A Probabilistic IRT Model for Unfolding Preference Data

Author:

Andrich David1

Affiliation:

1. Murdoch University

Abstract

A probabilistic model is developed for the pair- comparison design in which the unfolding principle that governs the choice process uses a discriminal pro cess analogous to Thurstone's Law of Comparative Judgment. However, this process is governed by the square of the distance between the location of the per son and the stimulus, rather than controlled by the lo cation of the stimulus as in Thurstone's formulation. A simulation study demonstrates the feasibility of esti mation, and two examples use real data to show the implications of the unfolding models for psychological research. Index terms: choice data, item response theory, pair comparisons, preference data, unfolding.

Publisher

SAGE Publications

Subject

Psychology (miscellaneous),Social Sciences (miscellaneous)

Cited by 43 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Generalized Thurstonian Unfolding Model (GTUM): Advancing the Modeling of Forced-Choice Data;Organizational Research Methods;2023-11-01

2. Nondecomposable Item Response Theory models: Fundamental measurement in psychometrics;Journal of Mathematical Psychology;2023-06

3. Comparative judgment;International Encyclopedia of Education(Fourth Edition);2023

4. A general recognition theory model for identifying an ideal stimulus;Attention, Perception, & Psychophysics;2022-06-14

5. The Fisher information function and scoring in binary ideal point item response models: a cautionary tale;British Journal of Mathematical and Statistical Psychology;2021-10-23

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