Citizenship matters: Translating and adapting the Citizenship Measure to Norwegian
| Autor: | Linda Nesse, Marianne Thorsen Gonzalez, Ruth Kjærsti Raanaas, Michael Rowe |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Health (social science)
Health Policy media_common.quotation_subject Perspective (graphical) Measure (physics) 030508 substance abuse Gender studies Norwegian language.human_language 03 medical and health sciences 0302 clinical medicine Quality of life (healthcare) language 030212 general & internal medicine Sociology 0305 other medical science Citizenship media_common |
| Zdroj: | Nordic Studies on Alcohol and Drugs |
| ISSN: | 1458-6126 |
| Popis: | Citizenship is considered intertwined with recovery, and may be a useful perspective for advancing quality of life among marginalised groups. Yet, matters of citizenship among persons with co-occurring substance use and mental health problems are underrepresented both in research and practice. Aims: In order to measure citizenship among persons with co-occurring problems in a Norwegian study, a measure of citizenship was translated from English to Norwegian. The aims of the study were to 1) translate and adapt the Citizenship Measure, developed by Rowe and colleagues at the Yale Program for Recovery and Community Health, to Norwegian, and 2) to assess the internal consistency and convergent validity of the Norwegian translated measure. Methods: The translation process was carried out using forward and back translation procedures. To examine measurement properties, a convenience sample of 104 residents with co-occurring problems living in supported housing completed the measure. Results: Two factors were identified, related to rights, and to relational citizenship. The Norwegian translation of the Citizenship Measure showed high internal consistency and adequate convergent validity. Conclusions: We argue that the measure can be useful in assessing perceived citizenship, and in initiating efforts to support citizenship among persons with co-occurring problems. |
| Databáze: | OpenAIRE |
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