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Quality of Life Research
Published in: Quality of Life Research 6/2007

01-08-2007 | Original Paper

Differential item functioning impact in a modified version of the Roland–Morris Disability Questionnaire

Authors: Paul K. Crane, Karynsa Cetin, Karon F. Cook, Kurt Johnson, Richard Deyo, Dagmar Amtmann

Published in: Quality of Life Research | Issue 6/2007

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Abstract

Objective

To evaluate a modified version of the Roland–Morris Disability Questionnaire for differential item functioning (DIF) related to several covariates.

Background

DIF occurs in an item when, after controlling for the underlying trait measured by the test, the probability of endorsing the item varies across groups.

Methods

Secondary data analysis of two studies of participants with back pain (total n = 875). We used a hybrid item response theory/ logistic regression approach for detecting DIF. We obtained scores that accounted for DIF. We evaluated the impact of DIF on individual and group scores, and compared scores that ignored or accounted for DIF in terms of the strength of association with SF-36 subscale scores.

Results

DIF was found in 18/23 items. Salient scale-level differential functioning was found related to age, education, and employment. Overall 24 participants (3%) had salient scale-level differential functioning. Mean scores across demographic groups differed minimally when accounting for DIF. The strength of association of scores with SF-36 scores was similar for scores that ignored and scores that accounted for DIF.

Conclusions

The modified version of the Roland–Morris Disability Questionnaire appears to have largely negligible DIF related to the covariates assessed here.
Appendix
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Literature
1.
Camilli, G., & Shepard, L. A. (1994). Methods for identifying biased test items. Thousand Oaks: Sage.
2.
Holland, P. W., & Wainer, H. (Eds.) (1993). Differential item functioning. Hillsdale, NJ: Erlbaum.
3.
Millsap, R. E., & Everson, H. T. (1993). Methodology review: Statistical approaches for assessing measurement bias. Applied Psychological Measurement, 17, 297–334.CrossRef
4.
Roland, M., & Morris, R. (1983). A study of the natural history of back pain. Part I: Development of a reliable and sensitive measure of disability in low-back pain. Spine, 8, 141–144.PubMedCrossRef
5.
Bergner, M., Bobbitt, R. A., Carter, W. B., & Gilson, B. S. (1981). The sickness impact profile: Development and final revision of a health status measure. Medical Care, 19, 787–805.PubMedCrossRef
6.
Patrick, D. L., Deyo, R. A., Atlas, S. J., Singer, D. E., Chapin, A., & Keller, R. B. (1995). Assessing health-related quality of life in patients with sciatica. Spine, 20, 1899–1908; discussion 1909.PubMedCrossRef
7.
Kucukdeveci, A. A., Tennant, A., Elhan, A. H., & Niyazoglu, H. (2001). Validation of the Turkish version of the Roland–Morris disability questionnaire for use in low back pain. Spine, 26, 2738–2743.PubMedCrossRef
8.
Pietrobon, R., Taylor, M., Guller, U., Higgins, L. D., Jacobs, D. O., & Carey, T. (2004). Predicting gender differences as latent variables: Summed scores, and individual item responses: A methods case study. Health and Quality of Life Outcomes, 2, 59.PubMedCrossRef
9.
Deyo, R. A., Mirza, S. K., Heagerty, P. J., Turner, J. A., & Martin, B. I. (2005). A prospective cohort study of surgical treatment for back pain with degenerated discs; study protocol. BMC Musculoskeletal Disorder, 6, 24.CrossRef
10.
Jarvik, J. G., Hollingworth, W., Martin, B., Emerson, S. S., Gray, D. T, Overman, S., Robinson, D., Staiger, T., Wessbecher, F., Sullivan, S. D., Kreuter, W., & Deyo, R. A. (2003). Rapid magnetic resonance imaging vs radiographs for patients with low back pain: A randomized controlled trial. JAMA, 289, 2810–2818.PubMedCrossRef
11.
12.
StataCorp (2003). Stata statistical software: Release 8.0. College Station, TX: Stata Corporation.
13.
Muraki, E., & Bock, D. (2003). PARSCALE for Windows version 4.1. Chicago: SSI.
14.
Crane, P. K., Hart, D. L., Gibbons, L. E., & Cook, K. F. (2006). A 37-item shoulder functional status item pool had negligible differential item functioning. Journal of Clinical Epidemiology, 59, 478–484.PubMedCrossRef
15.
Crane, P. K., Gibbons, L. E., Jolley, L., & van Belle, G. (2006). Differential item functioning analysis with ordinal logistic regression techniques: DIFdetect and difwithpar. Medical Care, 44, S115–S123.PubMedCrossRef
16.
Crane, P. K., Gibbons, L. E., Narasimhalu, K., Lai, J. S., & Cella, D. (2007). Rapid detection of differential item functioning in assessments of health-related quality of life: The functional assessment of cancer therapy. Quality of Life Research, 16, 101–114.PubMedCrossRef
17.
Crane, P. K., van Belle, G., & Larson, E. B. (2004). Test bias in a cognitive test: differential item functioning in the CASI. Statistics in Medicine, 23, 241–256.PubMedCrossRef
18.
Crane, P. K., Gibbons, L. E., Ocepek-Welikson, K., Cook, K., Cella, D., Narasimhalu, K., Hays, R., & Teresi, J. (2007). A Comparison of three sets of criteria for determining the presence of differential item functioning using ordinal logistic regression. Quality of Life Research (in press).
19.
Crane, P. K. (2006). Commentary on comparing translations of the EORTC QLQ-C30 using differential item functioning analyses. Quality of Life Research, 15, 1117–1118.CrossRef
20.
Perkins, A. J., Stump, T. E., Monahan, P. O., & McHorney, C. A. (2006). Assessment of differential item functioning for demographic comparisons in the MOS SF-36 health survey. Quality of Life Research, 15, 331–348.PubMedCrossRef
21.
Maldonado, G., & Greenland, S. (1993). Simulation study of confounder-selection strategies. American Journal of Epidemiology, 138, 923–936.PubMed
Metadata
Title
Differential item functioning impact in a modified version of the Roland–Morris Disability Questionnaire
Authors
Paul K. Crane
Karynsa Cetin
Karon F. Cook
Kurt Johnson
Richard Deyo
Dagmar Amtmann
Publication date
01-08-2007
Publisher
Springer Netherlands
Published in
Quality of Life Research / Issue 6/2007
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-007-9200-x

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