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The Social Insurance Literacy Questionnaire (SILQ): Development and Psychometric Evaluation
Linköping University, Department of Behavioural Sciences and Learning, Education and Sociology. Linköping University, Faculty of Arts and Sciences. Linköping University, HELIX Competence Centre.ORCID iD: 0000-0003-3310-0895
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.ORCID iD: 0000-0001-8468-8129
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Regionledningskontoret, Enheten för folkhälsa.ORCID iD: 0000-0002-6281-7783
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Prevention, Rehabilitation and Community Medicine. Linköping University, Faculty of Medicine and Health Sciences.ORCID iD: 0000-0002-9488-6142
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2024 (English)In: Journal of occupational rehabilitation, ISSN 1053-0487, E-ISSN 1573-3688, Vol. 34, p. 693-706Article in journal (Refereed) Published
Abstract [en]

PurposeFor clients to understand social insurance decisions and processes, information from authorities needs to be comprehensible, and clients need sufficient individual abilities. These dimensions are captured by the concept social insurance literacy, which has been operationalized into a measure, the Social Insurance Literacy Questionnaire (SILQ). The aim of this study was to describe the development of the SILQ and evaluate its psychometric properties using Rasch measurement theory.MethodsThe development of the SILQ included a Delphi study and cognitive interviews. A preliminary version, divided on four scales corresponding to the domains of the concept (obtaining information, understanding information, acting on information, and system comprehensibility) was psychometrically evaluated according to Rasch measurement theory, in a survey to a stratified random sample of people on sick leave (n = 1151) sent out in the fall of 2020.ResultsOverall, the items in the final version of the SILQ demonstrated good fit to the Rasch model, and the response scale worked as intended. Unidimensionality was supported for all scales, but minor problems with local dependency was detected for three items. The person separation was 0.80 for the Obtain scale, 0.82 for the Understand scale, 0.68 for the Act scale, and 0.81 for the System scale. Corresponding ordinal alpha values were 0.91, 0.91, 0.86, and 0.91, respectively.ConclusionThis study is a first step toward exploring literacy in the social insurance field. The SILQ covers individual abilities and systems' comprehensibility, and the results show that it has acceptable psychometric properties.

Place, publisher, year, edition, pages
SPRINGER/PLENUM PUBLISHERS , 2024. Vol. 34, p. 693-706
Keywords [en]
Sick leave; Social insurance; Instrument development; Methodological study; Psychometrics; Rasch measurement theory
National Category
Social Work
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URN: urn:nbn:se:liu:diva-199963DOI: 10.1007/s10926-023-10159-7ISI: 001131968200001PubMedID: 38159124OAI: oai:DiVA.org:liu-199963DiVA, id: diva2:1825547
Note

Funding Agencies|Frskringskassan

Available from: 2024-01-09 Created: 2024-01-09 Last updated: 2024-10-22Bibliographically approved

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Ståhl, ChristianKarlsson, ElinWenemark, MarikaSandqvist, Jan

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Education and SociologyFaculty of Arts and SciencesHELIX Competence CentreDivision of Society and HealthFaculty of Medicine and Health SciencesEnheten för folkhälsaDivision of Prevention, Rehabilitation and Community Medicine
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