Results 241 to 250 of about 21,796,219 (281)
EMBED: Ensemble MATCONT-Based Detection and Classification of Bifurcations in Dual Phosphorylation-Dephosphorylation Reaction Networks. [PDF]
Harika GL, Sriram K.
europepmc +1 more source
Acceleration Model in the Heterogeneous Case of the General Graded Response Model
A new model, called acceleration model, is proposed in the framework of the heterogenous case of the graded response model, based on processing functions defined for a finite or enumerable number of steps. The model is expected to be useful in cognitive assessment, as well as in more traditional areas of application of latent trait models. Criteria for
Fumiko Samejima
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Equating Tests Under the Graded Response Model [PDF]
The Stocking and Lord (1983) procedure for computing equating coefficients for tests having dichotomously scored items is extended to the case of graded response items. A system of equations for obtaining the equating coefficients under Samejima's (1969, 1972) graded response model is derived.
Frank B. Baker
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Samejima (Psychometrika 65:319–335, 2000) proposed the logistic positive exponent family of models (LPEF) for dichotomous responses in the unidimensional latent space. The objective of the present paper is to propose and discuss a graded response model that is expanded from the LPEF, in the context of item response theory (IRT).
Fumiko Samejima
exaly +3 more sources
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Latent Trait Models and Dichotomization of Graded Responses
Psychometrika, 1986This paper discusses the compatibility of the polychotomous Rasch model with dichotomization of the response continuum. It is argued that in the case of graded responses, the response categories presented to the subject are essentially an arbitrary polychotomization of the response continuum,
Paul G.W. Jansen
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1997
The graded response model represents a family of mathematical models that deals with ordered polytomous categories. These ordered categories include rating such as letter grading, A, B, C, D, and F, used in the evaluation of students’ performance; strongly disagree, disagree, agree, and strongly agree, used in attitude surveys; or partial credit given ...
Fumiko Samejima
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The graded response model represents a family of mathematical models that deals with ordered polytomous categories. These ordered categories include rating such as letter grading, A, B, C, D, and F, used in the evaluation of students’ performance; strongly disagree, disagree, agree, and strongly agree, used in attitude surveys; or partial credit given ...
Fumiko Samejima
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Recovery of Graded Response Model Parameters
Applied Psychological Measurement, 2012Markov chain Monte Carlo (MCMC) methods enable a fully Bayesian approach to parameter estimation of item response models. In this simulation study, the authors compared the recovery of graded response model parameters using marginal maximum likelihood (MML) and Gibbs sampling (MCMC) under various latent trait distributions, test lengths, and sample ...
Prathiba Natesan
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