Document Type : Original Article
department of agriculture, Varamin Branch, Islamic Azad University, Varamin, Iran
This study generally aimed to study effective factors on the lack of tendency of graduate students in the Pakdasht’s Shahid Bahonar College of Agriculture to employment and production in the animal husbandry sector. This study was empirical from an objective point of view and causal- correlative from a data collection point of view and a survey study among descriptive studies. The population of the study includes all graduate students of Pakdasht’s Shahid Bahonar College of Agriculture (N=200). Given that sample size was small, census method was used and all population was selected as sample. To determine the validity of the questionnaire recommendations of the experts and professionals, professors and consultants were used and the validity of the study’s tool was determined as (86%) applying Cronbach's alpha coefficient. The questionnaire was used in this study to collect data. To access objectives and questions of the study descriptive statistics of frequency, mean, variance, standard deviation and inferential statistics of correlation coefficient test and multiple regression analysis were used. The results of this study indicated that the variables (lack of improvement in available job opportunities, lack of satisfaction from knowledge level during education, lack of supportive government policies in employment section, lack of specialized potentials of the students, lack of communication of the university with working centers and lack of interest to work in the jobs related to agriculture course) are significantly correlated with the dependent variable of lack of tendency to work and produce in animal husbandry sector in graduate students. Lack of supportive governmental policies in employment and lack of specialized potentials of the students determines 41.6 %( coefficient of determination R2= 0.416) fluctuations of the dependent variable (lack of tendency of graduate to employment and production in animal husbandry sector) and others will be related to remaining variables.