Causal Conditions for Evaluating Higher Education Policies in Non-Medical Fields (data-based theory)

The aim of this study was to investigate the causal conditions for evaluating higher education policies in non-medical disciplines. The research method is qualitative research (data foundation theory) - quantitative (survey). A total of 17 experts, including members of parliament, administrators and university professors, were selected for face-to-face interviews using a non-random, purposeful method. Questionnaires were designed from coded and validated interviews using triangulation. In the quantitative section, among the professors and educational directors of non-medical disciplines of East Azerbaijan province, 200 people were selected based on the standard of determining the sample size in factor analysis (observing at least 200 samples). In order to analyze the data obtained from the interviews, a three-step process of open, centralized and selective coding was used. Dimensions and components were determined and the model was examined. SPSS and Lisrel statistical software were used to describe the data. The results of the first and second confirmation factor analysis showed that the causal conditions for evaluating higher education policies in non-medical fields include the country's need for trained personnel, lack of strong educational planning, lack of skills training at the higher education level, and the need to coordinate higher education policies with the labor market. The final result is that the causal conditions for evaluating higher education policies in non-medical disciplines require precise policy-making and planning in the field of proficiency and Adaptation to the regional labor market.