Literature DB >> 9917423

A General Formulation for Unidimensional Unfolding and Pairwise Preference Models: Making Explicit the Latitude of Acceptance.

.   

Abstract

Probabilistic unfolding models for direct responses of persons to statements are characterised by single peaked response functions. The range in which a positive response is most likely is termed the latitude of acceptance, a well known but little researched concept in the modelling of attitude measurement. This paper derives a general form for probabilistic unfolding models in which a natural parameter characterises the latitude of acceptance. It is shown that a number of already known models for unfolding can be reexpressed in this general form with different operational functions and that, in doing so, the implied latitude of acceptance for these models is identified. It is also shown that other unfolding models can be generated readily by specifying the operational function of the general form. A general form for pairwise preference models is also presented. A discussion on the latitude of acceptance parameter as a scale parameter is also provided. Copyright 1998 Academic Press.

Entities:  

Year:  1998        PMID: 9917423     DOI: 10.1006/jmps.1998.1206

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


  6 in total

1.  A General Unfolding IRT Model for Multiple Response Styles.

Authors:  Chen-Wei Liu; Wen-Chung Wang
Journal:  Appl Psychol Meas       Date:  2018-04-16

2.  A Law of Comparative Preference: Distinctions Between Models of Personal Preference and Impersonal Judgment in Pair Comparison Designs.

Authors:  David Andrich; Guanzhong Luo
Journal:  Appl Psychol Meas       Date:  2017-11-02

3.  Loss of Information in Estimating Item Parameters in Incomplete Designs.

Authors:  Theo J H M Eggen; Norman D Verhelst
Journal:  Psychometrika       Date:  2017-02-11       Impact factor: 2.500

4.  Evaluating Rater Accuracy in Rater-Mediated Assessments Using an Unfolding Model.

Authors:  Jue Wang; George Engelhard; Edward W Wolfe
Journal:  Educ Psychol Meas       Date:  2015-12-14       Impact factor: 2.821

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

Authors:  James A Wiley; John Levi Martin; Stephen J Herschkorn; Jason Bond
Journal:  PLoS One       Date:  2015-11-06       Impact factor: 3.240

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

Authors:  Chen-Wei Liu; R Philip Chalmers
Journal:  PLoS One       Date:  2018-05-03       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.