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• RECRUITMENT AND FUTURE ORIENTATION OF DISADVANTEGED CHILDREN

  21-38

  Ildikó Erdei

  Views:

  299

  In Hungary, many children live in state care. In order to curb its social reproduction, it is important to see recruitment: Who are they? Where and why did they get into state care? We have to deal with the future vision, motivation, self-efficacy, cause-attribution, social integration of young people, and their ideas about them. The aim of our research is to explore the differences in the future orientation of disadvantaged young people living in orphanages and families, which were measurable by analyzing their study average, by using a vision questionnaire and a self-report questionnaire to reveal family background, and by using the Tenessee self-image scale. The study involved 60 children and young adults living in an orphanage and 60 children and young adults living in a family. Both groups consist of young people aged between 15 and 20, born between 1999 and 2004. The aim of the study was to compare the future orientation of the disadvantaged children living in an orphanage with the also disadvantaged children attending Arany János Talent Care Program but living in a family, and also to identify the differences or similarities between them. The statistical analysis found that there was a positive correlation between the vision questionnaire and the background questionnaire. Most of the questions in the two questionnaires are related.

• FIRST-GENERATION YOUNG PEOPLE'S CHANCES OF OBTAINING A DEGREE BASED ON A LARGE SAMPLE ANALYSIS

  17-30

  Veronika Bocsi

  Views:

  93

  Thy system of higher education can be analysed from the aspects of inequalities. The chance of attendance, the achievement, the phenomenon of drop-out, and types of training programs are approached from the students’ social background. Our analysis focuses on the chance of graduation of first-in-family people. The relatively rigid feature of Hungarian society and the lower mobility rate create a specific background for our research. Hungarian Youth Survey 2016 and 2020 databases were used during this analysis and we separated the subsample of young people between 25 and 29 (N²⁰¹⁶= 2906, N²⁰²⁰=2874). We try to discover the patterns of parents’ educational reproduction, describe the features of first-in-family people, and identify those factors which can form the chance of graduation. A binary regression model was run by us in which the dependent variable was the obtaining of a degree and the list of independent variables contained socio-demographic variables (sex, type of settlement, the economic situation of the region, economic situation, parental educational level, the type of parental profession), different life events (crises, the number of children, etc.) and the identification with the parental lifestyle. With these results, we can identify such an intersectional life situation (being a woman, habitation in cities, more favourable economic situation, mother’s white collar work, medium parental educational level, without children) in which the chance of graduation is higher.