Design and Psychometrics of a Questionnaire for Assessing the Performance of Faculty Members in Providing Virtual Education during the Covid-19 Pandemic

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background and Purpose

Given the Covid-19 and immediate investment in providing virtual university education, it is important to measure the performance of faculty members in this area. Accordingly, this study was conducted to design and psychometrics of a questionnaire to assess the performance of faculty members in providing virtual training.

Material and Methods

A descriptive study of instrument making was performed on 161 members of the faculty of medical universities in 1400. Sampling was done in an accessible way and through a virtual link by sending e-mail to academic address professors in education vice chancellor system of universities. Formal validity, content validity (CVR, CVI), criterion validity (convergent and divergent), heuristic factor analysis and reliability were measured by Cronbach's alpha method and halving. Descriptive statistics, Pearson correlation coefficient, Student t-test and one-way analysis of variance were used to report the data.

Results

The findings of this study indicate an acceptable formal, content, and criterion validity. The findings identified four factors, including incentive creation, participation and regulation, learning assessment, and professional skills, which together explained 65.18% of the common variance. The internal consistency of the questionnaire was calculated by Cronbach's alpha method of 0.897 and Guttman coefficient in the halving method was calculated to be 0.873.

Conclusion

Due to the acceptable validity and reliability of the questionnaire, this tool can be used for faculty members in providing virtual training by educational evaluation systems, as well as researchers to measure the effective factors or improve the performance of professors in providing virtual training.

Language:
Persian
Published:
Journal of Modern Medical Information Sciences, Volume:7 Issue: 3, 2022
Pages:
40 to 48
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