Visek Amanda J, Mannix Heather, Chandran Avinash, Cleary Sean D, McDonnell Karen A, DiPietro Loretta
Department of Exercise & Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC.
Department of Exercise & Sport Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC.
Women Sport Phys Act J. 2020 Apr;28(1):34-49. doi: 10.1123/wspaj.2018-0004.
Colloquial conjecture asserts perceptions of difference in what is more or less important to youth athletes based on binary categorization, such as sex (girls vs. boys), age (younger vs. older), and level of competitive play (recreational vs. travel). The fun integration theory's FUN MAPS, which identify 11 fun-factors comprised of 81 fun-determinants, offers a robust framework from which to test these conceptions related to fun. Therefore, the purposes of this study were to scientifically explore: (a) the extent to which soccer players' prioritization of the 11 fun-factors and 81 fun-determinants were consistent with the gender differences hypothesis or the gender similarities hypothesis, and (b) how their fun priorities evolved as a function of their age and level of play. Players' ( = 141) data were selected from the larger database that originally informed the conceptualization of the fun integration theory's FUN MAPS. Following selection, innovative pattern match displays and go-zone displays were produced to identify discrete points of consensus and discordance between groups. Regardless of sex, age, or level of play, results indicated extraordinarily high consensus among the players' reported importance of the fun-factors ( = .90-.97) and fun-determinants ( = .92-.93), which were consistently grouped within strata of primary, secondary, and tertiary importance. Overall, results were consistent with the gender similarities hypothesis, thereby providing the first data to dispel common conceptions about what is most fun with respect to sex, in addition to age and level of play, in a sample of youth soccer players.
通俗的推测认为,基于二元分类,如性别(女孩与男孩)、年龄(较年轻与较年长)以及竞技水平(业余与专业),青少年运动员对不同事物的重要性有不同认知。乐趣整合理论的“乐趣地图”识别出由81个乐趣决定因素组成的11个乐趣因素,为检验这些与乐趣相关的概念提供了一个强大的框架。因此,本研究的目的是科学地探究:(a)足球运动员对11个乐趣因素和81个乐趣决定因素的优先级在多大程度上符合性别差异假说或性别相似性假说;(b)他们的乐趣优先级如何随年龄和比赛水平而变化。球员( = 141)的数据从最初为乐趣整合理论的“乐趣地图”概念化提供信息的更大数据库中选取。选取数据后,制作了创新的模式匹配显示和可行区域显示,以识别不同组之间的一致和不一致的离散点。无论性别、年龄或比赛水平如何,结果表明球员报告的乐趣因素( = .90-.97)和乐趣决定因素( = .92-.93)的重要性之间存在极高的一致性,这些因素始终被归为主要、次要和第三重要的层次。总体而言,结果与性别相似性假说一致,从而首次提供数据,消除了关于青少年足球运动员样本中性别、年龄和比赛水平方面最有趣的常见观念。