Social Self-Efficacy and Internet Gaming Disorder Among Chinese Undergraduates: The Mediating Role of Alexithymia and the Moderating Role of Empathy
Bibliographic record
Abstract
As an increasingly serious social problem, Internet gaming disorder (IGD) of college students may be related to their social self-efficacy. However, the relationship and its internal mechanisms underlying are still unclear. The current study tested the mediating effect of alexithymia in the association between social self-efficacy and IGD, and whether this mediating process was moderated by empathy. Social Self-Efficacy Scale (PSSE), Chinese version of Internet Game Addiction Scale (IGAS-C), Toronto Alexithymia Scale (TAS-20) and Interpersonal Response Scale (IRI-C) were adopted to examine the model on 888 Chinese college students. The results indicated that social self-efficacy was significantly negatively associate with IGD. Mediation analysis illustrated that alexithymia mediated the association between social self-efficacy and IGD. Further, moderated mediation analysis manifested that the mediated effects was stronger for lower level of empathy. The conclusions corroborate and clarify the mechanisms that alexithymia mediated the association between social self-efficacy and IGD, and the mediation effects is moderated via empathy. Besides, these findings provide available references for colleges to conduct educational activities, and at the same time provide scientific suggestions for preventing IGD among undergraduates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".