Spirituality Studies 11-2 Fall 2025 61 Peter Žitný et al. Also resilient-coping correlated approximately zero with loneliness (total) (r = −0.01, 95% CI [−0.09, 0.06], p = 0.741), social loneliness (r = 0.02, 95% CI [−0.06, 0.10], p = 0.617), and emotional loneliness (r = −0.04, 95% CI [−0.12, 0.03], p = 0.256), indicating no statistically reliable associations across dimensions. The results of the correlation analysis are presented in Table 3. 3.4 Regression Analysis We used ordinary least squares multiple regression (simultaneous entry) with listwise deletion to test whether spirituality and resilient coping predict cybervictimization while controlling for emotional and social loneliness. All variables were scored such that higher values indicate more of the construct, except resilient coping, which was reverse-scored (higher scores indicate weaker coping; lower scores indicate stronger coping). Visual diagnostics supported linearity, approximate normality and homoscedasticity of residuals; multicollinearity was low (all VIFs ≤ 1.94). The model was statistically significant, F (4, 643) = 6.14, p < 0.001, explaining 0.04 (4.0%) of the variance in cybervictimization (adjusted R² = 0.03). Emotional loneliness was positively associated with cybervictimization (B = 0.13, 95% CI [0.03, 0.23], β = 0.14, p = 0.009), whereas spirituality (B = 0.03, 95% CI [−0.03, 0.08], β = 0.03, p = 0.388), resilient coping (B = −0.02, 95% CI [−0.07, 0.04], β = −0.02, p = 0.559), and social loneliness (B = 0.05, 95% CI [−0.04, 0.15], β = 0.06, p = 0.253) were not significant when entered concurrently. The results of multiple regression are presented in Table 4. Table 4 Multiple Regression Predicting Cybervictimization (OLS; N = 648) Predictor B SE LL UL β t p Intercept 5.58 0.54 4.52 6.65 10.32 <.001 Spirituality 0.03 0.03 −0.03 0.08 0.03 0.86 0.388 Resilient coping −0.02 0.03 −0.07 0.04 −0.02 −0.59 0.559 Emotional loneliness 0.13 0.05 0.03 0.23 0.14 2.61 0.009 Social loneliness 0.05 0.05 −0.04 0.15 0.06 1.14 0.253 * B = unstandardized coefficient; SE = standard error; CI = 95% confidence interval; β = standardized coefficient. Model fit: R² = 0.04, adj. R² = 0.03, F (4, 643) = 6.14, p < 0.001.
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