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Cited by 290

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

On Construct Validity: Issues of Method and Measurement.

Smith, Gregory T.·2005·Psychological Assessment

Abstract

Fifty years ago, L. J. Cronbach and P. E. Meehl (1955) advocated for the concept of construct validity, noting that psychologists study hypothetical, inferred entities and that validating measures of such entities involves basic theory testing. Three important developments in clinical assessment following that seminal article are noteworthy. First, clinical research has benefited from greater theoretical integration and subsequent differentiation among related constructs. Second, implementation of ongoing, critical evaluation of all aspects of the construct validity process, including theory development, hypothesis specification, research design, and empirical evaluation, has improved clinical assessment. Third, improvement in evaluating fit between hypotheses and observations has been sought. Improved means of evaluating multitrait, multimethod designs, and ways to increase their clinical representativeness, are one encouraging development. Ongoing efforts to improve the construct validity process reflect the legacy of L. J. Cronbach and P. E. Meehl.

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Metadata

Authors
Smith, G. T.
Venue
Psychological Assessment
Published
2005-12
Volume
17
Issue
4
Pages
396-408
ISSN
  • 1040-3590 (ISSN-L)
  • 1939-134X
OpenAlex
W2088162340
Cited by
290
References
13
FWCI
15.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On Construct Validity: Issues of Method and Measurement. https://app.cochat.ai/papers/10.1037/1040-3590.17.4.396
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Smith, G. T. (2005). On Construct Validity: Issues of Method and Measurement. Psychological Assessment. https://doi.org/10.1037/1040-3590.17.4.396

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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.