Post on 19-Nov-2020
Determinants of success of studying at the School of Economics and Business,
University of Sarajevo
Research Paper
Ajla ŠušićUniversity of Sarajevo
School of Economics and Business
INTRODUCTION
• What factors affect student success?
• The aim of the research paper is to identify the key factors that determine a student's performance during their studies.
Successduring
education
Average grade
Student's knowledge
Continuous work
Effort
OVERVIEW OF PREVIOUS RESEARCH
Gender
Student Attendance
A survey of socio-demographic
determinants of school achievement by Kalajdžićet al. (2015) confirmed
that student gender can be a couse of differences in school achievement.
Based on a study conducted at Polk Community College
in Florida, it has been found that absence is poorly correlated with exam performance, while
nonviolent absenteeism significantly influences final
grades (Nelson 1973).
OVERVIEW OF PREVIOUS RESEARCH, cont.
Parental education level
Place of residence during study
Research particularly emphasizes the
importance of mothers education, since it is more
often that father is not involved in the child's daily school activities
(Markuš, 2005).
Few studies examining the difference in adjustment
between students living in and outside the dorm find
out that students in the dorm are better in social
adjustment and have stronger institutional
attachment compared to students living outside the
dorm. (Baker, 2004).
EMPIRICAL RESEARCH
• Interviewing undergraduate students at the Faculty of Economics in Sarajevo
• Primary data
• 210 respondents (63 male and 147 female)
• 18 to 38 years
Male30%
Female70%
Graph 1 Distribution of students by gender
0
10
20
30
40
50
60
70
80
18 19 20 21 22 23 24 25 26 27 28 38
Graph 2 Distribution of students by age
Multiple linear regression model
The estimated model:
Success = 7,05 + 1,64Attendance + 0,006Physical Activity – 0,12Second year + 0,02Third year –
0,09Economics + 0,24High school business - 0,11Regular self-financing students + 0,02DL -
0,6Monthly learning - 0,83Weekly learning + 0,23Elementary school (father) + 0,1High school (father)
– 0,44Elementary school (mother) – 0,32High school (mother) – 0,17With parents - 0,04Rent an
apartment – 0,15Other (place of residence) - 0,11Labor intensity + 0,32Mathematics – 0,2Mother
tongue + 0,01The average grade in high school
Regression diagnostics
• Ramsey test p=0.0556>0.05
• Skewness/Kurtosis test p=0.0049<0.05
• White's test p=0,0963>0.05
• VIF (Variance Inflation Factor) test VIF=3.9<5
Graph 4 HomoscedasticityGraph 3 Kernel density estimate
Research results
Success Coefficient Standard Error t-value p-value
Attendance 1,643* 0,127 12,910 0,000
Physical Activity 0,006* 0,003 2,030 0,044
Second year -0,118* 0,057 -2,070 0,040
Third year 0,022 0,053 0,410 0,679
Economics -0,089 0,052 -1,690 0,093
High school business 0,244 0,158 1,540 0,124
Regular self-financing
students-0,107* 0,042 -2,560 0,011
DL 0,025 0,201 0,120 0,901
Monthly learning -0,598* 0,064 -9,290 0,000
Weekly learning -0,834* 0,078 -10,750 0,000
Elementary school
(father) 0,228* 0,095 2,410 0,017
High school (father) 0,101* 0,041 2,450 0,015*statistically significant at 0,05
Source: Authors’ calculations
Research results, cont.
Success Coefficient Standard Error t-value p-value
With parents -0,167* 0,070 -2,370 0,019
Rent an apartment -0,038 0,096 -0,400 0,691
Other (place of
residence) -0,148 0,115 -1,280 0,201
Labor intensity -0,108 0,099 -1,090 0,278
Mathematics (dummy) 0,316* 0,157 2,010 0,045
Mother tongue
(dummy)-0,200 0,126 -1,590 0,113
The average grade in
high school0,012 0,043 0,280 0,780
Constant 7,048 0,287 24,590 0,000*statistically significant at 0,05
Source: Authors’ calculations
Statistical tests
Gender Average
Female 7,53
Male 7,10Source: Authors’ calculations
Table Average student grades
• Mann-Whitney test p<0.05 significant difference in average
CONCLUSION
• Our model proves that variables such as attendance, mode of study, physicalactivity, parental education, place of residence during study, mode of learningschedule, influence average grade during study.
• Variables such as gender were not significant for our model, however, using anon-parametric test, we proved that there was a significant difference in theaverage grade of male and female students.
• There is a need to investigate further what influences success during study, andother factors not covered in this study.
THANK YOU!
Ajla ŠušićUniversity of Sarajevo
School of Economics and BusinessPhone: +38762737501
E-mail: ajla.susic@outlook.com