情境和性格成就目标与运动表现的衡量标准:系统回顾与元分析》。

IF 2.2 Q2 SPORT SCIENCES
Sports Pub Date : 2024-11-04 DOI:10.3390/sports12110299
Marc Lochbaum, Cassandra Sisneros
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引用次数: 0

摘要

本系统性综述(PROSPERO ID:CRD42024510614,无资金来源)旨在量化情境性和倾向性二分成就目标与运动表现之间的关系,并探索潜在的关系调节因素。已发表的研究中至少有一项报告了情境性或倾向性成就目标和成绩得分,这些研究均被纳入其中。没有成绩得分或基于非体育背景的研究被排除在外。信息来源包括在相关已发表的荟萃分析和 EBSCOhost 数据库(2024 年 9 月定稿)中找到的研究。为评估偏倚风险,采用了以下统计方法:类失效安全 n、Orwin 失效安全 n 以及带有修剪和填充估计值的漏斗图。来自欧洲、亚洲、北美洲和大洋洲的 8708 名参与者参与了 1994 年至 2024 年的 30 项研究,符合所有纳入标准。大部分样本为非精英男性青少年。任务氛围(0.20 [0.14, 0.25])、任务取向(0.17 [0.12, 0.23])、自我取向(0.09 [0.03, 0.16])与运动表现之间的随机效应关系(r)较小,且与零有显著差异(p < 0.05),而自我激励氛围与运动表现之间的随机效应关系(r)为-0.00 [-0.48, 0.05]。任务取向(0.08 [0.02, 0.14])和自我取向(0.11 [-0.05, 0.26])的随机效应均值标准差(d)的意义微乎其微。混合效应调节因子分析得出了以下显著(p < 0.05)的亚组差异:主观与客观成绩测量(任务取向)、精英与非精英样本(任务氛围)、运动员完成与教练完成的成绩测量和成绩记录(任务取向)。符合纳入标准的研究仅有 30 项,这限制了用于调节分析的子组样本,是研究的主要局限性。尽管存在这一局限性,但 AGT 为运动员和从业人员提供了提高成绩的策略。不过,鉴于平均效应大小值较小,真实预测区间从负值到正值不等,也许是由于样本和成绩衡量标准的异质性,因此对两者之间的关系预期需要谨慎。考虑到所回顾的研究,未来需要对精英运动员进行明确的研究,以验证任务氛围和自我导向对成绩的益处,以及在选择决策中使用自我目标导向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Situational and Dispositional Achievement Goals and Measures of Sport Performance: A Systematic Review with a Meta-Analysis.

The purposes of this systematic review (PROSPERO ID: CRD42024510614, no funding source) were to quantify relationships between situational and dispositional dichotomous achievement goals and sport performance and explore potential relationship moderators. Published studies that reported at least one situational or dispositional achievement goal and a performance score were included. Studies without performance scores or based in a non-sport context were excluded. Information sources consisted of studies found in relevant published meta-analyses and EBSCOhost databases (finalized September 2024). The following statistics were conducted to assess the risk of bias: class-fail-safe n, Orwin's fail-safe n, and funnel plots with trim and fill estimates. The summary statistics were r and d. Thirty studies from 1994 to 2024 met all inclusion criteria with 8708 participants from Europe, Asia, North America, and Oceania. The majority of samples were non-elite male youths and adolescents. The random-effects relationships (r) between task climate, 0.20 [0.14, 0.25], task orientation, 0.17 [0.12, 0.23], ego orientation, 0.09 [0.03, 0.16], and sport performance were small and significantly different (p < 0.05) from zero, while the ego motivational climate relationship was not, -0.00 [-0.48, 0.05]. The random-effects standard differences in means (d) for both the task orientation, 0.08 [0.02, 0.14], and ego orientation, 0.11 [-0.05, 0.26] were minimal in meaningfulness. Mixed-effects moderator analyses resulted in the following significant (p < 0.05) sub-group differences: subjective compared to objective performance measures (task orientation), elite compared to non-elite samples (task climate), and athlete-completed compared to coach-completed performance measures and performance records (task orientation). Finding only 30 studies meeting the inclusion criteria, which limited sub-group samples for moderation analyses, was the main limitation. Despite this limitation, AGT provides athletes and practitioners performance enhancement strategies. However, caution is warranted regarding relationship expectations given the small mean effect size values and the true prediction interval ranging from negative to positive, perhaps as a result of the heterogeneous samples and performance measures. A clear line of future research, considering the reviewed studies, with elite athletes is needed to verify the performance benefits of the task climate and ego orientation as well as the use of the ego goal orientation in selection decisions.

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来源期刊
Sports
Sports SPORT SCIENCES-
CiteScore
4.10
自引率
7.40%
发文量
167
审稿时长
11 weeks
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