Results 201 to 210 of about 400,137 (262)

Evaluating Neural Networks Architectures for Competency Prediction from Process Data Using PISA Computer-Based Mathematics Assessment. [PDF]

J Intell
Kuang H.
europepmc   +1 more source

Nutrition-associated health levels in cancer patients based on the ICF: an expanded study of 300 cases. [PDF]

Front Nutr
Chen J, Sun S, Shen H, Liu J, Lin F.
europepmc   +1 more source

Benchmarking publicly accessible large language models for high-myopia multiple-choice question generation in digital ophthalmic education and public health training. [PDF]

Front Public Health
Jiang L, Jiang X, Wu W, Jiang F.
europepmc   +1 more source

Measuring navigational and digital health literacy in individuals with long-term conditions: latent trait analyses using Rasch modelling. [PDF]

Front Public Health
Haaland M, Finbråten HS, Helseth S, Le C, Skirbekk H, Guttersrud Ø.   +5 more
europepmc   +1 more source

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A Taxonomy of Item Response Models

Psychometrika, 1986
A number of models for categorical item response data have been proposed in recent years. The models appear to be quite different. However, they may usefully be organized as members of only three distinct classes, within which the models are distinguished only by assumptions and constraints on their parameters.
Thissen, David, Steinberg, Lynne
openaire   +1 more source

An Item Response Model with Internal Restrictions on Item Difficulty

Psychometrika, 1998
An IRT model based on the Rasch model is proposed for composite tasks, that is, tasks that are decomposed into subtasks of different kinds. There is one subtask for each component that is discerned in the composite tasks. A component is a generic kind of subtask of which the subtasks resulting from the decomposition are specific instantiations with ...
Butter, R., de Boeck, P., Verhelst, N.D.
openaire   +2 more sources

Item Response Models

1985
The purpose of this chapter is to introduce a wide array of mathematical models that have been used in the analysis of educational and psychological test data. Each model consists of (1) an equation linking (observable) examinee item performance and a latent (unobservable) ability and (2) several of the assumptions described in chapter 2 plus others ...
Ronald K. Hambleton, Hariharan Swaminathan   +1 more
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On the Complexity of Item Response Theory Models

Multivariate Behavioral Research, 2017
Complexity in item response theory (IRT) has traditionally been quantified by simply counting the number of freely estimated parameters in the model. However, complexity is also contingent upon the functional form of the model. We examined four popular IRT models-exploratory factor analytic, bifactor, DINA, and DINO-with different functional forms but ...
Wes, Bonifay, Li, Cai
openaire   +2 more sources