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What impacts students’ satisfaction the most from Medicine Student Experience Questionnaire in Australia: a validity study

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Purpose This study evaluated the validity of student feedback derived from Medicine Student Experience Questionnaire (MedSEQ), as well as the predictors of students’ satisfaction in the Medicine program. Methods Data from MedSEQ applying to the University of New South Wales Medicine program in 2017, 2019, and 2021 were analyzed. Confirmatory factor analysis (CFA) and Cronbach’s α were used to assess the construct validity and reliability of MedSEQ respectively. Hierarchical multiple linear regressions were used to identify the factors that most impact students’ overall satisfaction with the program. Results A total of 1,719 students (34.50%) responded to MedSEQ. CFA showed good fit indices (root mean square error of approximation=0.051; comparative fit index=0.939; chi-square/degrees of freedom=6.429). All factors yielded good (α>0.7) or very good (α>0.8) levels of reliability, except the “online resources” factor, which had acceptable reliability (α=0.687). A multiple linear regression model with only demographic characteristics explained 3.8% of the variance in students’ overall satisfaction, whereas the model adding 8 domains from MedSEQ explained 40%, indicating that 36.2% of the variance was attributable to students’ experience across the 8 domains. Three domains had the strongest impact on overall satisfaction: “being cared for,” “satisfaction with teaching,” and “satisfaction with assessment” (β=0.327, 0.148, 0.148, respectively; all with P<0.001). Conclusion MedSEQ has good construct validity and high reliability, reflecting students’ satisfaction with the Medicine program. Key factors impacting students’ satisfaction are the perception of being cared for, quality teaching irrespective of the mode of delivery, and fair assessment tasks which enhance learning.

Abstract

Purpose This study evaluated the validity of student feedback derived from Medicine Student Experience Questionnaire (MedSEQ), as well as the predictors of students’ satisfaction in the Medicine program. Methods Data from MedSEQ applying to the University of New South Wales Medicine program in 2017, 2019, and 2021 were analyzed. Confirmatory factor analysis (CFA) and Cronbach’s α were used to assess the construct validity and reliability of MedSEQ respectively. Hierarchical multiple linear regressions were used to identify the factors that most impact students’ overall satisfaction with the program. Results A total of 1,719 students (34.50%) responded to MedSEQ. CFA showed good fit indices (root mean square error of approximation=0.051; comparative fit index=0.939; chi-square/degrees of freedom=6.429). All factors yielded good (α>0.7) or very good (α>0.8) levels of reliability, except the “online resources” factor, which had acceptable reliability (α=0.687). A multiple linear regression model with only demographic characteristics explained 3.8% of the variance in students’ overall satisfaction, whereas the model adding 8 domains from MedSEQ explained 40%, indicating that 36.2% of the variance was attributable to students’ experience across the 8 domains. Three domains had the strongest impact on overall satisfaction: “being cared for,” “satisfaction with teaching,” and “satisfaction with assessment” (β=0.327, 0.148, 0.148, respectively; all with P<0.001). Conclusion MedSEQ has good construct validity and high reliability, reflecting students’ satisfaction with the Medicine program. Key factors impacting students’ satisfaction are the perception of being cared for, quality teaching irrespective of the mode of delivery, and fair assessment tasks which enhance learning.

참고문헌 (10)

  1. "The UNSW Medicine Student Experience Questionnaire (MedSEQ): a synopsis of its development, features and utility" (2009)[URL]
  2. Johnson RL, "Survey scales: a guide to development, analysis, and reporting" (2016), Guilford Publications
  3. DeVellis R, "Scale development : theory and applications" (2016), Sage Publications;
  4. Comrey AL, "A first course in factor analysis" (1973), Academic Press
  5. Denis DJ, "SPSS data analysis for univariate, bivariate, and multivariate statistics" (2019), Wiley
  6. Byrne BM, "Structural equation modeling with AMOS: basic concepts, applications, and programming" (2016), Routledge
  7. Brown TA, "Confirmatory factor analysis for applied research" (2015), Guilford Publications
  8. Schiekirka S, "A systematic review of factors influencing student ratings in undergraduate medical education course evaluations", BMC Med Educ, 15, pp.30~ (2015)[DOI]
  9. Markert RJ, "What makes a good teacher? : lessons from teaching medical students", Acad Med, 76, pp.809~810 (2001)[DOI]
  10. "Graduation Questionnaire (GQ)" (2022)[URL]

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