Interpersonal Conflict Handling Styles: A Survey of Chinese College Students
Bibliographic record
Abstract
Thomas-Klimann Conflict Mode Instrument is a basic model for understanding and comparing interpersonal conflict handling styles. Individuals handle interpersonal conflict in various strategies, and may have a natural tendency toward one or two of these strategies. This research based on Thomas-Klimann Conflict Mode Instrument, investigated college students’ preference and use of these styles in interpersonal conflict, and analyzed it with MANOVA (multivariate analysis of variance). The results showed that:（1）college students’ preference and use of interpersonal conflict handling styles in order from high to low is compromising— collaborating—competing—accommodating—avoiding;（2）there were significant differences between males and females on competing style. Key words: college students, interpersonal conflict, styles Resume: L’Instrument du mode de conflit Thomas-Klimann est un model de base pour comprendre et comparer les styles de reglement du conflit interpersonnel. Les individus resoudent les conflits interpersonnels avec des strategies variantes, mais ils ont une tendance naturelle a une ou deux d’entre elles. Cet essai, base sur l’Instrument du mode de conflit Thomas-Klimann, etudie la preference et l’utilisation de ces styles dans les conflits interpersonnels et les analyse avec MANOVA (multivariate analysis of variance). Les resultats montrent que : premierment, l’ordre du haut en bas de la preference et l’utilisation des styles de reglement du conflit interpersonnel des etudants est :compromis- collaboration- competition- accomodement- evitement ; deuxiement, il y a des differences signifiantes entre les hommes et les femmes sur le style de competion. Mots-Cles: etudiants, conflit interpersonnel, styles
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".