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.
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.
Authors: Leticia Leon; Marta Redondo; Antonio Fernández-Nebro; Susana Gómez; Estíbaliz Loza; María Montoro; Rosario Garcia-Vicuña; María Galindo Journal: Rheumatol Int Date: 2018-05-28 Impact factor: 2.631
Authors: Glòria Reig-Garcia; Cristina Bosch-Farré; Rosa Suñer-Soler; Dolors Juvinyà-Canal; Núria Pla-Vila; Rosa Noell-Boix; Esther Boix-Roqueta; Susana Mantas-Jiménez Journal: Int J Environ Res Public Health Date: 2021-12-04 Impact factor: 3.390
Authors: Fernando Estévez-López; Manuel Pulido-Martos; Christopher J Armitage; Alison Wearden; Inmaculada C Álvarez-Gallardo; Manuel Javier Arrayás-Grajera; María J Girela-Rejón; Ana Carbonell-Baeza; Virginia A Aparicio; Rinie Geenen; Manuel Delgado-Fernández; Víctor Segura-Jiménez Journal: PeerJ Date: 2016-03-24 Impact factor: 2.984