Henninger Mirka, Meiser Thorsten
Department of Psychology.
Psychol Methods. 2020 Oct;25(5):560-576. doi: 10.1037/met0000249.
A large variety of item response theory (IRT) modeling approaches aim at measuring and correcting for response styles in rating data. Here, we integrate response style models of the divide-by-total model family into one superordinate framework that parameterizes response styles as person-specific shifts in threshold parameters. This superordinate framework allows us to structure and compare existing approaches to modeling response styles and therewith makes model-implied restrictions explicit. With a simulation study, we show how the new framework allows us to assess consequences of violations of model assumptions and to compare response style estimates across different model parameterizations. The integrative framework of divide-by-total modeling approaches facilitates the correction for and examination of response styles. In addition to providing a superordinate framework for psychometric research, it gives guidance to applied researchers for model selection and specification in psychological assessment. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
各种各样的项目反应理论（IRT）建模方法旨在测量评分数据中的反应风格并进行校正。在此，我们将“除以总分”模型家族的反应风格模型整合到一个上级框架中，该框架将反应风格参数化为阈值参数中因人而异的偏移。这个上级框架使我们能够构建和比较现有的反应风格建模方法，从而使模型隐含的限制变得明确。通过一项模拟研究，我们展示了新框架如何使我们能够评估违反模型假设的后果，并比较不同模型参数化下的反应风格估计值。“除以总分”建模方法的综合框架便于对反应风格进行校正和检验。除了为心理测量研究提供一个上级框架外，它还为应用研究人员在心理评估中的模型选择和设定提供指导。（PsycInfo数据库记录（c）2020美国心理学会，保留所有权利）
