Institute of Psychology, Heidelberg University, Heidelberg, Germany.
Department of Psychology, University of Mainz, Mainz, Germany.
Psychol Res. 2024 Jun;88(4):1092-1114. doi: 10.1007/s00426-023-01924-7. Epub 2024 Feb 19.
There is an ongoing debate about the unity and diversity of executive functions and their relationship with other cognitive abilities such as processing speed, working memory capacity, and intelligence. Specifically, the initially proposed unity and diversity of executive functions is challenged by discussions about (1) the factorial structure of executive functions and (2) unfavorable psychometric properties of measures of executive functions. The present study addressed two methodological limitations of previous work that may explain conflicting results: The inconsistent use of (a) accuracy-based vs. reaction time-based indicators and (b) average performance vs. difference scores. In a sample of 148 participants who completed a battery of executive function tasks, we tried to replicate the three-factor model of the three commonly distinguished executive functions shifting, updating, and inhibition by adopting data-analytical choices of previous work. After addressing the identified methodological limitations using drift-diffusion modeling, we only found one common factor of executive functions that was fully accounted for by individual differences in the speed of information uptake. No variance specific to executive functions remained. Our results suggest that individual differences common to all executive function tasks measure nothing more than individual differences in the speed of information uptake. We therefore suggest refraining from using typical executive function tasks to study substantial research questions, as these tasks are not valid for measuring individual differences in executive functions.
关于执行功能的统一性和多样性及其与其他认知能力(如加工速度、工作记忆容量和智力)的关系,一直存在争议。具体来说,最初提出的执行功能的统一性和多样性受到了以下两个方面的挑战:(1)执行功能的因子结构,以及(2)执行功能测量的不良心理测量特性。本研究解决了之前工作中可能导致冲突结果的两个方法学限制:(a)基于准确性的指标与基于反应时间的指标的不一致使用,以及(b)平均表现与差异分数的不一致使用。在一个由 148 名参与者组成的样本中,他们完成了一系列执行功能任务的测试,我们试图通过采用之前工作的数据分析选择,复制三个通常区分的执行功能(转换、更新和抑制)的三因素模型。在用漂移扩散模型解决了确定的方法学限制之后,我们只发现了一个执行功能的共同因素,它完全由信息摄取速度的个体差异来解释。没有特定于执行功能的方差。我们的结果表明,所有执行功能任务的个体差异都只不过是信息摄取速度的个体差异。因此,我们建议避免使用典型的执行功能任务来研究重要的研究问题,因为这些任务不能有效地衡量执行功能的个体差异。