Park Minjeong, Wu Amery D
University of British Columbia, Vancouver, British Columbia, Canada.
Educ Psychol Meas. 2019 Oct;79(5):911-930. doi: 10.1177/0013164419829855. Epub 2019 Feb 15.
Item response tree (IRTree) models are recently introduced as an approach to modeling response data from Likert-type rating scales. IRTree models are particularly useful to capture a variety of individuals' behaviors involving in item responding. This study employed IRTree models to investigate response styles, which are individuals' tendencies to prefer or avoid certain response categories in a rating scale. Specifically, we introduced two types of IRTree models, descriptive and explanatory models, perceived under a larger modeling framework, called explanatory item response models, proposed by De Boeck and Wilson. This extends the typical application of IRTree models for studying response styles. As a demonstration, we applied the descriptive and explanatory IRTree models to examine acquiescence and extreme response styles in Rosenberg's Self-Esteem Scale. Our findings suggested the presence of two distinct extreme response styles and acquiescence response style in the scale.
项目反应树（IRTree）模型是最近引入的一种对李克特式评分量表的反应数据进行建模的方法。IRTree模型对于捕捉个体在项目反应中涉及的各种行为特别有用。本研究采用IRTree模型来调查反应风格，即个体在评分量表中更喜欢或避免某些反应类别的倾向。具体来说，我们引入了两种类型的IRTree模型，描述性模型和解释性模型，它们在一个更大的被称为解释性项目反应模型的建模框架下被理解，该框架由德博克和威尔逊提出。这扩展了IRTree模型在研究反应风格方面的典型应用。作为一个示范，我们应用描述性和解释性的IRTree模型来检验罗森伯格自尊量表中的默许和极端反应风格。我们的研究结果表明该量表中存在两种不同的极端反应风格和默许反应风格。
