Page 18 - IJSA, Vol. 6, No 1, 2023

International Journal of Science Annals, Vol. 6, No. 1, 2023
рrint ISSN: 2617-2682; online ISSN: 2707-3637; DOI:10.26697/ijsa

Table 2
Descriptive Statistics of the Variables Based on Total Score and Gender

a
c
Note. Mann-Whitney test between the score of male and female, n=406, n=68.
b
*p<0.05, **p<0.01, ***p<0.001.

The regression results for predicting academic burnout self-compassion. 7.6% of self-compassion can predict
are shown in Table 3. Academic burnout is significantly academic burnout, while 92.4% was predicted by other
and negatively influenced by self-compassion variables. In accordance with Gravetter and Forzano
(R =0.076, F=38.960, p<0.001). Academic burnout will (2018), self-compassion has a small effect on academic
2
2
decrease by 4.770 points for every additional 1 score of burnout, as shown by its R of 0.076.

Table 3
Regression Test Results for the Prediction of the Academic Burnout

a
Note. male=1, female=0.
*p<0.05, **p<0.01, ***p<0.001.

By adding the age and semester variables as predictors A fourth predictor, gender, was added to the regression
along with self-compassion, all three significantly affect analysis.
2
academic burnout, R =0.084, F=15.409, p<0.001. The These four predictors together have a significant effect
2
addition of these two predictors increases R by 0.008, on academic burnout, R =0.100, F=13.073, p<0.001. An
2
2
although the effect is still small. Self-compassion, R of 0.100 indicates that these four predictors together
semester, and age together can predict academic burnout have a moderate effect (Gravetter & Forzano, 2018). As
by 8.4%. Self-compassion and age have negative effect a result, female undergraduate students will likely
on academic burnout (b=-4.899 and -0.848, experience greater academic burnout than male
respectively), while the semester has a positive effect undergraduate students. The age variable, however,
(b=0.654). This shows that increasing self-compassion emerged as the only predictor from this regression
and age causes a decrease in academic burnout while analysis that did not have a significant effect.
increasing semesters will cause an increase in academic Table 4 displays the results of regression test with the
burnout. Although these three predictors had a self-compassion components as a predictor.
significant effect, self-compassion has the most effect .
(β=-0.284).

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