Investigating the Effect of Factors (Age, Gender, Type of University, Employment Status) on Students' Academic Motivation Decrease with Multilevel Model Approach

Attention to importance of university students presence who are the future of a country, it is important to perpend to students' motivation and factors of increase and decrease. This study was conducted to determine of effective factors on students' motivation decrease. This study is sectional-analytical that survey relationship between the decline of academic motivation and variables of age, gender, type of university and busyness. The statistical population includes all 570 students who have been dropped out of the educational system in the 2015s and who were extracted from the educational system. the sampling method is census-based. for analyze of data was used statistical method of three-level regression. was implemented data analysis and model fitness in SAS software version 9.1. The results of the findings showed that the average number of dropping out of school were 23 people. age, gender, type of university has no significant effect on students' motivation (p = 0.506; 0.185; 0.145) but was significant the relationship between busyness and drop out of school (p = 0.003). Namely unemployment and lack of busyness was reason for drop out of school. Taking into account the dependency between data and use multilevel regression model were employed to find a random effect of busyness variable that indicates to busyness problem and concerns not getting employment in the future is reason to reduce the students motivation in studying. and the use of multilevel models reveal this the difference. Educational authorities should consider the issue of job counseling and unemployment as an important issue.