Psychometric properties of the university student engagement inventory among Chinese students

Purpose: Since the onset of the COVID-19 pandemic in China, student engagement in online learning has been a critical issue for all educational institutions. The university student engagement inventory (USEI) is the most used scale for assessing the construct of student engagement. The present study aimed to evaluate the psychometric properties of the USEI among 1504 Chinese university students who completed a survey through an online platform between December 2020 and January 2021. Design/methodology/approach: In this cross-sectional study, content validity, construct validity and reliability of the scale were assessed. Findings: The results supported the three-factor model with acceptable goodness-of-fit (χ2 (71) = 369.717, p = 0.13, χ2/df = 5.207, comparative fit index (CFI) = 0.967, normed fit index (NFI) = 0.960, Tucker–Lewis index (TLI) = 0.958, standardized root mean square residual (SRMR) = 0.030, root mean square error of approximation (RMSEA) (90% CI) = 0.053 [0.049, 0.057]), good internal consistency and construct reliability (Cronbach's alpha and omega coefficient >0.70), and strong convergent validity. Also, the measurement invariance was confirmed across gender. Originality/value: This study showed that the 3-factor structure of USEI with Chinese university students had good construct validity, internal consistency and reliability. It could help measure student engagement in online learning in China. © 2023, Long She, Fatemeh Khoshnavay Fomani, João Marôco, Kelly-Ann Allen, Hamid Sharif Nia and Pardis Rahmatpour.

From nuisance to helpful assistants: A qualitative thematic analysis of medical volunteers' experiences during the COVID-19 outbreak in Iran

Background & Aim: Volunteers' perceptions may affect their future decisions to participate in crisis intervention. Few studies in Iran have been conducted to examine the experiences of medical personnel who volunteered during the COVID-19 pandemic. This qualitative study describes the experiences of medical volunteers during COVID-19 in Iran. Methods & Materials: A total 17 healthcare volunteers who worked in COVID-19 hospital wards were recruited using purposive sampling. All participants were recruited in the current study from the hospitals affiliated with the Tehran University of Medical Sciences if they expressed their willingness to participate and had at least two months experience of working as healthcare volunteers in COVID-19 wads. In-depth video-call semi-structured interviews were conducted from August to November 2020. The data were analyzed using the qualitative thematic analysis method. Results: One main theme "from nuisance to helpful assistants” and four sub-themes including the "feeling of inefficiency”, "negligent managing”, "situation orientation”, and "transformation for integrity” emerged from the data. Conclusion: Despite experiencing challenges, the volunteers and hospital staff tried to change their approaches to joint collaboration by improving their capabilities for situation awareness and creating integrity. These findings provide policymakers with a better understanding of health volunteers' challenges in hospitals during crises. © 2023 Tehran University of Medical Sciences. Published by Tehran University of Medical Sciences.