Psychometric properties of the Fatigue Severity Scale: Rasch analyses of responses in a Norwegian and a Swedish MS cohort
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Background Rigorous testing of the original Fatigue Severity Scale (FSS-9) with modern psychometric methods is warranted. Objective To determine the psychometric properties of the FSS-9 in multiple sclerosis (MS): internal scale validity; person response validity; unidimensionality; uniform differential item functioning; temporal stability of response patterns; and ability to separate people into distinct groups of fatigue. Methods Rasch analyses were conducted on data from a Norwegian and a Swedish MS cohort followed for two years. Results Item estimations in the FSS-9 did not differ between sex or levels of education but between the cohorts with regard to disability, disease course and time for evaluation, however, items 1 and 2 demonstrated unacceptable high outfit mean-square values in both cohorts. In an FSS-7 item version, items 3 and 4 in the Norwegian and 4 in the Swedish cohort demonstrated unacceptable goodness of fit but high separation indexes. In the FSS-7, the first unidimensional factor explained 87.5% (Norwegian cohort) and 86.4% (Swedish cohort) of the total variation. Conclusions In MS, the FSS-7 demonstrates better psychometric properties than the FSS-9; items 1 and 2 neither empirically nor conceptually fit with the other seven items.
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The FSS is a validated 9-item measure; average scores of ≥4 are suggestive of fatigue.
“Fatigue severity was assessed with the Fatigue Severity Scale (FSS)40, a validated 9-item measure; average scores of ≥4 are suggestive of fatigue40–44.”
From Ecological momentary assessment of pain, fatigue, depressive, and cognitive symptoms reveals significant daily variability in multiple sclerosis (2017) · cites this paper as [42]
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Fatigue in multiple sclerosis and its relationship to depression and neurologic disability
Bakshi, R., Shaikh, Z. A., Miletich, R. S., Czarnecki, D., Dmochowski, J., Henschel, K., Janardhan, V, Dubey, N., & Kinkel, P. R. (2000) · Multiple Sclerosis Journal · doi:10.1177/135245850000600308 · Cited by 480 · see citing works
The Sonya Slifka Longitudinal Multiple Sclerosis Study: methods and sample characteristics
Minden, S. L., Frankel, D., Hadden, L., Perloff, J., Srinath, K. P., & Hoaglin, D. C. (2006) · Multiple Sclerosis Journal · doi:10.1191/135248506ms1262oa · Cited by 272 · see citing works
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Kratz, A. L., Murphy, S. L., & Braley, T. J. (2017) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2017.07.002 · Cited by 109 · see citing works
- Authors
- Lerdal, A., Johansson, S., Kottorp, A., & von Koch, L.
- Affiliations
- Oslo University Hospital (NO)
- Karolinska Institutet (SE)
- Division of Neurology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, Division of Occupational Therapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Corresponding author
- Lerdal, A.
- Venue
- Multiple Sclerosis Journal
- Publisher
- SAGE Publications
- Published
- 2010-06
- Volume
- 16
- Issue
- 6
- Pages
- 733-741
- ISSN
- 1352-4585 (ISSN-L)
- 1477-0970
- OpenAlex
- W2145084282
- Cited by
- 55
- References
- 2
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 4 · 2023: 1 · 2022: 3 · 2021: 4 · 2020: 1 · 2019: 2 · 2018: 6 · 2017: 3 · 2016: 5 · 2015: 2 · 2014: 4 · 2013: 4
- FWCI
- 3.04
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Multiple Sclerosis Journal (publishedVersion)
- PubMed (publishedVersion)
- Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Education › Health Education and Validation
- Keywords
- Fatigue Severity Scale, multiple sclerosis, fatigue, psychometric properties, Rasch analysis, unidimensionality, differential item functioning, temporal stability, item fit
- MeSH terms
- Adult, Fatigue, Female, Humans, Male, Middle Aged, Multiple Sclerosis, Norway, Psychometrics, Surveys and Questionnaires, Severity of Illness Index, Sweden, Reproducibility of Results
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