Literature DB >> 11302711

A Class of Probabilistic Unfolding Models for Polytomous Responses.

Guanzhong Luo1.   

Abstract

By revisiting the approaches used to present the Rasch model for polytomous response, this paper uses the principle of the rating formulation (Andrich, 1978) to construct a class of unfolding models for polytomous responses in terms of a set of latent dichotomous unfolding variables. By anchoring the dichotomous unfolding variables involved at the same location, this paper presents a formulation of a very general class of unfolding models for ordered polytomous responses, of which the unfolding models for ordered polytomous responses proposed hitherto are special cases. Within this class, the analytic and measurement properties of the probabilistic functions are well interpreted in terms of the latitudes of acceptance parameters of the dichotomous unfolding models. Based on the general form of this class of unfolding models, some new models are readily specified. Copyright 2001 Academic Press.

Year:  2001        PMID: 11302711     DOI: 10.1006/jmps.2000.1310

Source DB:  PubMed          Journal:  J Math Psychol        ISSN: 0022-2496            Impact factor:   2.223


  7 in total

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3.  Unfolding IRT Models for Likert-Type Items With a Don't Know Option.

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Journal:  Educ Psychol Meas       Date:  2015-12-14       Impact factor: 2.821

6.  A New Extension of the Binomial Error Model for Responses to Items of Varying Difficulty in Educational Testing and Attitude Surveys.

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Journal:  PLoS One       Date:  2015-11-06       Impact factor: 3.240

7.  Fitting item response unfolding models to Likert-scale data using mirt in R.

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Journal:  PLoS One       Date:  2018-05-03       Impact factor: 3.240

  7 in total

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