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However, no mathematically extreme relationships are discovered between the ages and sex parameters and academic burnout (Desk 5)

SPSS-16 software was used to analyze and describe the data. Initially, the Kolmogorov–Smirnov test was used to check the normality of quantitative variables (i.e., age, resilience, burnout, and their components). The results showed a normal distribution for age, components of resilience, and burnout. The independent t-test was used to compare normal quantitative variables (i.e., resilience, burnout, and emotional exhaustion components) in nursing and midwifery students. The chi-square test was used to compare nominal qualitative variables (gender and occupation) in the two groups. The independent t-test was used to compare resilience and academic burnout between men and women as well as between students who were living in the dormitory and those who were not living in the dormitory. ANOVA test was used to compare resilience and academic burnout in students with various age ranges and academic semesters. Spearman’s correlation coefficient was used to assess the association between resilience and academic burnout. Linear regression was used to investigate the factors affecting academic burnout. The significance level was set at < 0.05.

dos.6. Moral Considerations

The integrity panel from Kermanshah University off Medical Sciences verified brand new data. Written advised consent are obtained from all the users, and you can confidentiality of data is actually hoping.

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