The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Construction and Validation of an Alternate Form General Mental Health Scale for the Medical Outcomes Study Short-Form 36-ltem Health Survey
Abstract
Alternate-form health measures are useful for clinical trials or health services research requiring repeated administrations over a short interval of time. Further, by using alternate-form methodology, they can be utilized to estimate score reliability. Data from the Medical Outcomes Study were used to evaluate five alternate forms of the Short-Form 36-Item Health Survey (SF-36) general mental health scale (MHI-5). Well-established psychometric criteria were used to select the best alternate form and to estimate the reliability of the MHI-5 using the alternate-form methodology. Although a considerable degree of comparability across the five alternate forms was observed for criteria pertaining to estimates of item-internal consistency and reliability, distributional characteristics of scales, tests of empirical validity, and score equivalence at the individual level, we recommend one alternate form that satisfied all evaluation criteria and did so better than any other alternate form. Using the alternate-form methodology of estimating reliability, results suggest that the internal-consistency method underestimates the reliability of the MHI-5 by 3%. The methodology presented here should prove useful to others interested in constructing and evaluating alternate forms, and the alternate form recommended here (MHI-5AF) should prove useful across many health status assessment applications.
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STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
McHorney, C. A., Ware, J. E., Rachel Lu, J. F., & Sherbourne, C. D. (1994) · Medical Care · doi:10.1097/00005650-199401000-00004 · Cited by 4,458
Self-citationThe MOS Short-form General Health Survey: Reliability and Validity in a Patient Population
Stewart, A. L., Hays, R. D., & Ware, J. E. (1988) · Medical Care · doi:10.1097/00005650-198807000-00007 · Cited by 3,339
Self-citationPerformance of a Five-Item Mental Health Screening Test
Berwick, D. M., Murphy, J. M., Goldman, P. A., Ware, J. E., Barsky, A. J., & Weinstein, M. C. (1991) · Medical Care · doi:10.1097/00005650-199102000-00008 · Cited by 1,660
Self-citationMental health, alcohol and drug use, and criminal history among homeless adults
(1988) · American Journal of Psychiatry · doi:10.1176/ajp.145.2.191 · Cited by 208
Cited by
Ware, J. E. (2000) · Spine · doi:10.1097/00007632-200012150-00008 · Cited by 4,455
Self-citationDevelopment of the 25-list-item National Eye Institute Visual Function Questionnaire
Mangione, C. M. (2001) · Archives of Ophthalmology · doi:10.1001/archopht.119.7.1050 · Cited by 2,230
Validity of a single-item measure of stress symptoms
Elo, A.-L., Leppänen, A., & Jahkola, A. (2003) · Scandinavian Journal of Work, Environment & Health · doi:10.5271/sjweh.752 · Cited by 900
Construction and initial validation of the Gendered Racial Microaggressions Scale for Black women.
Lewis, J. A., & Neville, H. A. (2015) · Journal of Counseling Psychology · doi:10.1037/cou0000062 · Cited by 468
Wenzel, L. B., Donnelly, J. P., Fowler, J. M., Habbal, R., Taylor, T. H., Aziz, N., & Cella, D. (2002) · Psycho-Oncology · doi:10.1002/pon.567 · Cited by 277
Metadata
- Authors
- MCHORNEY, C. A., & WARE, J. E.
- Venue
- Medical Care
- Published
- 1995-01
- Volume
- 33
- Issue
- 1
- Pages
- 15-28
- ISSN
- 0025-7079 (ISSN-L)
- OpenAlex
- W2082868124
- Cited by
- 260
- References
- 5
- FWCI
- 6.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- MCHORNEY, C. A., & WARE, J. E. (1995). Construction and Validation of an Alternate Form General Mental Health Scale for the Medical Outcomes Study Short-Form 36-ltem Health Survey. Medical Care. https://doi.org/10.1097/00005650-199501000-00002
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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