Abstract Objective: The aim of this study was to investigate the statistical properties of a self-assessment instrument for depression, Känsloläge, with regard to validity, reliability and factor structure. Method: The data collection method used for the study was mail questionnaires. The sample consisted of patients who had received treatment for heart failure, arrhythmic disorders or coronary heart disease at a hospital in Uppsala, Sweden. The study population consisted of 53 patients. The self assessment form’s validity was analyzed by measuring the criterion validity. This was accomplished by comparing Känsloläge with previously validated criterion from, the Montgomery-Åsberg depression rating scale (MADRS-S) . Reliability was analyzed by measuring the internal consistency and the factor structure by a factor analysis. Results: Känsloläge, could be considered valid using MADRS-S as a criterion, since a significant correlation between the instruments were found (Spearman’s rho=0,789). Känsloläge could also be considered to have high reliability, since the internal consistency was high (Cronbach’s alpha=0,867). The factor analysis of Känsloläge identified to six underlying factors. Conclusion: Känsloläge was considered in this study to have high reliability and validity. Känsloläge can therefore be used in future studies and in practice to detect symptoms of depression. Larger study populations are recommended if the results of the factor analysis are used to further develop the instrument.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-143018 |
| Date | January 2011 |
| Creators | Söderberg, Karin, Anfält, Klara |
| Publisher | Uppsala universitet, Institutionen för folkhälso- och vårdvetenskap, Uppsala universitet, Institutionen för folkhälso- och vårdvetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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