Results 201 to 210 of about 193,208 (246)

Acceleration model in the heterogeneous case of the general graded response model

Psychometrika, 1995
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
exaly   +2 more sources

Recovery of Graded Response Model Parameters

Applied Psychological Measurement, 2012
Markov 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
exaly   +2 more sources

Graded response model based on the logistic positive exponent family of models for dichotomous responses

Psychometrika, 2008
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, Samejima Fumiko
exaly   +2 more sources

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