Abstrak
Ilmiy tadqiqot ishida oliy ma’lumotga ega bo’lish ahamiyati, uning kambag’allikni qisqartirish va aholi farovonligini oshirishda o’rni nazariy o’rganilgan. Shuningdek, oliy ta’lim muassasalarida tahsil olayotgan 538 nafar respondent (talaba)lardan o’tkazilgan ijtimoiy so’rovnoma ma’lumotlaridan foydalanilgan holda, ular tomonidan fanlarni o’zlashtirish ko’rsatkichiga ta’sir etuvchi omillarga iqtisodiy baho berishda Ordered logistic regressiya modelidan foydalanilgan. Talabalar tomonidan fanlarni o’zlashtirishiga ta’sir etuvchi omillar: oilaning asosiy daromadi noqishloq xo’jalik faoliyatidan kelishi, jinsi, oliy ta’lim muassasasida davlat grantida o’qishi, talabalarning tahsil olayotgan kursi, talabaning o’qish hududi, doimiy yashash hududi, fanlarni o’zlashtirishda foydalanilgan manbalar va oliy ta’lim muassasalarida o’tkaziladigan tanlovlarda talabalar ishtirogi 1 foiz (p<.01)likda statistik muhim ahamiyatga egaligi aniqlangan. Shuningdek, erkak (o’gil) talabalarga nisbatan ayol (qiz) talabalar hamda doimiy yashash hududi shaharda bo’lgan talabalarga nisbatan qishloq hududida doimiy yashaydigan talabalar tomonidan fanlarni o’zlashtirish ko’rsatkichi yuqoriligi ilmiy asoslangan. Oliy ta’lim muassasalarida talabalar tomonidan fanlarni o’zlashtirish ko’rsatkichini oshirish borasida ilmiy asoslangan xulosa va takliflar berilgan.
Bibliografik manbalar
Muratov Sh., Pardaev Kh., Hasanov Sh. Assessment of the impact Covid-19 pandemiс on family income from non-farm
activities //Irrigation and Melioration. – 2020. – Т. 2020. – №. 4. – С. 95-98.
Gutiérrez-Romero R., Ahamed M. COVID-19 response needs to broaden financial inclusion to curb the rise in poverty
//World Development. – 2021. – Т. 138. – С. 105229.
Unicef et al. Averting a lost COVID generation: a six-point plan to respond, recover and reimagine a post-pandemic
world for every child. – UNICEF, 2020.
Chaturvedi K., Vishwakarma D. K., Singh N. COVID-19 and its impact on education, social life and mental health of students: A survey //Children and youth services review. – 2021. – Т. 121. – С. 105866.
Sari R., Soytas U. Income and education in Turkey: A multivariate analysis //Education Economics. – 2006. – Т. 14. – №. 2. – С. 181-196.
Sumner A., Hoy C., Ortiz-Juarez E. Estimates of the Impact of COVID-19 on Global Poverty. – WIDER working paper, 2020. – №. 2020/43.
Lin T., Lv H. The effects of family income on children’s education: An empirical analysis of CHNS data //Research on Modern Higher Education. – 2017. – Т. 4. – С. 02002.
Kodde D. A., Ritzen J. M. M. Direct and indirect effects of parental education level on the demand for higher education //Journal of Human Resources. – 1988. – С. 356-371.
Kinsler J., Pavan R. Family income and higher education choices: The importance of accounting for college quality //Journal of human capital. – 2011. – Т. 5. – №. 4. – С. 453-477.
Nazarova B. et al. Education Development In Uzbekistan //Voice of Research. – 2015. – Т. 43.
Acemoglu D., Pischke J. S. Changes in the wage structure, family income, and children's education //European Economic Review. – 2001. – Т. 45. – №. 4-6. – С. 890-904.
Reardon T. et al. Effects of non‐farm employment on rural income inequality in developing countries: an investment perspective //Journal of agricultural economics. – 2000. – Т. 51. – №. 2. – С. 266-288.
Sari R., Soytas U. Income and education in Turkey: A multivariate analysis //Education Economics. – 2006. – Т.
– №. 2. – С. 181-196. 14. Hoang T. X., Pham C. S., Ulubaşoğlu M. A. Non-farm activity, household expenditure, and poverty reduction in rural Vietnam: 2002–2008 //World Development. – 2014. – Т. 64. – С. 554-568.
Barber B. L., Stone M. R., Eccles J. S. Adolescent participation in organized activities //What Do Children Need to Flourish?. – Springer, Boston, MA, 2005. – С. 133-146.
Daoud J. I. Multicollinearity and regression analysis //Journal of Physics: Conference Series. – IOP Publishing, 2017. – Т. 949. – №. 1. – С. 012009.
Al‐Malkawi H. A. N. Determinants of corporate dividend policy in Jordan: an application of the Tobit model //Journal of Economic and Administrative Sciences. – 2007.
Adeboye N. O., Fagoyinbo I. S., Olatayo T. O. Estimation of the effect of multicollinearity on the standard error for regression coefficients //Journal of Mathematics. – 2014. – Т. 10. – №. 4. – С. 16-20.
Fullerton A. S. A conceptual framework for ordered logistic regression models //Sociological methods & research. – 2009. – Т. 38. – №. 2. – С. 306-347.
Nwakuya M. T., Mmaduka O. Ordered logistic regression on the mental health of undergraduate students //International Journal of Probability and Statistics. – 2019. – Т. 8. – №. 1. – С. 14-18.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Copyright (c) 2022 Иқтисодиёт ва таълим