IRT-based response style models and related methodology: Review and commentary.

IF 1.8 3区 心理学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Daniel M Bolt, Lionel Meng
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引用次数: 0

Abstract

We provide a review and commentary on recent methodological research related to item response theory (IRT) modelling of response styles in psychological measurement. Our review describes the different categories of IRT models that have been proposed, their associated assumptions and extensions, and the varying purposes they can serve. Our review also seeks to highlight some of the fundamental challenges shared across models in the study and statistical control of response style behaviour. We conclude with some thoughts regarding future directions, including the potential uses of response style models for sensitivity analysis and informed survey design and administration.

基于irt的回应风格模型及相关方法:回顾与评论。
本文对近年来有关心理测量中反应风格的项目反应理论(IRT)建模的方法学研究进行了综述和评述。我们的综述描述了已经提出的不同类别的IRT模型,它们相关的假设和扩展,以及它们可以服务的不同目的。我们的评论还试图强调在研究和反应风格行为的统计控制模型中共享的一些基本挑战。我们总结了一些关于未来方向的想法,包括响应式模型在敏感性分析和知情调查设计和管理中的潜在用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.00
自引率
3.80%
发文量
34
审稿时长
>12 weeks
期刊介绍: The British Journal of Mathematical and Statistical Psychology publishes articles relating to areas of psychology which have a greater mathematical or statistical aspect of their argument than is usually acceptable to other journals including: • mathematical psychology • statistics • psychometrics • decision making • psychophysics • classification • relevant areas of mathematics, computing and computer software These include articles that address substantitive psychological issues or that develop and extend techniques useful to psychologists. New models for psychological processes, new approaches to existing data, critiques of existing models and improved algorithms for estimating the parameters of a model are examples of articles which may be favoured.
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