Study of effective factors on transfer of education among the staff of University of Medical Sciences in Tehran (model presentation)

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Introduction

The transfer of education is one of the most important issues in the field of education. Therefore, the main issue of this study is to Study of effective factors on transfer of education among the staff of university of medical sciences in Tehran

Methods

This research is applied in purpose, in terms of data collection, field research and in terms of variables control, is non-experimental. Since it examined a particular model of the relationship between variables - causal modeling or structural equation modeling - that was developed a conceptual model after collecting theoretical literature and studying Iranian and foreign researches. The statistical population of the study was all the staff of university of medical sciences in Tehran which are 362 persons in 1398. The calculated sample size is 186 persons based on Cochran's formula. The main research tool is two questionnaires that consist of 114 questions based on the Likert Scale (1 to 5) which was used in the kamali maskoni Research, 2016. The first questionnaire was about independent variables including organizational commitment, job motivation, organizational atmosphere, management support and educational content and the second questionnaire was related to the dependent variable of effectiveness of the transfer of education. Also, Cronbach's alpha for the questionnaire was calculated by SPSS20 software.

Results

  In this study, linear regression and structural equation analysis were used and the results demonstrated that educational content variable was the greatest effect with coefficient of determination (0.626) and organizational commitment with coefficient of determination (0.153) was the least effect on educational transfer in university of medical sciences in Tehran

Language:
Persian
Published:
Iranian Bimonthly of Education Strategies In Medical Sciences, Volume:16 Issue: 2, 2023
Pages:
183 to 189
magiran.com/p2588428  
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