Article
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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Identifiers and source
- Literature Corpus work
- 4033cb9f-0b48-51f0-855a-f429c1f01e31
- DOI
- 10.31234/osf.io/g5sqz_v1
