Hogan Scott R, Taylor Daniel, Boone R Thomas, Bowman James K
Strength Coach Scott LLC, Pittsburgh, PA, United States.
Charlotte Hornets, Charlotte, NC, United States.
Front Psychol. 2023 Jul 14;14:1197190. doi: 10.3389/fpsyg.2023.1197190. eCollection 2023.
Prior to selecting an NBA player, teams consider multiple factors, including game film and tests of agility, strength, speed, anthropometry, and personality. In recent years, as the other major professional sports have begun to place greater emphasis on the measurement of cognitive abilities, so too have representatives in the NBA. In this study, the predictive validity of an empirically-supported measure of cognitive ability (AIQ) was examined vis-à-vis performance outcomes in the NBA. Specifically, AIQ scores were obtained from 356 NBA prospects prior to their draft between 2014 and 2019. The players' professional status and subsequent performance were assessed through composite and isolated NBA statistics. ANOVAs demonstrated that there were significant differences between NBA and non-NBA players, and subsequent independent samples -tests revealed that NBA players had significantly higher AIQ scores than non-NBA players for 3 out of 4 factors and the Full Scale AIQ Score. Additionally, using hierarchical multiple regression analyses, it was demonstrated that the AIQ predicted some modest statistically significant relationships with multiple NBA stats (e.g., Player Efficiency Rating, Effective Field Goal Percentage), after controlling for the impact of draft placement. While the effect sizes for these differences and relationships were somewhat small, such findings are consistent with sport analytics and the restricted range when evaluating professional athletes. Given the expanding role of analytics and cognitive assessment in the NBA, the potential importance of the AIQ is considered in the draft process.
在挑选一名NBA球员之前,球队会考虑多个因素,包括比赛录像以及对敏捷性、力量、速度、人体测量学和个性的测试。近年来,随着其他主要职业体育项目开始更加重视认知能力的测量,NBA的相关人士也开始这么做。在本研究中,针对一项经实证支持的认知能力测量指标(AIQ)相对于NBA比赛成绩的预测效度进行了检验。具体而言,在2014年至2019年选秀前,从356名NBA潜在球员那里获取了AIQ分数。通过综合和单项NBA数据统计对球员的职业状态及随后的表现进行了评估。方差分析表明,NBA球员与非NBA球员之间存在显著差异,随后的独立样本检验显示,在4个因素中的3个以及全量表AIQ分数方面,NBA球员的AIQ分数显著高于非NBA球员。此外,通过分层多元回归分析表明,在控制了选秀顺位的影响后,AIQ与多项NBA数据统计(例如球员效率值、有效投篮命中率)之间预测出了一些适度的统计学显著关系。虽然这些差异和关系的效应量有点小,但这些发现与体育分析以及评估职业运动员时的受限范围是一致的。鉴于分析和认知评估在NBA中的作用不断扩大,在选秀过程中考虑了AIQ的潜在重要性。