Reliability and Validity of the Adapted Chinese Student-Athlete Well-Being Scale in College Student-Athletes
Notice bibliographique
Résumé
The well-being of college student-athletes plays a vital role in their overall academic and athletic success, influencing not only their performance in sports but also their mental health, academic engagement, and future career development (Ryan & Deci, 2001; Chang et al., 2020). Given the unique challenges that student-athletes face, such as balancing rigorous training schedules, academic responsibilities, and social pressures, it is essential to have reliable and culturally relevant tools to assess their well-being. The Student-Athlete Well-Being Scale (SAWS) has been widely used in various contexts, but until now, a validated Chinese version did not exist, limiting its application among Chinese-speaking populations. Recognizing this gap, the primary objective of this study was to adapt and validate the Chinese version of the SAWS for use among college student-athletes in China. By doing so, this study aimed to create a culturally appropriate tool that could capture the nuanced experiences and challenges faced by Chinese student-athletes. Three stages of analysis were conducted to ensure the robustness of this adapted scale. In the first stage, an exploratory factor analysis (EFA) was performed with a sample of 365 college student-athletes, which provided insights into the underlying factor structure of the Chinese SAWS. This process was crucial to ensure that the translated version maintained the conceptual integrity of the original scale while accounting for cultural differences. For example, certain terms or phrases that may be well understood in a Western context could carry different connotations in a Chinese cultural setting, and the EFA helped identify and adjust these nuances. The second stage involved a confirmatory factor analysis (CFA) with another sample of 502 student-athletes, along with an internal consistency evaluation and item analysis. This stage was vital for confirming the factor structure identified in the EFA and ensuring that the scale reliably measured the well-being constructs across a larger and more diverse sample. The high internal consistency of the scale (α = 0.928) indicated that the Chinese SAWS was a robust measure, with each item contributing meaningfully to the overall assessment of student-athlete well-being. In the third stage, a test-retest reliability assessment was conducted with 43 student-athletes over a two-week interval. The results demonstrated that the Chinese SAWS had excellent stability over time, reinforcing its reliability as a tool for monitoring changes in well-being among student-athletes. The findings of this study have significant implications for behavioral science, sports psychology, and health promotion. By providing a validated Chinese version of the SAWS, this study offers a valuable tool for athletic departments, coaches, mental health practitioners, and researchers. It can be used to monitor student-athletes' well-being, identify areas of support needed, and develop targeted interventions to promote mental health and overall well-being. This, in turn, can enhance not only their athletic performance but also their academic success and long-term personal development (Culbertson et al., 2010; Fogaca, 2021).In conclusion, this study's findings contribute to the field of sports psychology by providing a reliable and valid tool for assessing well-being among Chinese college student-athletes. The validated Chinese SAWS serves as a foundation for future research and interventions aimed at enhancing student-athletes' well-being in China, ultimately promoting healthier, more balanced, and successful lives both within and beyond their athletic pursuits.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».