Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/7289
Title: | Structural equation modeling of the relationship between nursing students’ quality of life and academic resilience |
Authors: | Grande, Rizal Angelo N. Berdida, Daniel Joseph E. Santos, Kevin Carl P. Pangket, Petelyne Cabansag, Dolores I. |
Keywords: | Academic resilience KSA Latent class analysis Nursing students Quality of life Structural equation modeling |
Issue Date: | 2022 |
Publisher: | Journal of Taibah University Medical Sciences |
Series/Report no.: | Original Article;667-677 |
Abstract: | Objective: Across the Middle Eastern countries, there is a lack of studies exploring the connection between the quality of life (QoL) and academic resilience of nursing students. This study determines the association between nursing students’ profile variables and their QoL and academic resilience (AR). Methods: A descriptive cross-sectional design with structural equation modeling (SEM) was adopted. This study was conducted at the College of Nursing at the University of Ha’il, KSA. Survey questionnaires using the 12-item Brunnsviken Brief Quality of Life Scale (BBQ) and 30-item Academic Resilience Scale (ARS-30) were utilised to collect data from nursing students (n ¼ 384). SEM via latent variable analysis (lavaan) software version 0.6e7 was used for statistical derivation and analysis. Results: SEM revealed no correlation with QoL and AR when compared using the participants’ profile variables (gender, year level, and enrolled units). There was a correlation between the grade point average (GPA) and QoL. However, no association was found between QoL and AR. Conclusion: GPA exhibited a positive correlation with QoL; thus, nursing students with higher GPA have a more stable and desirable QoL. Additionally, our findings illustrate the individuality of nursing students despite their shared characteristics. |
URI: | http://localhost:8080/xmlui/handle/123456789/7289 |
ISSN: | 1658-3612 |
Appears in Collections: | Vol 17 No 4 (2022) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
667-677.pdf | 667-677 | 1.28 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.