At least two review authors will independently screen titles and abstracts at a first stage and full texts of potentially eligible records at a second stage, followed by extraction of data from qualifying studies. At least two review authors will assess risk of bias and quality of evidence, using the most suited tools currently available. For Systematic Review 2, if feasible, we will combine relative risks using meta-analysis. We will report results using the guidelines for accurate and transparent health estimates reporting (GATHER) for Systematic Review 1 and the preferred reporting items for systematic reviews and meta-analyses guidelines (PRISMA) for Systematic Review 2. PROSPERO registration number: CRD42018084077.
The social identity of unemployed: effects on well-bein
The social identity of unemployed: effects on well-bein
Based on Tajfel and Turner's (1979) Social Identity Theory, we distinguish two aspects of the social identity of the unemployed: social comparison with the employed (the in-group image of the unemployed) and social identification with the unemployed. We expect that the unemployed will evaluate their group in more negative terms compared to the employed. A negative in-group image and the social identification with the unemployed are expected to correlate negatively with various aspects of well-being. Finally, we hypothesise that cultural and economic conservatism and the traditional work ethic are associated with a negative in-group image and a lower identification with the unemployed. Data of unemployed individuals (N = 300) were gathered by means of a written questionnaire. The results confirm our hypotheses regarding the in-group image and the association between both aspects of social identity and various well-being measures. Only the traditional work ethic was found to correlate negatively with the in-group image, whereas only economic conservatism correlated negatively with the identification with the unemployed. The theoretical and practical implications of our findings are discussed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.