Social analysis of the tendency of academics to migrate:Case study of graduate students of Science and Research Branch of Islamic Azad University of Tehran

The aim of the present study was to investigate the factors affecting the tendency of emigrant students working at the graduate level of Islamic Azad University, Research Sciences Branch, Tehran.

The method of this research is predictive and its statistical population (N) is also a graduate student of the Science and Research Branch of the Islamic Azad University in 1398. The sample population (n) was also 300 subjects selected using Cochranchr('39')s formula. The data of this study were collected using the researcher-made questionnaire with 4 variables and 26 questions. Data analysis, regression analysis, Friedman test, and other related inferential statistics were used to analyze the statistics.

Based on data analysis, a survey of 47.5% of students at a very high level stated that they tend to emigrate.  In this regard, based on the findings of regression analysis, repulsive (internal) factors with beta coefficient of 0.329%, attraction (external) factors with beta coefficient of 0.271 % and individual factors with 0.249 % coefficient have the highest predictive power of students that they were emigrants.  Also, based on the results of the Friedman test, political factors with an average score of 3.64 and social factors with an average rating of 3.39 had the most role and influence on the tendency of elite emigration.

Based on the research findings, scientific elites have a negative assessment of the internal conditions of the country in political, social, economic and cultural dimensions and have a positive attitude towards the conditions of developed countries.  Therefore, it can be said that multidimensionality and even the accumulation of various issues cause the elite to decide to emigrate despite all the internal dependencies. It seems that formal governance can prevent students from exiting this capital by identifying and prioritizing their problems.