Volume 5, Issue 4 (10-2016)                   aumj 2016, 5(4): 249-258 | Back to browse issues page


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Sohrabi Z, Safarinezhad Fard M, Qorbani M, Bahrami Baba Heydari T, Salehi L. Psychometric the Scale of Attitudes Toward Learning with Social Media in Medical Students in Iran. aumj 2016; 5 (4) :249-258
URL: http://aums.abzums.ac.ir/article-1-509-en.html
1- Associate professor, Department of Medical Education, Faculty Medicine, Center for Educational Research in Medical Sciences (CERMS), Iran University of Medical Sciences (IUMS), Tehran, Iran
2- Msc Medical Education Department, Iran University of Medical Sciences, Tehran, Iran
3- Department of Community Medicine, Alborz University of Medical Sciences, Karaj, Iran
4- Department of Nursing, Alborz University of Medical Sciences, Karaj, Iran
5- Health Education &Promotion Departmnt, Research Center for Health, Safety and Environment (RCHSE). Alborz University of Medical Sciences, Karaj, Iran
Abstract:   (4129 Views)

Background and Purpose: Social media has important role in educational programs. This study aimed to psychometric of the attitudes towards social media learning scale.

Methods: This psychometric study included 119 participants from medical schools around Iran. The initial instrument was adopted from previous studies and had eight questions based on the Likert scale. The instrument verification procedure included examining the impact factor, the content validity index (CVI) and the content validity ratio (CVR) based on the judgment of 10 experts. Its internal validity was examined by an exploratory factor analysis. The internal reliability of the scale was determined by the Cronbach’s Alpha coefficient and the external consistency was assessed by using the test-retest method.

Results: In the initial scale, all of the 8 items were kept with an impact item index of over 1/5, the CVR over 0.62, and CVI of over 0.7. Based on exploratory factor analysis, all of the 8 items were maintained in the scale. Considering a minimum eigenvalue of 1 for each factor, the following three factors: communications in learning, reflective learning, and interactive learning were extracted. This instrument was capable of predicting 69.416% of the changes of the whole scale.

Conclusion: The results of this study indicated the strength of the factor structure and reliability of the instrument for measuring attitudes toward learning via social media. The results of study can assess students’ attitudes in this regard in universities and other educational institutes.

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Type of Study: Research | Subject: Special
Received: 2017/01/15 | Accepted: 2017/01/15 | Published: 2017/01/15

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