Assessing Student Resilience in Indonesia: Validating the Resilience at University Scale (RAUS) Using Rasch Analysis
DOI:
https://doi.org/10.56294/saludcyt20262566Keywords:
Resilience, University Students, Psychometric Validation, Rasch ModelAbstract
Introduction: this study aims to adapt and test the validity and reliability of the Resilience at University Scale (RAUS) in the Indonesian context, resulting in the ID-RAUS instrument to measure student resilience. Student resilience is a key factor in coping with challenges in higher edu-cation, especially amidst global crises, pandemics, and increasingly complex academic pres-sures.
Method: the study involved 1046 university students from 19 provinces in Indonesia. Participants were selected through invitations sent via WhatsApp, where they were asked to complete the instrument through a Google Form link. The Rasch model was used to evaluate the fit of each item on the ID-RAUS, assess measurement consistency, and ensure cultural appropri-ateness in the local context.
Results: the results showed that ID-RAUS met the standards of validity and reliability, with low measurement standard errors (SE = 0.05 logit). Rasch's analysis showed that the instrument had good internal consistency, with a Cronbach's Alpha value of 0.90 and an item reliability of 0.99. In addition, the analysis of Differential Item Functioning (DIF) revealed differences in responses between genders, university status, and provinces. In particular, male students showed higher resilience scores compared to female students (20% vs. 14%), and students from private universities showed slightly higher levels of resilience (15%) compared to students from public universities (14%). These results suggest that several items need to be adjusted to ensure fairness in the measurement between different demographic groups.
Conclusions: these findings confirm that ID-RAUS is a valid and reliable instrument for assessing stu-dent resilience in Indonesia. ID-RAUS provides valuable insights for designing educational policies and intervention programs tailored to cultural and demographic factors. Future re-search should examine convergent and discriminant validity and revise items that show DIF to ensure broader applicability.
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