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Measurement invariance across chronic conditions: a systematic review and an empirical investigation of the Health Education Impact Questionnaire (heiQ™)

Please always quote using this URN: urn:nbn:de:bvb:20-opus-110441
  • Background To examine whether lack of measurement invariance (MI) influences mean comparisons among different disease groups, this paper provides (1) a systematic review of MI in generic constructs across chronic conditions and (2) an empirical analysis of MI in the Health Education Impact Questionnaire (heiQ™). Methods (1) We searched for studies of MI among different chronic conditions in online databases. (2) Multigroup confirmatory factor analyses were used to study MI among five chronic conditions (orthopedic condition,Background To examine whether lack of measurement invariance (MI) influences mean comparisons among different disease groups, this paper provides (1) a systematic review of MI in generic constructs across chronic conditions and (2) an empirical analysis of MI in the Health Education Impact Questionnaire (heiQ™). Methods (1) We searched for studies of MI among different chronic conditions in online databases. (2) Multigroup confirmatory factor analyses were used to study MI among five chronic conditions (orthopedic condition, rheumatism, asthma, COPD, cancer) in the heiQ™ with N = 1404 rehabilitation inpatients. Impact on latent and composite mean differences was examined. Results (1) A total of 30 relevant studies suggested that about one in three items lacked MI. However, only four studies examined impact on latent mean differences. Scale means were only affected in one of these three studies. (2) Across the eight heiQ™ scales, seven scales had items with lack of MI in at least one disease group. However, in only two heiQ™ scales were some latent or composite mean differences affected. Conclusions Lack of MI among disease groups is common and may have a relevant influence on mean comparisons when using generic instruments. Therefore, when comparing disease groups, tests of MI should be implemented. More studies of MI and according impact on mean differences in generic questionnaires are needed.show moreshow less

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Metadaten
Author: Michael Schuler, Gunda Musekamp, Jürgen Bengel, Sandra Nolte, Richard H. Osborne, Hermann Faller
URN:urn:nbn:de:bvb:20-opus-110441
Document Type:Journal article
Faculties:Medizinische Fakultät / Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie
Language:English
Year of Completion:2014
Source:In: Health and Quality of Life Outcomes 2014, 12:56. doi:10.1186/1477-7525-12-56
DOI:https://doi.org/10.1186/1477-7525-12-56
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:Bias; Chronic disease; Generic questionnaire; Measurement invariance; Systematic review
Release Date:2015/03/03
Collections:Open-Access-Publikationsfonds / Förderzeitraum 2014
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung