The Influence of Cybervictimization through Online Communication and Loneliness toward Depression among Undergraduate Students of Chiang Mai Rajabhat University
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Abstract
This quantitative research aimed to investigate the influence of Cybervictimization through online communication and Loneliness toward Depression among undergraduate students at Chiang Mai Rajabhat University. Data were collected using a questionnaire from a sample of 400 participants, selected using stratified sampling.
Descriptive analysis revealed that the majority of respondents were female, with an average age of 20.20 years. 64.75% reported having been cybervictimized (at least once in the past year). Furthermore, 44.50% of respondents reported having high levels of loneliness and 3.75% were assessed as having symptoms of severe depression.
Pearson’s Correlation analysis indicated that all three variables (loneliness, cybervictimization, and depression) were positively and statistically significantly correlated at the 0.01 level. Loneliness showed the strongest moderate positive correlation with depression (). Cybervictimization had a moderate positive correlation with both loneliness () and depression ().
Multiple Regression analysis demonstrated that the model using loneliness and cybervictimization scores as predictors was highly statistically significant in predicting depression (). These two predictor variables collectively explained 30.4% of the variance in depression scores (). Both loneliness and cybervictimization were found to be positive and statistically significant factors leading to an increase in depression (Sig. = 0.000 for both variables) Loneliness was the strongest predictive factor ), followed by cybervictimization ().
The results suggest that an increase in either the level of loneliness or the experience of cybervictimization is significantly associated with an increase in depression scores. Loneliness was identified as the most powerful predictor of depression among this group of university students.
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