Öğrencilerin Sosyal Dışlanmışlık Düzeylerinin Kantil Regresyon ile Analizi

Yıl 2020, Cilt: 18 Sayı: 2, 262 - 274, 24.06.2020

Mine Aydemir , Nuran Bayram

https://doi.org/10.18026/cbayarsos.672141

Cited By: 3

Öz

Sosyal dışlanma, bireyin içinde yaşadığı topluluk üyeleriyle karşılaştırıldığında bu topluluğun dışında kaldığı anlamına gelmektedir. Bireylerin sosyal, kültürel ve ekonomik yaşama etkin bir şekilde katılamamalarıyla ilgilidir. Bu çalışmada, üniversite öğrencilerinin sosyal dışlanmasıyla ilişkili sosyo-demografik özellikler araştırılmıştır. Çalışma grubuna 287 gönüllü üniversite öğrencisi katılmıştır. Çalışmaya katılan öğrenciler, sosyo-demografik özellikler ve sosyal dışlanma ölçeğinin yer aldığı bir anket doldurmuşlardır. Öğrencilerin sosyal dışlanmışlık düzeylerini incelemek için 10., 50. ve 90. persantiller belirlenmiş ve kantil regresyon analizi uygulanmıştır. Bu analiz sonucunda hangi değişkenlerin hangi kantillerde anlamlı olduğu belirlenmiştir. Düşük sosyal dışlanmışlık düzeyini gösteren 10. kantilde cinsiyet, ekonomik durum ve barınma değişkenleri anlamlı bulunurken, orta düzeyde sosyal dışlanmışlık düzeyini gösteren 50. kantilde cinsiyet, annenin iş durumu, ekonomik durum ve barınma değişkenleri istatistiksel olarak anlamlı bulunmuştur. Cinsiyet, sınıf, annenin iş durumu ve ekonomik durum değişkenleri yüksek sosyal dışlanmışlık düzeyini gösteren son kantilde anlamlı değişkenler olarak belirlenmiştir.

Anahtar Kelimeler

Sosyal Dışlanma, Kantil regresyon, Üniversite öğrencileri

A Quantile Regression Analysis of Students’ Social Exclusion Levels

Öz

Social exclusion means that the individual is excluded when compared to members of the community in which he or she lives. The purpose of the study to explore socio-demographic characteristics associated with the social exclusion of university students. There were 287 university students in our study group. The students completed a questionnaire including socio-demographic characteristics and social exclusion scale. Quantile regression analysis at the 10th, 50th and 90th percentile was used to examine the social exclusion levels of the students. As a result of this analysis we determined the variables that are significant in different quantiles. In the 10th quantile, the gender, economic situation and accommodation variables were found to be significant, while in the 50th quantile, the variables of gender, mother occupation, economic situation, and accommodation were statistically significant. Gender, grade, mother occupation, and economic situation were found to be significant in the last quantile.

Anahtar Kelimeler

Social Exclusion, Quantile regression, University student

Kaynakça

• Aasland, A. & Flotten, T. (2001). Ethnicity and Social Exclusion in Estonia and Latvia. Europe-Asia Studies, 53, (7), 1023-49. DOI: 10.1080/09668130120085029
• Adaman, F. & Ardıç, O. P. (2008). Social exclusion in the slum areas of large cities in Turkey. New Perspectives on Turkey, 38, 29–60. DOI: 10.1017/S089663460000491X
• Atkinson, A.B. (1998). Social exclusion, poverty and unemployment (Chapter one). Atkinson, A. B. & Hills, C. (Ed.), Exclusion, Employment and Opportunity. London, UK: London School of Economics, Centre for Analysis of Social Exclusion.
• Bayram, N., Sam, N., Aytac, S. & Aytaç, M. (2010). Yaşam tatmini ve sosyal dışlanma. ISGUC The Journal of Industrial Relations and Human Resources, 12, (4), 79-92. DOI: 10.4026/1303-2860.2010.159.x
• Bayram, N., Aytac, S., Aytac, M., Sam, N., & Bilgel, N. (2011). Measuring social exclusion: A study from Turkey. Mediterranean Journal of Social Sciences, 2(3), 285-298. ISSN 2039-2117
• Bayram, N., Aytac, S., Aytac, M., Sam, N., & Bilgel, N. (2012). Poverty, social exclusion, and life satisfaction: a study from Turkey. Journal of Poverty, 16, (4), 375-391. DOI: 10.1080/10875549.2012.720656
• Bayram, N. (2017). Social Exclusion: A Study from Turkey. International Journal of Research in Social Sciences, 7, (3), 543-547. ISSN: 2249-2496
• Bhalla, A., & Lapeyre, F. (1997). Social exclusion: Towards an analytical and operational framework. Development and Change, 28, (3), 413–433. DOI: 10.1111/1467-7660.00049
• Burchardt, T., Le Grand, J., & Piachaud, D. (1999). Social exclusion in Britain 1991—1995. Social policy & administration, 33, (3), 227-244. DOI: 10.1111/1467-9515.00148
• Chakravarty, S. R., & D'Ambrosio, C. (2006). The measurement of social exclusion. Review of Income and wealth, 52, (3), 377-398. DOI: 10.1111/j.1475-4991.2006.00195.x
• Chung, S., Jeon, H., Song, A., & Kim, J. H. (2019). Developmental Trajectories and Predictors of Social Exclusion Among Older Koreans: Exploring the Multidimensional Nature of Social Exclusion. Social Indicators Research, 144, (1), 97-112. DOI: 10.1007/s1120
• Dahl, E., Fløtten, T., & Lorentzen, T. (2008). Poverty dynamics and social exclusion: An analysis of Norwegian panel data. Journal of Social Policy, 37, (2), 231–249. DOI: 10.1017/S0047279407001729
• Devicienti, F., & Poggi, A. (2011). Poverty and social exclusion: two sides of the same coin or dynamically interrelated processes? Applied Economics, 43, (25), 3549-3571. DOI: 10.1080/00036841003670721
• Goodban, N. (1985). The psychological impact of being on welfare. Social Services Review. 59, 403–422. https://www.jstor.org/stable/30011810
• Howarth, C., Kenway, P., Palmer, G., & Miorelli, R. (1999). Monitoring poverty and social exclusion. York, UK: Joseph Rowntree Foundation. https://www.jrf.org.uk/report/monitoring-poverty-and-social-exclusion-1999
• Humer, S., Moser, M., & Schnetzer, M. (2015). Socioeconomic structures of the Austrian wealth distribution. Empirica, 42, (2), 269-289. DOI: 10.1007/s10663-015-9293-3
• Jehoel-Gijsbers, G., Vrooman, C. (2007). Explaining Social Exclusion: A theoretical model tested in the Netherlands. The Netherlands Institute for Social Research/scp, The Hague. https://www.scp.nl/english/Publications/Publications_by_year/Publications_2007/Explaining_Social_Exclusion
• Klasen, S. (2001). Social exclusion, children and education. Implications of a rights-based approach. European Societies, 3, (4), 413-445. DOI: 10.1080/14616690120112208
• Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of economic perspectives, 15, (4), 143-156. DOI: 10.1257/jep.15.4.143
• Koolen T., Kamperman, B. R. (2018). Social Exclusion among Students: The Role of Ethnicity, Classroom Ethnic Heterogeneity and Self-Esteem (Bachelor's thesis). https://dspace.library.uu.nl/handle/1874/367255
• Mahadevan, R., & Suardi, S. (2012). Impact of socio-economic factors and social affiliation on living standards: a quantile regression approach. Applied Economics Letters, 19, (13), 1231-1236. DOI: 10.1080/13504851.2011.619478
• Robila, M. (2006). Economic pressure and social exclusion in Europe. The Social Science Journal, 43, (1), 85-97. DOI: 10.1016/j.soscij.2005.12.009
• Silver, H. (1994). Social exclusion and social solidarity: three paradigms. Int'l Lab. Rev., 133, 531.https://heinonline.org/HOL/Page?handle=hein.journals/intlr133&div=51&g_sent=1&casa_token=&collection=journals
• Social Exclusion Unit. (2001). Preventing Social Exclusion. UK, London. http://www.bristol.ac.uk/poverty/downloads/keyofficialdocuments/Preventing%20Social%20Exclusion.pdf
• Subrayen, R. (2011). Social exclusion among students with visual impairments at UKZN Edgewood and Howard College campuses (Doctoral dissertation). Erişim adresi: http://ukzn-dspace.ukzn.ac.za/handle/10413/8556
• Townsend, P. (1993). The International Analysis of Poverty. London: Harvester Wheatsheaf.