometrika, 1990
An approach is presented for determining unidimensional scale estimates that are relatively insensitive to limited inconsistencies in paired comparisons data. The solution procedure--a minimum-cost network-flow problem--is presented in conjunction with a sensitivity diagnostic that assesses the influence of a single pairwise comparison on…
Descriptors: Estimation (Mathematics), Least Squares Statistics, Mathematical Models, Problem Solving

Regal, Ronald R.; Larntz, Kinley – Psychometrika, 1978
Models relating individual and group problem solving solution times under the condition of limited time (time limit censoring) are presented. Maximum likelihood estimation of parameters and a goodness of fit test are presented. (Author/JKS)
Descriptors: Goodness of Fit, Hypothesis Testing, Mathematical Models, Problem Solving

Fienberg, 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

Mislevy, 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