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Peer reviewedTakane, Yoshio; de Leeuw, Jan – Psychometrika, 1987
Equivalence of marginal likelihood of the two-parameter normal ogive model in item response theory and factor analysis of dichotomized variables was formally proved. Ordered and unordered categorical data and paired comparisons data were discussed, and a taxonomy of data for the models was suggested. (Author/GDC)
Descriptors: Classification, Factor Analysis, Latent Trait Theory, Mathematical Models
Kim, Seock-Ho – 2002
Continuation ratio logits are used to model the possibilities of obtaining ordered categories in a polytomously scored item. This model is an alternative to other models for ordered category items such as the graded response model and the generalized partial credit model. The discussion includes a theoretical development of the model, a…
Descriptors: Ability, Classification, Item Response Theory, Mathematical Models
Peer reviewedThissen, David; Steinberg, Lynne – Psychometrika, 1986
This article organizes models for categorical item response data into three distinct classes. "Difference models" are appropriate for ordered responses, "divide-by-total" models for either ordered or nominal responses, and "left-side added" models for multiple-choice responses with guessing. Details of the taxonomy…
Descriptors: Classification, Item Analysis, Latent Trait Theory, Mathematical Models
Samejima, Fumiko – 1983
Some cognitive psychologists, who have tried to approach psychometric theories, say that the psychometric approach does not provide them with theories and methods with which they can deal with differential strategies. In this paper, a general latent trait model for differential strategies in cognitive processes is proposed which includes three…
Descriptors: Adaptive Testing, Classification, Cognitive Processes, Estimation (Mathematics)
Owston, Ronald D. – 1979
The development of a probabilistic model for validating Gange's learning hierarchies is described. Learning hierarchies are defined as paired networks of intellectual tasks arranged so that a substantial amount of positive transfer occurs from tasks in a lower position to connected ones in a higher position. This probabilistic validation technique…
Descriptors: Associative Learning, Classification, Difficulty Level, Mathematical Models


