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Content Validation Using Natural Language Processing: A Comparative Examination of Models for Multi-Item and Single-Item Measures

2026-05-05

Abstract excerpt

<p>Content validation, the assessment of whether measurement items adequately capture their intended constructs, is essential to scale development in organizational research but remains resource-intensive when conducted through conventional human-rating procedures. Natural language processing (NLP) offers a scalable complement for estimating definitional correspondence and distinctiveness, yet no study has systema...

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Literature Corpus work
4033cb9f-0b48-51f0-855a-f429c1f01e31
DOI
10.31234/osf.io/g5sqz_v1
Open publication

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Content Validation Using Natural Language Processing: A Comparative Examination of Models for Multi-Item and Single-Item MeasuresDOI 10.31234/osf.io/g5sqz_v1
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