Skip to main content

Welkom bij Scalda & Bohn Stafleu van Loghum

Scalda heeft ervoor gezorgd dat je Mijn BSL eenvoudig en snel kunt raadplegen.Je kunt de producten hieronder links aanschaffen en rechts inloggen.

Registreer

Schaf de BSL Academy aan: 

BSL Academy mbo AG

Eenmaal aangeschaft kun je thuis, of waar ook ter wereld toegang krijgen tot Mijn BSL.

Heb je een vraag, neem dan contact op met Jan van der Velden.

Login

Als u al geregistreerd bent, hoeft u alleen maar in te loggen om onbeperkt toegang te krijgen tot Mijn BSL.

Top

06-03-2025

Development of self-report measures of physical, mental, and emotional fatigability: the michigan fatigability index (MIFI)

Auteurs: Anna L. Kratz, Noelle E. Carlozzi, Susan L. Murphy, Tiffany J. Braley, Daniel Whibley, David A. Williams, Nora E. Fritz, Michael Kallen

Gepubliceerd in: Quality of Life Research

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Purpose

To develop item banks and static short-forms for a patient reported outcome measure of perceived physical, mental, and emotional fatigability–the Michigan Fatigability Index (MIFI).

Methods

Building on earlier qualitative work, this study utilized cognitive interviews in samples representing the general adult population across the lifespan, people with multiple sclerosis (MS), or people with fibromyalgia (FM) to develop initial item pools. A nationwide cross-sectional survey study in MS and FM samples was used to field test items to develop item banks.

Results

Exploratory and confirmatory factors analyses indicated single underlying dimensions for each of the MIFI subdomains, and a graded response model (GRM) supported item fit of 42, 28, and 23 items to the physical, mental, and emotional fatigability items banks, respectively. Differential item functioning was not detected for age, condition (FM vs. MS), education level, ethnicity, race, or sex. Expert review and GRM calibration data was used to inform the selection of three 6-item short forms that assess physical, mental, and emotional fatigability and to program associated computer adaptive tests.

Conclusion

The MIFI shows initial evidence of good psychometric properties. Users can administer the MIFI as a static short form and efforts are underway to provide access to the measure as a computer adaptive test. T-Score scale conversion allows comparison of individual scores to a normative clinical sample with a wide range of fatigability.
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
go back to reference Lerdal, A., et al. (2005). Fatigue in the general population: A translation and test of the psychometric properties of the Norwegian version of the fatigue severity scale. Scand Joornal Public Health, 33(2), 123–130.CrossRef Lerdal, A., et al. (2005). Fatigue in the general population: A translation and test of the psychometric properties of the Norwegian version of the fatigue severity scale. Scand Joornal Public Health, 33(2), 123–130.CrossRef
2.
go back to reference Hadjimichael, O., et al. (2008). Fatigue characteristics in multiple sclerosis: The north american research committee on multiple sclerosis (NARCOMS) survey. Health Quality Life Outcomes, 6, 100.CrossRef Hadjimichael, O., et al. (2008). Fatigue characteristics in multiple sclerosis: The north american research committee on multiple sclerosis (NARCOMS) survey. Health Quality Life Outcomes, 6, 100.CrossRef
4.
6.
go back to reference Krupp, L. B., et al. (1989). The fac4tigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Archives Neurol., 46(10), 1121–1123.CrossRef Krupp, L. B., et al. (1989). The fac4tigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Archives Neurol., 46(10), 1121–1123.CrossRef
7.
go back to reference Fisk, J. D., et al. (1994). The impact of fatigue on patients with multiple sclerosis. Canadian Journal of Neurological Sciences, 21(1), 9–14.CrossRef Fisk, J. D., et al. (1994). The impact of fatigue on patients with multiple sclerosis. Canadian Journal of Neurological Sciences, 21(1), 9–14.CrossRef
8.
go back to reference Tyson, S. F., & Brown, P. (2014). How to measure fatigue in neurological conditions? A systematic review of psychometric properties and clinical utility of measures used so far. Clinical Rehabilitation, 28(8), 804–816.PubMedCrossRef Tyson, S. F., & Brown, P. (2014). How to measure fatigue in neurological conditions? A systematic review of psychometric properties and clinical utility of measures used so far. Clinical Rehabilitation, 28(8), 804–816.PubMedCrossRef
9.
go back to reference Machado, M. O., et al. (2021). Measuring fatigue: A meta-review. International Journal of Dermatology, 60(9), 1053–1069.PubMedCrossRef Machado, M. O., et al. (2021). Measuring fatigue: A meta-review. International Journal of Dermatology, 60(9), 1053–1069.PubMedCrossRef
10.
go back to reference Kratz, A. L., et al. (2016). The PROMIS fatiguefm profile: A self-report measure of fatigue for use in fibromyalgia. Quality of Life Research, 25(7), 1803–1813.PubMedPubMedCentralCrossRef Kratz, A. L., et al. (2016). The PROMIS fatiguefm profile: A self-report measure of fatigue for use in fibromyalgia. Quality of Life Research, 25(7), 1803–1813.PubMedPubMedCentralCrossRef
11.
go back to reference Eldadah, B. A. (2010). Fatigue and fatigability in older adults. PM & R, 2(5), 406–413.CrossRef Eldadah, B. A. (2010). Fatigue and fatigability in older adults. PM & R, 2(5), 406–413.CrossRef
12.
go back to reference Enoka, R. M. (1995). Mechanisms of muscle fatigue: Central factors and task dependency. Journal of Electromyography and Kinesiology, 5(3), 141–149.PubMedCrossRef Enoka, R. M. (1995). Mechanisms of muscle fatigue: Central factors and task dependency. Journal of Electromyography and Kinesiology, 5(3), 141–149.PubMedCrossRef
13.
go back to reference Stokes, M. J., Cooper, R. G., & Edwards, R. H. (1988). Normal muscle strength and fatigability in patients with effort syndromes. BMJ, 297(6655), 1014–1017.PubMedPubMedCentralCrossRef Stokes, M. J., Cooper, R. G., & Edwards, R. H. (1988). Normal muscle strength and fatigability in patients with effort syndromes. BMJ, 297(6655), 1014–1017.PubMedPubMedCentralCrossRef
14.
go back to reference Kluger, B. M., Krupp, L. B., & Enoka, R. M. (2013). Fatigue and fatigability in neurologic illnesses: Proposal for a unified taxonomy. Neurology, 80(4), 409–416.PubMedPubMedCentralCrossRef Kluger, B. M., Krupp, L. B., & Enoka, R. M. (2013). Fatigue and fatigability in neurologic illnesses: Proposal for a unified taxonomy. Neurology, 80(4), 409–416.PubMedPubMedCentralCrossRef
15.
go back to reference Enoka, R. M., et al. (2021). Distinguishing between fatigue and fatigability in multiple sclerosis. Neurorehabilitation and Neural Repair, 35(11), 960–973.PubMedCrossRef Enoka, R. M., et al. (2021). Distinguishing between fatigue and fatigability in multiple sclerosis. Neurorehabilitation and Neural Repair, 35(11), 960–973.PubMedCrossRef
17.
go back to reference Moored, K. D., et al. (2021). Life-space mobility in older men: The role of perceived physical and mental fatigability. Journal Gerontology A Biology Science Medicine Science, 77, 2329–2335.CrossRef Moored, K. D., et al. (2021). Life-space mobility in older men: The role of perceived physical and mental fatigability. Journal Gerontology A Biology Science Medicine Science, 77, 2329–2335.CrossRef
18.
go back to reference Glynn, N. W., et al. (2015). The pittsburgh fatigability scale for older adults: Development and validation. Journal of the American Geriatrics Society, 63(1), 130–135.PubMedCrossRef Glynn, N. W., et al. (2015). The pittsburgh fatigability scale for older adults: Development and validation. Journal of the American Geriatrics Society, 63(1), 130–135.PubMedCrossRef
19.
go back to reference Yang, C. M., & Wu, C. H. (2005). The situational fatigue scale: A different approach to measuring fatigue. Quality of Life Research, 14(5), 1357–1362.PubMedCrossRef Yang, C. M., & Wu, C. H. (2005). The situational fatigue scale: A different approach to measuring fatigue. Quality of Life Research, 14(5), 1357–1362.PubMedCrossRef
20.
go back to reference Kratz, A. L., et al. (2019). Development of a person-centered conceptual model of perceived fatigability. Quality of Life Research, 28(5), 1337–1347.PubMedPubMedCentralCrossRef Kratz, A. L., et al. (2019). Development of a person-centered conceptual model of perceived fatigability. Quality of Life Research, 28(5), 1337–1347.PubMedPubMedCentralCrossRef
22.
go back to reference Cella, D., et al. (2011). The neurology quality-of-life measurement initiative. Archives of Physical Medicine and Rehabilitation, 92(10 Suppl), S28-36.PubMedPubMedCentralCrossRef Cella, D., et al. (2011). The neurology quality-of-life measurement initiative. Archives of Physical Medicine and Rehabilitation, 92(10 Suppl), S28-36.PubMedPubMedCentralCrossRef
23.
go back to reference Willis, G.B., Cognitive interviewing: A tool for improving questionnaire design. 2005, Thousand Oaks, CA: Sage Publications Willis, G.B., Cognitive interviewing: A tool for improving questionnaire design. 2005, Thousand Oaks, CA: Sage Publications
24.
go back to reference Bonomi, A. E., et al. (1996). Multilingual translation of the functional assessment of cancer therapy (FACT) quality of life measurement system. Quality of Life Research, 5(3), 309–320.PubMedCrossRef Bonomi, A. E., et al. (1996). Multilingual translation of the functional assessment of cancer therapy (FACT) quality of life measurement system. Quality of Life Research, 5(3), 309–320.PubMedCrossRef
25.
go back to reference Qualtrics. Qualtrics security white paper: Why should i trust qualtrics with my sensitive data? [pdf]. 2011 July 3, 2014]; Version 1.0: Qualtrics. Qualtrics security white paper: Why should i trust qualtrics with my sensitive data? [pdf]. 2011 July 3, 2014]; Version 1.0:
26.
go back to reference Wolfe, F., et al. (2011). Fibromyalgia criteria and severity scales for clinical and epidemiological studies: A modification of the ACR Preliminary diagnostic criteria for fibromyalgia. Journal of Rheumatology, 38(6), 1113–1122.PubMedCrossRef Wolfe, F., et al. (2011). Fibromyalgia criteria and severity scales for clinical and epidemiological studies: A modification of the ACR Preliminary diagnostic criteria for fibromyalgia. Journal of Rheumatology, 38(6), 1113–1122.PubMedCrossRef
27.
go back to reference Brummett, C. M., et al. (2011). The michigan body map and its use in assessing the american college of rheumatology survey criteria for fibromyalgia. Arthritis and Rheumatism, 62(10 supplement), S744. Brummett, C. M., et al. (2011). The michigan body map and its use in assessing the american college of rheumatology survey criteria for fibromyalgia. Arthritis and Rheumatism, 62(10 supplement), S744.
28.
go back to reference Wolfe, F., et al. (2016). 2016 revisions to the 2010/2011 fibromyalgia diagnostic criteria. Seminars in Arthritis and Rheumatism, 46(3), 319–329.PubMedCrossRef Wolfe, F., et al. (2016). 2016 revisions to the 2010/2011 fibromyalgia diagnostic criteria. Seminars in Arthritis and Rheumatism, 46(3), 319–329.PubMedCrossRef
30.
go back to reference Samejima, F., W.J. van der Liden, and R. Hambleton, The graded response model., in Handbook of modern item response theory, W.J. van der Liden, Editor. 1996, Springer: NY, NY. p. 85–100. Samejima, F., W.J. van der Liden, and R. Hambleton, The graded response model., in Handbook of modern item response theory, W.J. van der Liden, Editor. 1996, Springer: NY, NY. p. 85–100.
31.
go back to reference Bryant, F. B., & Yarnold, P. R. (1995). Principal components analysis and exploratory and confirmatory factor analysis. In L. G. Grimm & R. R. Yarnold (Eds.), Reading and understanding multivariate statistics (pp. 99–136). American Psychological Association. Bryant, F. B., & Yarnold, P. R. (1995). Principal components analysis and exploratory and confirmatory factor analysis. In L. G. Grimm & R. R. Yarnold (Eds.), Reading and understanding multivariate statistics (pp. 99–136). American Psychological Association.
32.
go back to reference Everitt, B.S., Multivariate analysis: The need for data, and other problems. British Journal of Psychiatry, 1975. 126: p. 2S7–240. Everitt, B.S., Multivariate analysis: The need for data, and other problems. British Journal of Psychiatry, 1975. 126: p. 2S7–240.
33.
go back to reference Gorsuch, R. L., & Analysis, F. (1983). Hillsdale. Lawrence Erlbaum Associates. Gorsuch, R. L., & Analysis, F. (1983). Hillsdale. Lawrence Erlbaum Associates.
34.
go back to reference Clauser, B. E., & Hambleton, R. K. (1994). Review of differential item functioning. Journal of Educational Measurement, 31(1), 88–92. Clauser, B. E., & Hambleton, R. K. (1994). Review of differential item functioning. Journal of Educational Measurement, 31(1), 88–92.
35.
go back to reference Choi, S. W., Cook, K. F., & Dodd, B. G. (1997). Parameter recovery for the partial credit model using MULTILOG. Journal of Outcome Measurement, 1(2), 114–142.PubMed Choi, S. W., Cook, K. F., & Dodd, B. G. (1997). Parameter recovery for the partial credit model using MULTILOG. Journal of Outcome Measurement, 1(2), 114–142.PubMed
36.
go back to reference Linacre, J. M. (1999). Investigating rating scale category utility. Journal of Outcome Measurement, 3(2), 103–122.PubMed Linacre, J. M. (1999). Investigating rating scale category utility. Journal of Outcome Measurement, 3(2), 103–122.PubMed
37.
go back to reference Linacre, J. M. (2002). Optimizing rating scale category effectiveness. Journal of Applied Measurement, 3(1), 85–106.PubMed Linacre, J. M. (2002). Optimizing rating scale category effectiveness. Journal of Applied Measurement, 3(1), 85–106.PubMed
38.
go back to reference Edelen, M. O., & Reeve, B. B. (2007). Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Quality of Life Research, 16(Suppl 1), 5–18.PubMedCrossRef Edelen, M. O., & Reeve, B. B. (2007). Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Quality of Life Research, 16(Suppl 1), 5–18.PubMedCrossRef
39.
go back to reference Hays, R.D., L.S. Morales, and S.P. Reise, Item response theory and health outcomes measurement in the 21st century. Med Care, 2000. 38(9 Suppl): II28–42. Hays, R.D., L.S. Morales, and S.P. Reise, Item response theory and health outcomes measurement in the 21st century. Med Care, 2000. 38(9 Suppl): II28–42.
40.
go back to reference Reise, S. P., & Haviland, M. G. (2005). Item response theory and the measurement of clinical change. Journal of Personality Assessment, 84(3), 228–238.PubMedCrossRef Reise, S. P., & Haviland, M. G. (2005). Item response theory and the measurement of clinical change. Journal of Personality Assessment, 84(3), 228–238.PubMedCrossRef
41.
go back to reference Muthen, L.K. and B.O. Muthen, MPlus User's Guide. 8th ed. 1998–2017, Los Angeles, CA: Muthen & Muthen. Muthen, L.K. and B.O. Muthen, MPlus User's Guide. 8th ed. 1998–2017, Los Angeles, CA: Muthen & Muthen.
42.
go back to reference Hu, L.-T., & Bentler, P. M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.CrossRef Hu, L.-T., & Bentler, P. M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.CrossRef
43.
go back to reference Kline, R.B., Principles and practice of structural equation modeling. 1998, New York, NY: Guiliford Press Kline, R.B., Principles and practice of structural equation modeling. 1998, New York, NY: Guiliford Press
44.
go back to reference Lai, J. S., Crane, P. K., & Cella, D. (2006). Factor analysis techniques for assessing sufficient unidimensionality of cancer related fatigue. Quality of Life Research, 15(7), 1179–1190.PubMedCrossRef Lai, J. S., Crane, P. K., & Cella, D. (2006). Factor analysis techniques for assessing sufficient unidimensionality of cancer related fatigue. Quality of Life Research, 15(7), 1179–1190.PubMedCrossRef
45.
go back to reference Lai, J. S., et al. (2011). Parent-perceived child cognitive function: Results from a sample drawn from the US general population. Childs Nervous System, 27(2), 285–293.CrossRef Lai, J. S., et al. (2011). Parent-perceived child cognitive function: Results from a sample drawn from the US general population. Childs Nervous System, 27(2), 285–293.CrossRef
46.
go back to reference Zijlmans, E. A. O., et al. (2018). Item-score reliability in empirical-data sets and its relationship with other item indices. Educational and Psychological Measurement, 78(6), 998–1020.PubMedCrossRef Zijlmans, E. A. O., et al. (2018). Item-score reliability in empirical-data sets and its relationship with other item indices. Educational and Psychological Measurement, 78(6), 998–1020.PubMedCrossRef
47.
go back to reference Cutillo, L., et al. (2019). Parametric and multivariate methods. In S. Ranganathan (Ed.), Encyclopedia of Bioinformatics and Computational Biology (pp. 738–746). Academic Press.CrossRef Cutillo, L., et al. (2019). Parametric and multivariate methods. In S. Ranganathan (Ed.), Encyclopedia of Bioinformatics and Computational Biology (pp. 738–746). Academic Press.CrossRef
48.
go back to reference Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.PubMedCrossRef Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.PubMedCrossRef
49.
go back to reference Browne, M.W. and R. Cudeck, Alternative ways of assessing model fit, in Testing Structural Equation Models, K.A. Bollen and J.A. Long, Editors. 1993, Sage Publications: Newbury Park, CA. Browne, M.W. and R. Cudeck, Alternative ways of assessing model fit, in Testing Structural Equation Models, K.A. Bollen and J.A. Long, Editors. 1993, Sage Publications: Newbury Park, CA.
50.
go back to reference McDonald, R.P., Test theory: A unified treatment. 1999, Mahwah, NJ: Lawrence Erlbaum Associates. McDonald, R.P., Test theory: A unified treatment. 1999, Mahwah, NJ: Lawrence Erlbaum Associates.
51.
go back to reference Reeve, B. B., 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(5 Suppl 1), S22-31.PubMedCrossRef Reeve, B. B., 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(5 Suppl 1), S22-31.PubMedCrossRef
52.
go back to reference West, S. G., Finch, J. F., & Curran, P. J. (1995). SEM with nonnormal variables. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts issues and applications (pp. 56–75). Sage Publications. West, S. G., Finch, J. F., & Curran, P. J. (1995). SEM with nonnormal variables. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts issues and applications (pp. 56–75). Sage Publications.
53.
go back to reference Shi, D. X., Maydeu-Olivares, A., & Rosseel, Y. (2020). Assessing fit in ordinal factor analysis models: SRMR vs. RMSEA. Structural Equation Modeling-a Multidisciplinary Journal, 27(1), 1–15.CrossRef Shi, D. X., Maydeu-Olivares, A., & Rosseel, Y. (2020). Assessing fit in ordinal factor analysis models: SRMR vs. RMSEA. Structural Equation Modeling-a Multidisciplinary Journal, 27(1), 1–15.CrossRef
54.
go back to reference Ramsay, J.O., Testgraf - some graphics tools for the analysis of examination data. computing science and statistics, 1991: p. 38–41. Ramsay, J.O., Testgraf - some graphics tools for the analysis of examination data. computing science and statistics, 1991: p. 38–41.
55.
go back to reference Ramsay, J.O., TestGraf a program for the graphical analysis of multiple choice test and questionnaire data. 2000, McGill University Ramsay, J.O., TestGraf a program for the graphical analysis of multiple choice test and questionnaire data. 2000, McGill University
56.
go back to reference Cella, D., et al. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH roadmap cooperative group during its first two years. Medical Care, 45(5 Suppl 1), S3–S11.PubMedPubMedCentralCrossRef Cella, D., et al. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH roadmap cooperative group during its first two years. Medical Care, 45(5 Suppl 1), S3–S11.PubMedPubMedCentralCrossRef
58.
go back to reference Cai, L., D. Thissen, and S. du Toit, IRTPRO 4.20 for Windows 2018, Skokie, IL: Scientific Software International, Inc. Cai, L., D. Thissen, and S. du Toit, IRTPRO 4.20 for Windows 2018, Skokie, IL: Scientific Software International, Inc.
59.
go back to reference Crisan, D. R., Tendeiro, J. N., & Meijer, R. R. (2017). Investigating the practical consequences of model misfit in unidimensional IRT models. Applied Psychological Measurement, 41(6), 439–455.PubMedPubMedCentralCrossRef Crisan, D. R., Tendeiro, J. N., & Meijer, R. R. (2017). Investigating the practical consequences of model misfit in unidimensional IRT models. Applied Psychological Measurement, 41(6), 439–455.PubMedPubMedCentralCrossRef
60.
go back to reference Stark, S., et al. (2006). Examining assumptions about item responding in personality assessment: Should ideal point methods be considered for scale development and scoring? Journal of Applied Psychology, 91(1), 25–39.PubMedCrossRef Stark, S., et al. (2006). Examining assumptions about item responding in personality assessment: Should ideal point methods be considered for scale development and scoring? Journal of Applied Psychology, 91(1), 25–39.PubMedCrossRef
61.
go back to reference Drasgow, F., et al. (1995). Fitting polytomous item response theory models to multiple-choice tests. Applied Psychological Measurement, 19(2), 143–165.CrossRef Drasgow, F., et al. (1995). Fitting polytomous item response theory models to multiple-choice tests. Applied Psychological Measurement, 19(2), 143–165.CrossRef
62.
go back to reference Hambleton, R.K., H. Swaminathan, and H.J. Rogers, Fundamentals of item response theory. 1991, Newbury Park, CA: SAGE Publications, Inc Hambleton, R.K., H. Swaminathan, and H.J. Rogers, Fundamentals of item response theory. 1991, Newbury Park, CA: SAGE Publications, Inc
63.
go back to reference Teresi, J. A. (2001). Statistical methods for examination of differential item functioning (DIF) with applications to cross-cultural measurement of functional, physical and mental health. Journal of Mental Health and Aging, 7(1), 31–40. Teresi, J. A. (2001). Statistical methods for examination of differential item functioning (DIF) with applications to cross-cultural measurement of functional, physical and mental health. Journal of Mental Health and Aging, 7(1), 31–40.
64.
go back to reference Thissen, D., Steinberg, L., & Wainer, H. (1993). Detection of differential item functioning using the parameters of item response models. In P. W. Holland & H. Wainer (Eds.), Differential Item Functioning (pp. 67–113). Lawrence Erlbaum Associates. Thissen, D., Steinberg, L., & Wainer, H. (1993). Detection of differential item functioning using the parameters of item response models. In P. W. Holland & H. Wainer (Eds.), Differential Item Functioning (pp. 67–113). Lawrence Erlbaum Associates.
65.
go back to reference van der Linden, W.J. and R.K. Hambleton, Handbook of modern item response theory. 1997, New York, NY: Springer-Verlag van der Linden, W.J. and R.K. Hambleton, Handbook of modern item response theory. 1997, New York, NY: Springer-Verlag
66.
go back to reference Choi, S. W., Gibbons, L. E., & Crane, P. K. (2011). Lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and monte carlo simulations. Journal of Statistical Software, 39(8), 1–30.PubMedPubMedCentralCrossRef Choi, S. W., Gibbons, L. E., & Crane, P. K. (2011). Lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and monte carlo simulations. Journal of Statistical Software, 39(8), 1–30.PubMedPubMedCentralCrossRef
67.
go back to reference Deutscher, D., et al. (2021). The lower extremity physical function patient-reported outcome measure was reliable, valid, and efficient for patients with musculoskeletal impairments. Archives of Physical Medicine and Rehabilitation, 102(8), 1576–1587.PubMedCrossRef Deutscher, D., et al. (2021). The lower extremity physical function patient-reported outcome measure was reliable, valid, and efficient for patients with musculoskeletal impairments. Archives of Physical Medicine and Rehabilitation, 102(8), 1576–1587.PubMedCrossRef
68.
go back to reference Terwee, C. B., et al. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34–42.PubMedCrossRef Terwee, C. B., et al. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34–42.PubMedCrossRef
69.
70.
go back to reference Pilkonis, P. A., et al. (2011). Item banks for measuring emotional distress from the patient-reported outcomes measurement information system (PROMIS(R)): Depression, anxiety, and anger. Assessment, 18(3), 263–283.PubMedPubMedCentralCrossRef Pilkonis, P. A., et al. (2011). Item banks for measuring emotional distress from the patient-reported outcomes measurement information system (PROMIS(R)): Depression, anxiety, and anger. Assessment, 18(3), 263–283.PubMedPubMedCentralCrossRef
71.
go back to reference Boyle, G. J., Stankov, L., & Cattell, R. B. (1995). Measurement and statistical models in the the study of personality and intelligence. In D. H. Saklofske & M. Zeidner (Eds.), Interntional Handbook of Personality and Intelligence (pp. 417–446). Plenum Press.CrossRef Boyle, G. J., Stankov, L., & Cattell, R. B. (1995). Measurement and statistical models in the the study of personality and intelligence. In D. H. Saklofske & M. Zeidner (Eds.), Interntional Handbook of Personality and Intelligence (pp. 417–446). Plenum Press.CrossRef
72.
go back to reference Lai, J. S., et al. (2011). How item banks and its applications can influence measurement practice in rehabilitation medicine: A PROMIS fatigue item bank example. Archives of Physical Medicine & Rehabilitation, 92(Supp 1), S20–S27.CrossRef Lai, J. S., et al. (2011). How item banks and its applications can influence measurement practice in rehabilitation medicine: A PROMIS fatigue item bank example. Archives of Physical Medicine & Rehabilitation, 92(Supp 1), S20–S27.CrossRef
Metagegevens
Titel
Development of self-report measures of physical, mental, and emotional fatigability: the michigan fatigability index (MIFI)
Auteurs
Anna L. Kratz
Noelle E. Carlozzi
Susan L. Murphy
Tiffany J. Braley
Daniel Whibley
David A. Williams
Nora E. Fritz
Michael Kallen
Publicatiedatum
06-03-2025
Uitgeverij
Springer New York
Gepubliceerd in
Quality of Life Research
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-025-03934-x