The Impact of Socioeconomic Status and Social Exclusion in Higher Education

Thesis title: The Impact of Socioeconomic Status and Social Exclusion in Higher Education
Author: Ryckenberg, Samuel
Thesis type: Diploma thesis
Supervisor: Vltavská, Kristýna
Opponents: Zelený, Martin
Thesis language: English
Abstract:
The purpose of this thesis is to gain a deeper understanding of socioeconomic statusimpact in higher education and how social exclusion in higher education may be reduced. Itaims to answer which socioeconomic variables that impact a person’s decision to pursue ahigher education. The thesis also discusses how social exclusion in higher education can bereduced. The thesis practical analysis is based on data from the EU-Statistics on Income andLiving Conditions. Three countries are included in the analysis; the Czech Republic, Swedenand the United Kingdom. The main statistical methods used in the thesis are the independentsamples t-test, the Mann Whitney U test and binary logistic regression. The results obtained bythe thesis are discussed and compared to previous research conducted within the same studyfield.
Keywords: EU-SILC; higher education; inequality; social exclusion; binary logistic regression; socioeconomic status; tertiary education; university education
Thesis title: The Impact of Socioeconomic Status and Social Exclusion in Higher Education
Author: Ryckenberg, Samuel
Thesis type: Diplomová práce
Supervisor: Vltavská, Kristýna
Opponents: Zelený, Martin
Thesis language: English
Abstract:
The purpose of this thesis is to gain a deeper understanding of socioeconomic statusimpact in higher education and how social exclusion in higher education may be reduced. Itaims to answer which socioeconomic variables that impact a person’s decision to pursue ahigher education. The thesis also discusses how social exclusion in higher education can bereduced. The thesis practical analysis is based on data from the EU-Statistics on Income andLiving Conditions. Three countries are included in the analysis; the Czech Republic, Swedenand the United Kingdom. The main statistical methods used in the thesis are the independentsamples t-test, the Mann Whitney U test and binary logistic regression. The results obtained bythe thesis are discussed and compared to previous research conducted within the same studyfield.
Keywords: EU-SILC; binary logistic regression; higher education; inequality; social exclusion; socioeconomic status; tertiary education; university education

Information about study

Study programme: Kvantitativní metody v ekonomice/Quantitative Economic Analysis
Type of study programme: Magisterský studijní program
Assigned degree: Ing.
Institutions assigning academic degree: Vysoká škola ekonomická v Praze
Faculty: Faculty of Informatics and Statistics
Department: Department of Economic Statistics

Information on submission and defense

Date of assignment: 12. 10. 2017
Date of submission: 5. 5. 2018
Date of defense: 11. 6. 2018
Identifier in the InSIS system: https://insis.vse.cz/zp/63477/podrobnosti

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