Measurement invariance of the Illness Invalidation Inventory (3*I) across language, rheumatic disease and gender

M.B. Kool, R. Van de Schoot, Isabel López-Chicheri García, Ricarda Mewes, José A P Da Silva, Karoline Vangronsveld, Andreas A J Wismeijer, Mark A Lumley, H. van Middendorp, Johannes W J Bijlsma, Geert Crombez, Winfried Rief, R. Geenen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

OBJECTIVES: The Illness Invalidation Inventory (3*I) assesses patients' perception of responses of others that are perceived as denying, lecturing, not supporting and not acknowledging the condition of the patient. It includes two factors: 'discounting' and 'lack of understanding'. In order to use the 3*I to compare and pool scores across groups and countries, the questionnaire must have measurement invariance; that is, it should measure identical concepts with the same factor structure across groups. The aim of this study was to examine measurement invariance of the 3*I across rheumatic diseases, gender and languages.

METHODS: Participants with rheumatic disease from various countries completed an online study using the 3*I, which was presented in Dutch, English, French, German, Portuguese and Spanish; 6057 people with rheumatic diseases participated. Single and multiple group confirmatory factor analyses were used to test the factorial structure and measurement invariance of the 3*I with Mplus.

RESULTS: The model with strong measurement invariance, that is, equal factor loadings and thresholds (distribution cut-points) across gender and rheumatic disease (fibromyalgia vs other rheumatic diseases) had the best fit estimates for the Dutch version, and good fit estimates across the six language versions.

CONCLUSIONS: The 3*I showed measurement invariance across gender, rheumatic disease and language. Therefore, it is appropriate to compare and pool scores of the 3*I across groups. Future research may use the questionnaire to examine antecedents and consequences of invalidation as well as the effect of treatments targeting invalidation.
Original languageEnglish
Pages (from-to)551-556
Number of pages6
JournalAnnals of the Rheumatic Diseases
Volume73
Issue number3
DOIs
Publication statusPublished - 1 Mar 2014

Keywords

  • mechanical ventilation
  • PTSS
  • Bayesian estimation
  • maximum likelihood
  • prior specification
  • power
  • repeated measures analyses
  • small samples
  • burn survivors

Fingerprint

Dive into the research topics of 'Measurement invariance of the Illness Invalidation Inventory (3*I) across language, rheumatic disease and gender'. Together they form a unique fingerprint.

Cite this