Swipe om te navigeren naar een ander artikel
To examine the psychometric properties of the 14-item Warwick-Edinburgh Mental Well-being Scale (WEMWBS) in the UK veterinary profession by the application of Rasch analysis, and to assess the external construct validity of the derived interval scale measurements.
Data sets were derived from two independent cross-sectional surveys of the veterinary profession (n = 8,829 and n = 1,796). Rasch analysis (n = 500) included response option thresholds ordering, tests of fit, differential item functioning, targeting, response dependency, and person separation index (PSI). Unidimensionality was evaluated by principal component analysis of residuals. The findings were validated across further subsamples from both data sets. The external construct validity of the Rasch-fitting item set was evaluated by associations with other measures of psychological health or psychosocial work characteristics.
Data for the original 14 items deviated significantly from Rasch model expectations (chi-square = 558.2, df = 112, P = <0.001, PSI = 0.918). A unidimensional 7-item scale (Short WEMWBS, SWEMWBS) with acceptable fit to the model (chi-square = 58.8, df = 56, P = 0.104, PSI = 0.832) was derived by sequential removal of the most misfitting items. The external construct validity of SWEMWBS was supported.
SWEMWBS has robust interval-level measurement properties which support its suitability as an indicator of population mental health and well-being in this occupational group with elevated suicide risk.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
Hobart, J., & Cano, S. (2009). Improving the evaluation of therapeutic interventions in multiple sclerosis: The role of new psychometric methods. Health Technology Assessment, 13(12), iii, ix–x, 1–177.
Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen: Danish Institute for Educational Research.
Leiter, M. P., & Schaufeli, W. B. (1996). Consistency of the burnout structure across occupations. Anxiety, Stress and Coping, 9, 229–243. CrossRef
Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4–70. CrossRef
Robertson-Smith, G., Robinson, D., Hicks, B., Khambhaita, P., & Hayday, S. (2010). The 2010 RCVS survey of the UK veterinary and veterinary nursing professions. Brighton: Institute for Employment Studies. http://www.rcvs.org.uk/publications/rcvs-survey-of-the-professions-2010/surveyprofessions2010.pdf. Accessed February 13, 2012.
Geurts, S. A. E., Taris, T. W., Kompier, M. A. J., Dikkers, J. S. E., van Hooff, M. L. M., & Kinnunen, U. M. (2005). Work-home interaction from a work psychological perspective: Development and validation of a new questionnaire, the SWING. Work & Stress, 19, 319–339. CrossRef
Cousins, R., Mackay, C. J., Clarke, S. D., Kelly, C., Kelly, P. J., & McCaig, R. H. (2004). ‘Management standards’ and work related stress in the UK: Practical development. Work & Stress, 18, 113–136. CrossRef
Singleton, N., Bumpstead, R., O’brien, M., Lee, A., & Meltzer, H. (2001). Psychiatric morbidity among adults living in private households, 2000. London: The Stationery Office.
Lamoureux, E. L., Pesudovs, K., Thumboo, J., Saw, S.-M., & Wong, T. Y. (2009). An evaluation of the reliability and validity of the visual functioning questionnaire (VF-11) using Rasch analysis in an Asian population. Investigative Ophthalmology & Visual Science, 50, 2607–2613. CrossRef
Linacre, J. M. (1994). Sample size and item calibration stability. Rasch Measurement Transactions, 7, 328.
Tennant, A., & Pallant, J. F. (2006). Unidimensionality matters! (A tale of two Smiths?). Rasch Measurement Transactions, 20, 1048–1051.
Andrich, D., Sheridan, B. S., & Luo, G. (2010). RUMM2030: A Windows program for the analysis of data according to Rasch unidimensional models for measurement. Perth, Australia: RUMM Laboratory.
Mcmanus, S., Meltzer, H., Brugha, T. S., Bebbington, P. E., & Jenkins, R. (2009). Adult psychiatric morbidity in England, 2007: Results of a household survey. London: National Centre for Social Research. http://www.ic.nhs.uk/cmsincludes/_process_document.asp?sPublicationID=1231750469828&sDocID=5446. Accessed February 13, 2012.
Stewart-Brown, S., Tennant, A., Tennant, R., Platt, S., & Parkinson, J. (2009). Internal construct validity of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS): A Rasch analysis using data from the Scottish Health Education Population Survey. Health and Quality of Life Outcomes, 7, 15. PubMedCrossRef
Hambleton, R. K., & Swaminathan, H. (1985). Item response theory: Principles and applications. Boston, Massachussets: Kluwer-Nijhoff.
Wright, B. D. (1997). A history of social science and measurement. Educational Measurement: Issues and Practice, 16, 33–45. CrossRef
Bohlig, M., Fisher, W. P., Masters, G. N., & Bond, T. (1998). Content validity and misfitting items. Rasch Measurement Transactions, 12, 607.
Heinemann, A. W., & Deutsch, A. (2011). Commentary on ‘Past and present issues in Rasch analysis: The FIM revisited’. Journal of Rehabilitation Medicine, 43, 958–960. PubMed
Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: Plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Medical Care, 45(Suppl 1), S22–S31. PubMedCrossRef
- Further validation of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS) in the UK veterinary profession: Rasch analysis
David J. Bartram
Julia M. Sinclair
David S. Baldwin
- Springer Netherlands