FACTORS AFFECTING THE QUALITY OF HIGHER EDUCATION IN
ARMENIA:A MULTIPLE LINEAR REGRESSION ANALYSIS
https://doi.org/10.59982/18294359-25.2-fa-03
Abstract
This study examines the determinants of the quality of higher education in Armenia through multiple
linear regression analysis, using a thirteen-year period (2010-2023) data from different
sources, such as ArmStat, World Bank, and UNESCO UIS. To measure the undergraduate quality, the
study uses proxies, namely tertiary graduation rates and graduate employment rates. These are
regressed on predictors that reflect faculty qualifications, student demographics,
institutional resources, and socio-economic context. Descriptive statistics reveals significant
increase in tertiary enrollment. Regression analysis point to strong relationships between stronger
faculty credentials and higher graduation rates, as well as between greater female enrollment and
higher employment rates. With regard to education budget sharing and GDP per capita, our models did
not show significant effect. The implications of the findings, discussed in light of
Armenia’s education reforms and international quality standards, emphasize the critical
importance of teacher qualifications in improving Armenian higher education outcomes.
Keywords: Higher education quality, Armenian tertiary education, regression analysis,
education outcomes.
PAGES :29-36