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The Leeds Multiple Sclerosis Quality of Life (LMSQOL) scale was designed as an 8-item, unidimensional disease-targeted measure of quality of life (QOL). This study (1) tested the unidimensionality of the LMSQOL using confirmatory factor analysis (CFA) and (2) examined the construct validity of scores based on a nomological network.
The sample (N = 292) included persons with multiple sclerosis (MS) who were recruited from the Midwest region of the USA. Participants completed questionnaires that were delivered and returned using US Postal Service. We tested the fit of a single-factor model for the LMSQOL using CFA with the diagonally weighted least squares estimator in R. We examined the construct validity of the LMSQOL scores using Spearman rank-order correlations (r s) in SPSS.
The single-factor model had a reasonable fit for the 8-item LMSQOL [χ 2 (20) = 83.19, p < .001, CFI = .97, SRMR = .07], but provided an excellent fit for a 7-item version of the LMSQOL [χ 2 (14) = 23.63, p > .05, CFI = .99, SRMR = .05]. LMSQOL scores demonstrated strong correlations with measures of psychological well-being (|r s| = .53–.74) and weak-to-moderate correlations with measures of physical functioning and disability (|r s| = .23–.57).
The unidimensional model provides a good fit for the LMSQOL, and its scores provide a valid measure of QOL in MS.
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Bandari, D. S., Vollmer, T. L., Khatri, B. O., & Tyry, T. (2010). Assessing quality of life in patients with multiple sclerosis. International Journal of MS Care, 12(1), 34–41. CrossRef
Baumstarck, K., Boyer, L., Boucekine, M., Michel, P., Pelletier, J., & Auquier, P. (2013). Measuring the quality of life in patients with multiple sclerosis in clinical practice: A necessary challenge. Multiple Sclerosis International, 524894, 8. doi: 10.1155/2013/524894.
Pavot, W., & Diener, E. (1993). Review of the satisfaction with life scale. Psychological Assessment, 5(2), 164–172. CrossRef
Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational measurement (3rd ed.). New York: Macmillan.
Landy, F. J. (1986). Stamp collecting versus science: Validation as hypothesis testing. American Psychologist, 41(11), 1183–1192. CrossRef
Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychol Bulletin, 52(4), 281–302. CrossRef
Motl, R. W., McAuley, E., Snook, E. M., & Gliottoni, R. C. (2009). Physical activity and quality of life in multiple sclerosis: Intermediary roles of disability, fatigue, mood, pain, self-efficacy, and social support. Psychology Health and Medicine, 14, 111–124. CrossRef
Godin, G., & Shephard, R. J. (1985). A simple method to assess exercise behavior in the community. Canadian Journal of Applied Sport Sciences, 10, 141–146.
Yves, R. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36.
R Core Team. (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/
Mîndrilă, D. (2010). Maximum likelihood (ML) and diagonally weighted least squares (DWLS) estimation procedures: A comparison of estimation bias with ordinal and multivariate non-normal data. International Journal of Digital Society, 1(1), 60–66.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. CrossRef
Hayduk, L. (2014). Seeing perfectly fitting factor models that are causally misspecified: Understanding that close-fitting models can be worse. Educational and Psychological Measurement, 74(6), 905–926. CrossRef
Hayduk, L. A. (2014). Shame for disrespecting evidence: The personal consequences of insufficient respect for structural equation model testing. BMC Medical Research Methodology, 14(1), 1–17. CrossRef
- Structural and construct validity of the Leeds Multiple Sclerosis Quality of Life scale
Robert W. Motl
- Springer International Publishing