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Incremental Validity of New Clinical Assessment Measures.

Haynes, Stephen N., Lench, Heather C.·2003·Psychological Assessment

Abstract

The authors address conceptual and methodological foundations of incremental validity in the evaluation of newly developed clinical assessment measures. Incremental validity is defined as the degree to which a measure explains or predicts a phenomenon of interest, relative to other measures. Incremental validity can be evaluated on several dimensions, such as sensitivity to change, diagnostic efficacy, content validity, treatment design and outcome, and convergent validity. Indices of incremental validity can vary depending on the criterion measures, comparison measures, and individual differences in samples. The authors review the rationale for, principles, and methods of incremental validation, including the selection of comparison and criterion measures, and address data analytic strategies and the conditional nature of incremental validity evaluations in the selection of measures. Incremental validity contributes to, but is different from, cost-benefits, which reflect the cost of acquiring the data and the benefits from the data. The impact of an incremental validity index on whether a measure is selected will be moderated by the cost of acquiring the new data, the importance of the measured phenomenon, and the clinical utility of the new data.

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Metadata

Authors
Haynes, S. N., & Lench, H. C.
Venue
Psychological Assessment
Published
2003-12
Volume
15
Issue
4
Pages
456-466
ISSN
  • 1040-3590 (ISSN-L)
  • 1939-134X
OpenAlex
W2103242737
Cited by
324
References
4
FWCI
13.99
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Incremental Validity of New Clinical Assessment Measures. https://app.cochat.ai/papers/10.1037/1040-3590.15.4.456
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Haynes, S. N., & Lench, H. C. (2003). Incremental Validity of New Clinical Assessment Measures. Psychological Assessment. https://doi.org/10.1037/1040-3590.15.4.456

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.