The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Incremental Validity of New Clinical Assessment Measures.
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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Cites
Content validity in psychological assessment: A functional approach to concepts and methods.
Haynes, S. N., Richard, D. C. S., & Kubany, E. S. (1995) · Psychological Assessment · doi:10.1037//1040-3590.7.3.238 · Cited by 2,387 · cited 1×
“The failure of an instrument to cover all facets of a multifaceted construct, the representativeness of items (one aspect of content validity, Haynes et al., 1995), is a forceful rationale for the development of a new measure (Strom et al., 1987).”
BackgroundSelf-citationIncremental Validity Principles in Test Construction.
Smith, G. T., Fischer, S., & Fister, S. M. (2003) · Psychological Assessment · doi:10.1037/1040-3590.15.4.467 · Cited by 205 · cited 4×
“This process presumably results in a homogeneous, internally consistent, and robust measure that taps the intended construct with minimal error (see Smith et al., 2003, for recommendations regarding instrument development).”
BackgroundInfluentialThe Predictive Validity of Parent and Teacher Reports of ADHD Symptoms
Power, T. J., Doherty, B. J., Panichelli-Mindel, S. M., Karustis, J. L., Eiraldi, R. B., Anastopoulos, A. D., & DuPaul, G. J. (1998) · Journal of Psychopathology and Behavioral Assessment · doi:10.1023/a:1023035426642 · Cited by 108
Floyd, F. J., O'Farrell, T. J., & Goldberg, M. (1987) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.55.3.2200 · Cited by 34
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Baer, R. A., Smith, G. T., Hopkins, J., Krietemeyer, J., & Toney, L. (2006) · Assessment · doi:10.1177/1073191105283504 · Cited by 7,511
Hoch, J. E., Bommer, W. H., Dulebohn, J. H., & Wu, D. (2018) · Journal of Management · doi:10.1177/0149206316665461 · Cited by 1,364
The development and initial validation of the cognitive fusion questionnaire
Gillanders, D. T., Bolderston, H., Bond, F. W., Dempster, M., Flaxman, P. E., Campbell, L., Kerr, S., Tansey, L., Noel, P., Ferenbach, C., et al. (2014) · Behavior Therapy · doi:10.1016/j.beth.2013.09.001 · Cited by 837
Netemeyer, R. G., Warmath, D., Fernandes, D., & Lynch, J. G. (2018) · Journal of Consumer Research · doi:10.1093/jcr/ucx109 · Cited by 842
Adler, J. M., Lodi-Smith, J., Philippe, F. L., & Houle, I. (2016) · Personality and Social Psychology Review · doi:10.1177/1088868315585068 · Cited by 618
Madigan, S., Bakermans-Kranenburg, M. J., Van Ijzendoorn, M. H., Moran, G., Pederson, D. R., & Benoit, D. (2006) · Attachment & Human Development · doi:10.1080/14616730600774458 · Cited by 493
Sulea, C., van Beek, I., Sarbescu, P., Virga, D., & Schaufeli, W. B. (2015) · Learning and Individual Differences · doi:10.1016/j.lindif.2015.08.018 · Cited by 221
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Gloster, A. T., Klotsche, J., Chaker, S., Hummel, K. V., & Hoyer, J. (2011) · Psychological Assessment · doi:10.1037/a0024135 · Cited by 206
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Sansone, S. M., Schneider, A., Bickel, E., Berry-Kravis, E., Prescott, C., & Hessl, D. (2014) · Journal of Neurodevelopmental Disorders · doi:10.1186/1866-1955-6-16 · Cited by 148
Canivez, G. L., Konold, T. R., Collins, J. M., & Wilson, G. (2009) · School Psychology Quarterly · doi:10.1037/a0018030 · Cited by 131
Glutting (2006) · doi:10.1177/00224669060400020101 · Cited by 122
Feldner, M. T., Zvolensky, M. J., Babson, K., Leen-Feldner, E. W., & Schmidt, N. B. (2008) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2008.01.005 · Cited by 94
Spinhoven, P., Drost, J., de Rooij, M., van Hemert, A. M., & Penninx, B. W. J. H. (2016) · Cognitive Therapy and Research · doi:10.1007/s10608-015-9747-8 · Cited by 76
Reynolds Adolescent Depression Scale-second edition: a reliable and useful instrument
Osman, A., Gutierrez, P. M., Bagge, C. L., Fang, Q., & Emmerich, A. (2010) · Journal of Clinical Psychology · doi:10.1002/jclp.20727 · Cited by 62
Canivez, G. L., Watkins, M. W., James, T., Good, R., & James, K. (2014) · British Journal of Educational Psychology · doi:10.1111/bjep.12056 · Cited by 38
The utility of the Valuing Questionnaire in Chronic Pain
Carvalho, S. A., Palmeira, L., Pinto-Gouveia, J., Gillanders, D., & Castilho, P. (2018) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2018.06.002 · Cited by 30
Hasebrook, J. P., Michalak, L., Kohnen, D., Metelmann, B., Metelmann, C., Brinkrolf, P., Flessa, S., & Hahnenkamp, K. (2023) · PLOS ONE · doi:10.1371/journal.pone.0280956 · Cited by 19
Fishbein, J. N., Baer, R. A., Correll, J., & Arch, J. J. (2022) · Assessment · doi:10.1177/1073191120980061 · Cited by 14
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Broman-Fulks, J. J., Bergquist, J. J., Hall, C. A., Thomas, K., & Kelso, K. C. (2023) · Journal of Cognitive Psychotherapy · doi:10.1891/jcpsy-d-20-00056
Bansal, S., Kumar, D., & Garg, N. (2026) · International Journal of Conflict Management · doi:10.1108/ijcma-06-2025-0186
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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