Stephanie A Kliethermes,Evan O Nelson,Kevin M Biese,Margaret Alison Brooks,Roger Brown,Timothy McGuine,Madison N Renner,Traci R Snedden,Emily Srygler,Andrew Watson,David R Bell
{"title":"Development and validation of the Wisconsin Sport Specialization Questionnaire (WISSQ) for older adolescent athletes.","authors":"Stephanie A Kliethermes,Evan O Nelson,Kevin M Biese,Margaret Alison Brooks,Roger Brown,Timothy McGuine,Madison N Renner,Traci R Snedden,Emily Srygler,Andrew Watson,David R Bell","doi":"10.1136/bjsports-2024-108453","DOIUrl":null,"url":null,"abstract":"OBJECTIVE\r\nThe proliferation of youth sport specialisation may be concerning for the overall health of adolescent athletes, but no validated tool to measure specialisation exists. We aimed to assess the measurement properties and validate the Wisconsin Sport Specialization Questionnaire (WISSQ) in older adolescent athletes.\r\n\r\nMETHODS\r\nUsing previously developed sport specialisation items with established content validity, questionnaires were administered to 14-18-year-old athletes residing in both regional and national settings, who were participating in organised sport. Confirmatory factor analyses and Rasch partial credit modelling independently assessed structural and concurrent validity and reliability in both datasets. The best-fitting national model was then fit onto the regional data to further assess the stability of the measurement properties.\r\n\r\nRESULTS\r\nThe regional and national data included 474 (77% female, 86% non-Hispanic White) and 564 (38% female, 63% non-Hispanic White) athletes, respectively. Twelve of 25 items were retained in three domains (n=4 social, n=5 motivation, n=3 physical). One item cross-loaded on both the motivation and physical domains. The adapted regional (comparative fit index (CFI), 0.97; Tucker-Lewis index (TLI), 0.97; root mean square error of approximation (RMSEA), 0.04) and national (CFI, 0.99; TLI, 0.99; RMSEA, 0.05) datasets achieved good model fit. Internal consistency among the three subdomains ranged from Ω=0.78-0.88 (national) to Ω=0.73-0.83 (regional). All items contributed appropriately to measuring the construct of sport specialisation in the regional (infit/outfit: 0.77-1.16) and national (infit/outfit: 0.74-1.16) datasets.\r\n\r\nCONCLUSIONS\r\nWe present the first validated tool to measure youth sport specialisation while considering physical, motivational and social characteristics of sport participation. The WISSQ is a valid, reliable assessment of sport specialisation in older adolescent athletes.","PeriodicalId":9276,"journal":{"name":"British Journal of Sports Medicine","volume":"7 1","pages":""},"PeriodicalIF":11.6000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"British Journal of Sports Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bjsports-2024-108453","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
OBJECTIVE
The proliferation of youth sport specialisation may be concerning for the overall health of adolescent athletes, but no validated tool to measure specialisation exists. We aimed to assess the measurement properties and validate the Wisconsin Sport Specialization Questionnaire (WISSQ) in older adolescent athletes.
METHODS
Using previously developed sport specialisation items with established content validity, questionnaires were administered to 14-18-year-old athletes residing in both regional and national settings, who were participating in organised sport. Confirmatory factor analyses and Rasch partial credit modelling independently assessed structural and concurrent validity and reliability in both datasets. The best-fitting national model was then fit onto the regional data to further assess the stability of the measurement properties.
RESULTS
The regional and national data included 474 (77% female, 86% non-Hispanic White) and 564 (38% female, 63% non-Hispanic White) athletes, respectively. Twelve of 25 items were retained in three domains (n=4 social, n=5 motivation, n=3 physical). One item cross-loaded on both the motivation and physical domains. The adapted regional (comparative fit index (CFI), 0.97; Tucker-Lewis index (TLI), 0.97; root mean square error of approximation (RMSEA), 0.04) and national (CFI, 0.99; TLI, 0.99; RMSEA, 0.05) datasets achieved good model fit. Internal consistency among the three subdomains ranged from Ω=0.78-0.88 (national) to Ω=0.73-0.83 (regional). All items contributed appropriately to measuring the construct of sport specialisation in the regional (infit/outfit: 0.77-1.16) and national (infit/outfit: 0.74-1.16) datasets.
CONCLUSIONS
We present the first validated tool to measure youth sport specialisation while considering physical, motivational and social characteristics of sport participation. The WISSQ is a valid, reliable assessment of sport specialisation in older adolescent athletes.
期刊介绍:
The British Journal of Sports Medicine (BJSM) is a dynamic platform that presents groundbreaking research, thought-provoking reviews, and meaningful discussions on sport and exercise medicine. Our focus encompasses various clinically-relevant aspects such as physiotherapy, physical therapy, and rehabilitation. With an aim to foster innovation, education, and knowledge translation, we strive to bridge the gap between research and practical implementation in the field. Our multi-media approach, including web, print, video, and audio resources, along with our active presence on social media, connects a global community of healthcare professionals dedicated to treating active individuals.