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与结构无关的项目属性:一种基于上下文和参照对项目进行分类的框架。

Construct-irrelevant item attributes: a framework to classifying items based on context and referent.

作者信息

Widhiarso Wahyu, Steyer Rolf, Perossa Andrew

机构信息

Institute of Psychology, Friedrich-Schiller University of Jena, Jena, Germany.

Department of Psychology, Universitas Gadjah Mada, Yogyakarta, Indonesia.

出版信息

Front Psychol. 2025 Mar 12;16:1446798. doi: 10.3389/fpsyg.2025.1446798. eCollection 2025.

Abstract

Construct-irrelevant items attributes (CIIAs) are characteristics of psychometric scale items that relate to how item stems are worded, rather than the construct they measure. For instance, an item can be framed from a first-hand (e.g., "How would you describe yourself?") or second-hand (e.g., "How would others describe you?") perspective. These attributes meaningfully change the way respondents interpret and answer scale items, so knowing what they are and how they impact data is essential to the construction of valid scales. The present paper serves as a taxonomy of known CIIAs and offers general suggestions on their use. Through this review, we hope to both introduce scale users to the intricacies of item design and offer experienced scale developers a much-needed resource on the types and uses of CIIAs. In doing so, we aim to contribute to the development of more effective, valid scales. We also aim to unify the research literature on item attributes under one taxonomy, to the benefit of scale developers and researchers alike.

摘要

与结构无关的项目属性(CIIAs)是心理测量量表项目的特征,这些特征与项目题干的措辞方式有关,而非与它们所测量的结构有关。例如,一个项目可以从第一人称视角(如“你会如何描述自己?”)或第二人称视角(如“其他人会如何描述你?”)来构建。这些属性会显著改变受访者解释和回答量表项目的方式,因此了解它们是什么以及它们如何影响数据对于构建有效的量表至关重要。本文作为已知CIIAs的分类法,并就其使用提供一般性建议。通过这一综述,我们希望既能让量表使用者了解项目设计的复杂性,又能为经验丰富的量表开发者提供一份关于CIIAs的类型和用途的急需资源。通过这样做,我们旨在为开发更有效、更有效的量表做出贡献。我们还旨在将关于项目属性的研究文献统一在一个分类法之下,以造福量表开发者和研究人员。

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