caa a22 4500 606179976 CHVBK 20210128100803.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s11136-015-0924-8 doi (NATIONALLICENCE)springer-10.1007/s11136-015-0924-8 Testing measurement invariance of the GHQ-28 in stroke patients [Elektronische Daten] [Theresa Munyombwe, Robert West, Kate Hill] Background: In order to combine self-reported measures data from multiple studies to conduct an integrated data analysis, the construct measured must have the same meaning across the studies. This study investigated the measurement invariance of the General Health questionnaire (GHQ-28) in two stroke studies before combining the data for an integrative data analysis. Methods: The study used data from the Stroke Outcomes Study 1 (SOS1, n=448) and second Stroke Outcomes Study (SOS2, n=585). The initial analysis was a confirmatory factor analysis (CFA) for each study separately to confirm the four-factor structure of GHQ-28 questionnaire. Multi-group confirmatory factor analysis (MG-CFA) was used to assess the measurement invariance of the GHQ-28 questionnaire in the two stroke cohorts. Measurement invariance at configural invariance (same items associated with same factor across groups); factor loading invariance (equal factor loadings across groups) and scalar invariance (equal intercepts across groups) was examined. Results: CFA supported all three invariances measured. Conclusion: Results showed that the GHQ-28 questionnaire has comparable measurement properties in the SOS1 and SOS2 stroke studies. Strong measurement invariance was established, and based on the results from this study, integrative data analysis of GHQ-28 scores from the two stroke studies is merited. Springer International Publishing Switzerland, 2015 Multi-group confirmatory factor analysis nationallicence Integrative data analysis nationallicence GHQ-28 nationallicence Stroke nationallicence CFA : Confirmatory factor analysis nationallicence GHQ-28 : General Health questionnaire nationallicence MI : Measurement invariance nationallicence MG-CFA : Multi-group confirmatory factor analysis nationallicence IDA : Integrative data analysis nationallicence Munyombwe Theresa Centre for Epidemiology and Biostatistics, University of Leeds, Worsely Building, LS2 9JT, Leeds, UK aut West Robert Leeds Institute of Health Sciences, University of Leeds, Leeds, UK aut Hill Kate Leeds Institute of Health Sciences, University of Leeds, Leeds, UK aut Quality of Life Research Springer International Publishing 24/8(2015-08-01), 1823-1827 0962-9343 24:8<1823 2015 24 11136 https://doi.org/10.1007/s11136-015-0924-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 brief-communication jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11136-015-0924-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Munyombwe Theresa Centre for Epidemiology and Biostatistics, University of Leeds, Worsely Building, LS2 9JT, Leeds, UK aut NATIONALLICENCE 700 1- West Robert Leeds Institute of Health Sciences, University of Leeds, Leeds, UK aut NATIONALLICENCE 700 1- Hill Kate Leeds Institute of Health Sciences, University of Leeds, Leeds, UK aut NATIONALLICENCE 773 0- Quality of Life Research Springer International Publishing 24/8(2015-08-01), 1823-1827 0962-9343 24:8<1823 2015 24 11136