PREDICTORS OF UNEMPLOYMENT IN REFUGEES.

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Bibliographic Details
Title: PREDICTORS OF UNEMPLOYMENT IN REFUGEES.
Authors: RENNER, WALTER, SENFT, BIRGIT
Source: Social Behavior & Personality: an international journal. 2013, Vol. 41 Issue 2, p263-270. 8p.
Subjects: Refugees, Unemployment & psychology, Vocational guidance, Self-efficacy, Social conditions of refugees, Fluency (Language learning), Social support, Logistic regression analysis, Rehabilitation, Employment
Geographic Terms: Austria
Abstract: Refugees have an increased risk of unemployment. We initially examined 83 unemployed refugees in Austria (mean age 34.01 years, s = 10.04), 42 of whom attended vocational training courses and 41 of whom did not. At the time of assessment some months later, 37 participants (44.6%) were employed and 46 (55.4%) were unemployed. We used sociodemographic variables as well as collectivistic values, clinical symptoms, command of the German language, perceived social support, and self-efficacy as possible predictors of unemployment. Logistic regression revealed that attending a training course, previous work experience, and a shorter time in Austria increased chances of employment. The logistic regression model we presented will enable practitioners to predict chances of employment in individual cases and to tailor refugees' vocational rehabilitation to their personal needs. The results suggest that vocational rehabilitation for refugees should be provided as soon as possible after asylum has been granted. [ABSTRACT FROM AUTHOR]
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Database: Psychology and Behavioral Sciences Collection
Description
Abstract:Refugees have an increased risk of unemployment. We initially examined 83 unemployed refugees in Austria (mean age 34.01 years, s = 10.04), 42 of whom attended vocational training courses and 41 of whom did not. At the time of assessment some months later, 37 participants (44.6%) were employed and 46 (55.4%) were unemployed. We used sociodemographic variables as well as collectivistic values, clinical symptoms, command of the German language, perceived social support, and self-efficacy as possible predictors of unemployment. Logistic regression revealed that attending a training course, previous work experience, and a shorter time in Austria increased chances of employment. The logistic regression model we presented will enable practitioners to predict chances of employment in individual cases and to tailor refugees' vocational rehabilitation to their personal needs. The results suggest that vocational rehabilitation for refugees should be provided as soon as possible after asylum has been granted. [ABSTRACT FROM AUTHOR]
ISSN:03012212
DOI:10.2224/sbp.2013.41.2.263