Long-term unemployment, one of the challenges social workers face, produces a variety of non-monetary and social consequences. The helping professionals understand that interventions towards unemployed clients do not cover just the pure fact of their unemployment but that a holistic approach to the clients’ living situations is needed. This paper aims to promote well-being while implementing solution-focused coaching in working with unemployed clients in social work practice. The Reteaming coaching model is supported by two detailed case studies describing three key areas covered in the Reteaming process. Working with clients in both cases contributed to various elements of the client’s psychological well-being: positive emotions, engagement, relationships, meaning, and achievement. The Reteaming coaching model can be used effectively as a suitable structured approach, mainly used in strength-based social work.
The model of financial risk prediction we developed and present in our paper is based on the theoretical assumption that there exists a significant relationship between actual economic situation and values. This assumption confirmed by the research influences the potential risk in financial behaviour and it becomes actual especially in the case of changing life conditions. The concept of the model is based on data received from 3768 respondents questioned across the Czech Republic. Measured variables were indexed, and the cluster and factor analyses were used for multivariate analysis. The model is unique in the combination of personal values projected into six generalized value types and developed economic indexes clustered in four types of economic situations. The primary purpose of the model is to identify the anticipated personal financial risk of clients. The model has fundamental applications as a diagnostic or auto-diagnostic tool in social work, counselling, psychotherapy, and other helping professions, or as a research instrument leading to various hypotheses and to the enhancement of theories concerning economic behaviour.
The aim of this study was to analyze the dependence of personal economic situation on gender, age, education, occupational status, field of work or study, family situation, and number of children in the family. The research was designed as cross-sectional ex post facto. The survey examined data collected through a structured questionnaire completed and returned by a total of 5175 respondents aged 15+ selected from the general population of the Czech Republic. The statistical significance of hypotheses was tested using χ2 statistics, and the adjusted residuals z in each cell were calculated. The impacts of socio-demographic factors on specific economic situation were recognized and statistically confirmed. Compared to women, men show higher financial knowledge, which benefits them significantly. Economic situation worsens with increasing age. As education increases, the level of vulnerability decreases, and the individual’s economic situation improves. Protective factors include cohabitation with a partner and having a complete family. People without children are in the best financial situation. The situation gradually worsens with the number of children, and families with five or more children are typically in a negative economic situation with a high level of vulnerability. The specific contribution of our research lies in the inclusion of potential financial risks in the identification of people at risk. We recognized a high-risk group of people—women in a positive economic situation with a high level of risk.
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