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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)501-507
Number of pages7
JournalQuality of Life Research
Volume22
Issue number3
DOIs
StatePublished - Apr 2013

Funding

Acknowledgments The project described was supported by Award Number 3U01AR052177-06S1 from the National Institute of Arthritis and Musculoskeletal and Skin Diseases. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Arthritis and Musculoskeletal and Skin Diseases or the National Institutes of Health.

Keywords

  • Factor analysis
  • Pain interference
  • Pain measurement
  • Patient outcome measures
  • Psychometrics

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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