Tilt in Video Gaming: Development and Validation of the Video Gaming Tilt Scale (VGTS)
Bibliographic record
Abstract
Tilt refers to a decrease in playing abilities, due to sudden manifestations of negative emotions (anger or frustration) and engagement in more aggressive behaviour within game play. Tilt is commonly experienced by gamers. The purpose of this article is to assess the psychometric properties of the Video Gaming Tilt Scale (VGTS). A sample of 454 players (81.7% men) completed a set of questionnaires comprising the VGTS and questionnaires assessing internet gaming disorder, anger, impulsivity, anxiety, and depression. The total sample was randomly divided into two distinct samples of a similar size, Group A and Group B, to conduct exploratory and confirmatory factor analyses. The exploratory factor analysis identified two factors of equal weight and fitted the data from Group A well. The confirmatory factor analysis reported an excellent fit with the data for Group B. Internal reliability was good and the correlation between the two factors was moderate. The first factor, “Emotion dysregulation” describes the emotional dysregulation of tilt, particularly anger. The second factor, “cognitive dysregulation” measures cognitive dysregulation and its impact on decision-making and strategy judgement. This scale can contribute to a new area of research focusing on the role of emotion regulation in the trajectories of gamers and problem gamers. Le tilt fait référence à une diminution des capacités de jeu, due à des manifestations soudaines d’émotions négatives (colère ou frustration) et à l’adoption d’un comportement plus agressif dans le cadre du jeu. Le tilt est un phénomène courant chez les joueurs. L’objectif de cet article est d’évaluer les propriétés psychométriques de l’échelle Video Gaming Tilt Scale (VGTS). Un échantillon de 454 joueurs (81,7 % d’hommes) a rempli une série de questionnaires comprenant l’échelle VGTS et des questionnaires évaluant le trouble du jeu sur Internet, la colère, l’impulsivité, l’anxiété et la dépression. L’échantillon total a été divisé au hasard en deux échantillons distincts de taille similaire, le groupe A et le groupe B, afin de réaliser des analyses factorielles exploratoires et confirmatoires. L’analyse factorielle exploratoire a permis d’identifier deux facteurs de poids égal et qui s’ajuste aux données du groupe A. L’analyse factorielle confirmatoire a montré une excellente adéquation du modèle avec les données du groupe B. La consistance interne était bonne et la corrélation entre les deux facteurs était modérée. Le premier facteur, « Dysrégulation des émotions », décrit la dysrégulation émotionnelle du tilt, en particulier la colère. Le second facteur, « Dysrégulation cognitive », mesure la dysrégulation cognitive et son impact sur la prise de décision et le jugement stratégique. Cette échelle peut contribuer à un nouveau domaine de recherche axé sur le rôle de la régulation des émotions dans les trajectoires des joueurs et des joueurs à problèmes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".