The Social Insurance Literacy Questionnaire (SILQ): Development and Psychometric EvaluationShow others and affiliations
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, 2024. Vol. 34, p. 693-706
Keywords [en]
Sick leave, Social insurance, Instrument development, Methodological study, Psychometrics, Rasch measurement theory
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Research subject
Health and Caring Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-126766DOI: 10.1007/s10926-023-10159-7ISI: 001131968200001PubMedID: 38159124Scopus ID: 2-s2.0-85180892539OAI: oai:DiVA.org:lnu-126766DiVA, id: diva2:1828190
2024-01-162024-01-162025-02-06Bibliographically approved