Measuring Recovery Related Outcomes: A Psychometric Investigation of the Recovery Markers Inventory

详细信息    查看全文

• 作者：Kate DeRoche Lusczakoski (1)
  P. Antonio Olmos-Gallo (2)
  C. J. McKinney (3)
  Roy Starks (3)
  Steve Huff (3)
  
• 关键词：Mental health recovery ; Psychometrics ; Mental health outcomes ; Community mental health
• 刊名：Community Mental Health Journal
• 出版年：2014
• 出版时间：November 2014
• 年：2014
• 卷：50
• 期：8
• 页码：896-902
• 全文大小：257 KB
• 参考文献：1. Anthony, W. A. (2000). A recovery-oriented service system: Setting some system standards. / Psychiatric Rehabilitation Journal, / 24(2), 159-68. CrossRef
  2. Bentler, P. M. (1990). Comparative fit indexes in structural equation modeling. / Quantitative Methods in Psychology, / 107, 238-46.
  3. Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. / Psychological Bulletin, / 88, 588-06. CrossRef
  4. Bollen, K. A. (1989). / Structural equations with latent variables. New York, NY: Wiley. CrossRef
  5. Bond, T. G., & Fox, C. M. (2001). / Applying the Rasch model: Fundamental measurement in human sciences. Mahwah, NJ: Lawrence Erlbaum Associates.
  6. Davidson, L., & Roe, D. (2007). Recovery from versus recovery in serious mental illness: One strategy for lessening confusion plaguing recovery. / Journal of Mental Health, / 16, 459-70. CrossRef
  7. Ellis, R. H., Wilson, N. Z., & Foster, M. F. (1984). Statewide treatment outcomes assessment in Colorado: The Colorado Assessment Record. / Community Mental Health Journal, / 20, 72-9. CrossRef
  8. Farkas, M., Gagne, C., Anthony, W., & Chamberlin, J. (2005). Implementing recovery oriented evidence based programs: Identifying the critical dimensions. / Community Mental Health Journal, / 41(2), 141-57. CrossRef
  9. Fisher, D., Pilon, D., Hershberger, S., Reynolds, G., LaMaster, S., & Davis, M. (2009). Psychometric properties of an assessment for mental health recovery programs. / Community Mental Health Journal, / 45(4), 246-50. doi:10.1007/s10597-009-9213-8 . CrossRef
  10. Greenberg, G. A., & Rosenheck, R. A. (2005). Using the GAF as a national mental health outcome measure in the Department of Veterans Affairs. / Psychiatric Services, / 56, 420-26. CrossRef
  11. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structural analysis: Conventional criteria versus new alternatives. / Structural Equation Modeling, / 6, 1-5. CrossRef
  12. Jacobson, N., & Curtis, L. (2000). Recovery as policy in mental health services: Strategies emerging form the states. / Psychiatric Rehabilitation Journal, / 23(4), 333-41. CrossRef
  13. Jones, S. H., Thornicroft, G., Coffey, M., & Dunn, G. (1995). A brief mental health outcome scale-reliability and validity of the Global Assessment of Functioning (GAF). / The British Journal of Psychiatry, / 166(5), 654-59. doi:10.1192/bjp.166.5.654 . CrossRef
  14. J?reskog, K. G., & S?rbom, D. (2006). / LISREL ^{/ ?} / 8: User’s reference guide. Chicago, IL: Scientific Software International.
  15. Linacre, J. M. (2007). / Winsteps ^{/ ?} / Rasch measurement computer program. Beaverton, OR: Winsteps.com.
  16. Lusczakoski, K. D., Olmos-Gallo, P. A. Milnor, W., & McKinney, C. J. (2013). Measuring mental health recovery: An application of Rasch modeling to the consumer recovery measure. Manuscript submitted for publication.
  17. MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. / Psychological Methods, / 1, 130-49. CrossRef
  18. Mahalik, J. (2014). Personal communication, February 13.
  19. McLean, C., Olmos-Gallo, P. A., & McKinney, C. J. (2010, November). / The perfect couple, / clinical quality and program outcomes: Using data to improve clinical pract
• 作者单位：Kate DeRoche Lusczakoski (1)
  P. Antonio Olmos-Gallo (2)
  C. J. McKinney (3)
  Roy Starks (3)
  Steve Huff (3)
  
  1. Accelrys, San Diego, CA, USA
  2. Morgridge College of Education, University of Denver, Denver, CO, USA
  3. Mental Health Center of Denver, Denver, CO, USA
  
• ISSN：1573-2789

文摘

The concept of recovery can be operationalized from either the point of view of the consumer or from the perspective of the provider of services. The Recovery Markers Inventory (RMI) was created to assess recovery-related factors (i.e., actions/events associated with consumer’s recovery) from the provider’s perspective. Evidence, which established the psychometric properties of the RMI, was obtained through the use of: (a) construct validity (i.e., confirmatory factor analysis and Rasch principal components analysis of residuals); (b) concurrent validity (i.e., the calculation of Pearson correlations between the RMI and other recovery-oriented instruments); and (c) reliability (i.e., Rasch Partial Credit models). Evidence presented in this article shows that the RMI scale is unidimensional, has an adequate level of correlation, and acceptable reliability. The current analysis provides evidence to support the RMI as a valid, reliable measure of recovery-related factors, which can complement consumer based instruments in the assessment of changes in recovery.