Personal, Sociodemographic and Educator Factors Affecting the Academic Performance of Bachelor of Science in Nursing Students in Quetta
This study aimed to measure the academic performance of nursing students and determine the association between various demographic factors and academic performance of BScN nursing students in Quetta, Balochistan. Using census sampling, this cross-sectional analytical study involved 178 BScN students from three public-sector nursing colleges in Quetta. Data were collected via a structured questionnaire and analyzed using SPSS IBM (Version 26). Categorical variables were reported as frequencies and percentages, while continuous variables were presented as medians and standard deviations. Associations were evaluated using Spearman’s correlation (rs), and differences in academic performance between nursing colleges were analyzed using a One-Way ANOVA. Statistical significance was set at p < 0.05. The results revealed that the mean age of 178 students ranged from 18 to 32 years. Most of the students resided in the hostel (59.6%, n = 106). The predominant ethnicity was the Baloch community, comprising 55.1% (n = 98) of the students. Regarding educational background, 75.8% (n=135) completed SSC and 85.4% (n=152) completed HSSC at public institutions. English-medium instruction (p = 0.01, rs = 0.15) and class participation (p = 0.03, rs = 0.17) positively correlated with academic performance. The fathers’ education (p = 0.01, rs = 0.20) also showed significant associations with academic performance. The study underscores complex factors affecting nursing students' academic performance, influenced by demographic and institutional elements. Early identification allows educators to develop targeted remediation plans, effectively support students, and promote higher academic achievement in resource-limited nursing education settings.
Institutions
- Shifa Tameer-e-Millat University (PK)
- Shifa Tameer-e-Millat University (PK)
- National Institute of Health (PK)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-31
- DOI
- https://doi.org/10.5281/zenodo.15411668
- Primary Topic
- Evolutionary Psychology and Human Behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00