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Published in: Quality of Life Research 3/2013

01-04-2013

Measurement invariance of the PROMIS pain interference item bank across community and clinical samples

Authors: Jiseon Kim, Hyewon Chung, Dagmar Amtmann, Dennis A. Revicki, Karon F. Cook

Published in: Quality of Life Research | Issue 3/2013

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Abstract

Purpose

This study examined the measurement invariance of responses to the patient-reported outcomes measurement information system (PROMIS) pain interference (PI) item bank. The original PROMIS calibration sample (Wave I) was augmented with a sample of persons recruited from the American Chronic Pain Association (ACPA) to increase the number of participants reporting higher levels of pain. Establishing measurement invariance of an item bank is essential for the valid interpretation of group differences in the latent concept being measured.

Methods

Multi-group confirmatory factor analysis (MG-CFA) was used to evaluate successive levels of measurement invariance: configural, metric, and scalar invariance.

Results

Support was found for configural and metric invariance of the PROMIS-PI, but not for scalar invariance.

Conclusions and recommendations

Based on our results of MG-CFA, we recommend retaining the original parameter estimates obtained by combining the community sample of Wave I and ACPA participants. Future studies should extend this study by examining measurement equivalence in an item response theory framework such as differential item functioning analysis.

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Appendix
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Literature
1.
go back to reference Dworkin, R. H., Turk, D. C., Farrar, J. T., Haythornthwaite, J. A., Jensen, M. P., & Katz, N. P. (2005). Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain, 113(1–2), 9–19.PubMedCrossRef Dworkin, R. H., Turk, D. C., Farrar, J. T., Haythornthwaite, J. A., Jensen, M. P., & Katz, N. P. (2005). Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain, 113(1–2), 9–19.PubMedCrossRef
2.
go back to reference Amtmann, D., Cook, K., Jensen, M. P., Chen, W.-H., Choi, S., Revicki, D., et al. (2010). Development of a PROMIS item bank to measure pain interference. Pain, 150(1), 173–182.PubMedCrossRef Amtmann, D., Cook, K., Jensen, M. P., Chen, W.-H., Choi, S., Revicki, D., et al. (2010). Development of a PROMIS item bank to measure pain interference. Pain, 150(1), 173–182.PubMedCrossRef
3.
go back to reference Riley, W., Rothrock, N., Bruce, B., Christodolou, C., Cook, K., & Hahn, E. A. (2010). Patient-reported outcomes measurement information system (PROMIS) domain names and definitions revisions: further assessment of content validity in IRT-derived item banks. Quality of Life Research, 19(9), 1311–1321.PubMedCrossRef Riley, W., Rothrock, N., Bruce, B., Christodolou, C., Cook, K., & Hahn, E. A. (2010). Patient-reported outcomes measurement information system (PROMIS) domain names and definitions revisions: further assessment of content validity in IRT-derived item banks. Quality of Life Research, 19(9), 1311–1321.PubMedCrossRef
4.
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
5.
go back to reference Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34 (4, Pt. 2, No 17). Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34 (4, Pt. 2, No 17).
6.
go back to reference Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., et al. (2010). Initial item banks and first wave testing of the patient–reported outcomes measurement information system (PROMIS) network: 2005–2008. Journal of Clinical Epidemiology, 63(11), 1179–1194.PubMedCrossRef Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., et al. (2010). Initial item banks and first wave testing of the patient–reported outcomes measurement information system (PROMIS) network: 2005–2008. Journal of Clinical Epidemiology, 63(11), 1179–1194.PubMedCrossRef
7.
go back to reference Liu, H. H., Cella, D., Gershon, R., Shen, J., Morales, L. S., Riley, W., et al. (2010). Representativeness of the PROMIS Internet panel. Journal of Clinical Epidemiology, 63(11), 1169–1178.PubMedCrossRef Liu, H. H., Cella, D., Gershon, R., Shen, J., Morales, L. S., Riley, W., et al. (2010). Representativeness of the PROMIS Internet panel. Journal of Clinical Epidemiology, 63(11), 1169–1178.PubMedCrossRef
8.
go back to reference Rothrock, N. E., Hays, R. D., Spritzer, K., Yount, S. E., Riley, W., & Cella, D. (2010). Relative to the general US population, chronic diseases are associated with poorer health–related quality of life as measured by the patient–reported outcomes measurement information system (PROMIS). Journal of Clinical Epidemiology, 63(11), 1195–1204.PubMedCrossRef Rothrock, N. E., Hays, R. D., Spritzer, K., Yount, S. E., Riley, W., & Cella, D. (2010). Relative to the general US population, chronic diseases are associated with poorer health–related quality of life as measured by the patient–reported outcomes measurement information system (PROMIS). Journal of Clinical Epidemiology, 63(11), 1195–1204.PubMedCrossRef
9.
go back to reference Meredith, W. (1993). Measurement invariance, factor analysis, and factorial invariance. Psychometrika, 58(4), 525–543.CrossRef Meredith, W. (1993). Measurement invariance, factor analysis, and factorial invariance. Psychometrika, 58(4), 525–543.CrossRef
10.
go back to reference Horn, J. L., & McArdle, J. J. (1992). A practical and theoretical guide to measurement invariance in aging research. Experimental Aging Research, 18(3), 117–144.PubMedCrossRef Horn, J. L., & McArdle, J. J. (1992). A practical and theoretical guide to measurement invariance in aging research. Experimental Aging Research, 18(3), 117–144.PubMedCrossRef
11.
go back to reference Steenkamp, E. M. J., & Baumgartner, H. (1998). Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research, 25(1), 78–90.CrossRef Steenkamp, E. M. J., & Baumgartner, H. (1998). Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research, 25(1), 78–90.CrossRef
12.
go back to reference Muthén, L. K., & Muthén, B. O. (1998–2010). Mplus user’s guide. 6th ed. Los Angeles, CA: Muthén & Muthén. Muthén, L. K., & Muthén, B. O. (1998–2010). Mplus user’s guide. 6th ed. Los Angeles, CA: Muthén & Muthén.
13.
go back to reference Bentler, P. M. (1980). Multivariate analysis with latent variables: Causal modeling. Annual Review of Psychology, 31(1), 419–456.CrossRef Bentler, P. M. (1980). Multivariate analysis with latent variables: Causal modeling. Annual Review of Psychology, 31(1), 419–456.CrossRef
14.
go back to reference Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1–10.CrossRef Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1–10.CrossRef
15.
go back to reference Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS. Hillsdale, NJ: Lawrence Erlbaum. Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS. Hillsdale, NJ: Lawrence Erlbaum.
16.
go back to reference Steiger, J. H., & Lind, J. C. (1980). Statistically-based tests for the number of common factors. In Paper presented at the annual spring meeting of the Psychometric Society, Iowa City, IA. Steiger, J. H., & Lind, J. C. (1980). Statistically-based tests for the number of common factors. In Paper presented at the annual spring meeting of the Psychometric Society, Iowa City, IA.
17.
go back to reference Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.CrossRef Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.CrossRef
18.
go back to reference Browne, M., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. Bollen & J. Long (Eds.), Testing structural equation models (pp. 136–162). London, England: Sage. Browne, M., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. Bollen & J. Long (Eds.), Testing structural equation models (pp. 136–162). London, England: Sage.
19.
go back to reference Marsh, H. W., Hau, K., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling: A Multidisciplinary Journal, 11(3), 320–341.CrossRef Marsh, H. W., Hau, K., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling: A Multidisciplinary Journal, 11(3), 320–341.CrossRef
20.
go back to reference Sivo, S. A., Fan, X., Witta, E. L., & Willse, J. T. (2006). The search for “optimal” cutoff properties: Fit index criteria in structural equation modeling. The Journal of Experimental Education, 74(3), 267–288.CrossRef Sivo, S. A., Fan, X., Witta, E. L., & Willse, J. T. (2006). The search for “optimal” cutoff properties: Fit index criteria in structural equation modeling. The Journal of Experimental Education, 74(3), 267–288.CrossRef
21.
go back to reference Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indices for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233–255.CrossRef Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indices for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233–255.CrossRef
22.
go back to reference French, B. F., & Finch, W. H. (2006). Confirmatory factor analytic procedures for the determination of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 13(3), 378–402.CrossRef French, B. F., & Finch, W. H. (2006). Confirmatory factor analytic procedures for the determination of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 13(3), 378–402.CrossRef
23.
go back to reference Mora, P. A., Contrada, R. J., Berkowitz, A., Musumeci-Szabo, T., Wisnivesky, J., & Halm, E. A. (2009). Measurement invariance of the mini asthma quality of life questionnaire across African–American and Latino adult asthma patients. Quality of Life Research, 18(3), 371–380.PubMedCrossRef Mora, P. A., Contrada, R. J., Berkowitz, A., Musumeci-Szabo, T., Wisnivesky, J., & Halm, E. A. (2009). Measurement invariance of the mini asthma quality of life questionnaire across African–American and Latino adult asthma patients. Quality of Life Research, 18(3), 371–380.PubMedCrossRef
24.
go back to reference Hill, C.D., Edwards, M.C., Thissen, D., Langer, M.M., Wirth, R.J., Burwinkle, T. M., et al. (2007). Practical issues in the application of item response theory: A demonstration using items from the Pediatric Quality of Life Inventory™ (PedsQL™) 4.0 Generic Core Scales. Medical Care, 45(5 Suppl 1), 39–47. Hill, C.D., Edwards, M.C., Thissen, D., Langer, M.M., Wirth, R.J., Burwinkle, T. M., et al. (2007). Practical issues in the application of item response theory: A demonstration using items from the Pediatric Quality of Life Inventory™ (PedsQL™) 4.0 Generic Core Scales. Medical Care, 45(5 Suppl 1), 39–47.
25.
go back to reference Reise, S. P., Widaman, K. F., & Pugh, R. H. (1993). Confirmatory factor analysis and item response theory: Two approaches for exploring measurement. Psychological Bulletin, 114(3), 552–567.PubMedCrossRef Reise, S. P., Widaman, K. F., & Pugh, R. H. (1993). Confirmatory factor analysis and item response theory: Two approaches for exploring measurement. Psychological Bulletin, 114(3), 552–567.PubMedCrossRef
26.
go back to reference Chen, F., Sousa, K. H., & West, S. G. (2005). Teacher’s corner: Testing measurement invariance of second-order factor models. Structural Equation Modeling: A Multidisciplinary Journal, 12(3), 471–492.CrossRef Chen, F., Sousa, K. H., & West, S. G. (2005). Teacher’s corner: Testing measurement invariance of second-order factor models. Structural Equation Modeling: A Multidisciplinary Journal, 12(3), 471–492.CrossRef
27.
go back to reference Yen, W. M. (1993). Scaling performance assessments: Strategies for managing local item dependence. Journal of Educational Measurement, 30, 187–213.CrossRef Yen, W. M. (1993). Scaling performance assessments: Strategies for managing local item dependence. Journal of Educational Measurement, 30, 187–213.CrossRef
28.
go back to reference Steinberg, L., & Thissen, D. (1996). Uses of item response theory and the testlet concept in the measurement of psychopathology. Psychological Methods, 1, 81–97.CrossRef Steinberg, L., & Thissen, D. (1996). Uses of item response theory and the testlet concept in the measurement of psychopathology. Psychological Methods, 1, 81–97.CrossRef
29.
go back to reference Stark, S., Chernshenko, O. S., & Drasgow, F. (2006). Detecting differential item functioning with confirmatory factor analysis and item response theory: Toward a unified strategy. Journal of Applied Psychology, 91(6), 1292–1306.PubMedCrossRef Stark, S., Chernshenko, O. S., & Drasgow, F. (2006). Detecting differential item functioning with confirmatory factor analysis and item response theory: Toward a unified strategy. Journal of Applied Psychology, 91(6), 1292–1306.PubMedCrossRef
Metadata
Title
Measurement invariance of the PROMIS pain interference item bank across community and clinical samples
Authors
Jiseon Kim
Hyewon Chung
Dagmar Amtmann
Dennis A. Revicki
Karon F. Cook
Publication date
01-04-2013
Publisher
Springer Netherlands
Published in
Quality of Life Research / Issue 3/2013
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-012-0191-x

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