Results 161 to 170 of about 485,678 (204)

A multidimensional zero-inflated graded response model for ordinal symptom data.

Psychological Methods, 2022
Zero responses and their equivalents-for example, never, none, not at all-are commonly observed on measures of psychopathology inquiring about symptom frequencies, particularly when these measures are administered to community samples. Measurement researchers typically accommodate multivariate zero inflation by including a nonpathological class of ...
Brooke E. Magnus, Mauricio Garnier-Villarreal   +1 more
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Graded Response Model

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 ...
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The Polychotomous Rasch Model and Dichotomizatipn of Graded Responses

1984
Abstract This oaner 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 oo-lychotomization of the response continuum, ranging e.g.
Jansen, Paul, Roskam, E.E.
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Parameter Recovery in the Graded Response Model Using MULTILOG

Journal of Educational Measurement, 1990
The graded response model can be used to describe test‐taking behavior when item responses are classified into ordered categories. In this study, parameter recovery in the graded response model was investigated using the MULTILOG computer program under default conditions.
Steve P. Reise, Jiayuan Yu
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Generalized fiducial inference for graded response models

2015
Generalized fiducial inference (GFI) has been proposed as an alternative inferential framework in the statistical literature. Inferences of various sorts, such as confidence regions for (possibly transformed) model parameters, making prediction about future observations, and goodness of fit evaluation, can be constructed from a fiducial distribution ...
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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
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Graded Responses and Joining Categories: A Rejoinder to Andrich' “Models For Measurement, Precision, and Nondichotomization of Graded Responses”

Psychometrika, 1995
Andrich (1995) claims that the “probability distribution [of graded responses] reflects the precision with which the data are collected” (p. 7), and that an “increase in precision of responses [ . . . ] destroys the joining assumption” (p. 22). He stressed “that Jansen and Roskam simply asserted this equivalence [of the joining assumption and ξ ...
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Lasso Regularization for DIF Detection in Graded Response Models

2023
Previous research has tested the lasso method for DIF detection in dichotomous items, but limited research is available on this technique for polytomous items. This simulation study compares the lasso method to hybrid ordinal logistic regression to test performance in terms of TP and FP rates when considering sample size, test length, number of ...
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Estimation of IRT graded response models: Limited versus full information methods.

Psychological Methods, 2009
The performance of parameter estimates and standard errors in estimating F. Samejima's graded response model was examined across 324 conditions. Full information maximum likelihood (FIML) was compared with a 3-stage estimator for categorical item factor analysis (CIFA) when the unweighted least squares method was used in CIFA's third stage.
Carlos G, Forero, Alberto, Maydeu-Olivares   +1 more
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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).
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