Construct-irrelevant item attributes: a framework to classifying items based on context and referent
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12 mars 2025
- ISIDORE Id: 10670/1.139c2a...
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article ScholarlyArticle ddc:150 personality measure item content item stems construct-irrelevant items attributes item wordingSujets proches
Scientific research Science research Science--Research Mechanical perspective Linear perspective Architectural perspective Personality traits Personal identity Personology Personality theory Traits, Personality Papers World literature Western literature (Western countries) Belles-lettres Article Construction Architectural engineering Construction Buildings--Design and construction Engineering, Architectural Western architecture (Western countries) Building design Construction Buildings--Design and construction Architecture, Western (Western countries) Biography--Psychology Personality Biography--CharacterCiter ce document
Wahyu Widhiarso et al., « Construct-irrelevant item attributes: a framework to classifying items based on context and referent », Digitale Bibliothek Thüringen, ID : 10670/1.139c2a...
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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.
