Cognition and Cognitive Neuroscience Research Centre, Department of Psychology, Bournemouth University.
Department of Psychology, University of Zurich.
J Exp Psychol Gen. 2017 Sep;146(9):1266-1285. doi: 10.1037/xge0000333. Epub 2017 Jun 8.
Switching between mental sets has been extensively investigated in both experimental and individual differences research using a wide range of task-switch paradigms. However, it is yet unclear whether these different tasks measure a unitary shifting ability or reflect different facets thereof. In this study, 20 task pairs were administered to 119 young adults to assess 5 proposed components of mental set shifting: switching between judgments, stimulus dimensions, stimulus-response mappings, response sets, and stimulus sets. Modeling latent factors for each of the components revealed that a model with 5 separate yet mostly correlated factors fit the data best. In this model, the components most strongly related to the other latent factors were stimulus-response mapping shifting and, to a lesser degree, response set shifting. In addition, both factors were statistically indistinguishable from a second-order general shifting factor. In contrast, shifting between judgments as well as stimulus dimensions consistently required separate factors and could, hence, not fully be accounted for by the general shifting factor. Finally, shifting between stimulus sets was unrelated to any other shifting component but mapping shifting. We conclude that tasks assessing shifting between mappings are most adequate to assess general shifting ability. In contrast, shifting between stimulus sets (e.g., as in the Trail Making Test) probably reflects shifts in visual attention rather than executive shifting ability. (PsycINFO Database Record
在使用广泛的任务转换范式的实验和个体差异研究中,已经广泛研究了心理定势之间的转换。然而,目前尚不清楚这些不同的任务是否衡量了单一的转换能力,还是反映了不同的方面。在这项研究中,向 119 名年轻人施测了 20 对任务,以评估心理定势转换的 5 个拟议成分:判断之间的转换、刺激维度、刺激-反应映射、反应集和刺激集。对每个成分的潜在因素进行建模表明,具有 5 个独立但大部分相关因素的模型最适合数据。在这个模型中,与其他潜在因素最相关的成分是刺激-反应映射转换,其次是反应集转换。此外,这两个因素在统计学上与二阶一般转换因素无法区分。相比之下,判断之间以及刺激维度之间的转换始终需要单独的因素,因此不能完全由一般转换因素来解释。最后,刺激集之间的转换与任何其他转换成分都没有关系,而只与映射转换有关。我们得出结论,评估映射之间转换的任务最适合评估一般转换能力。相比之下,刺激集之间的转换(例如,在连续作业测试中)可能反映了视觉注意力的转移,而不是执行转换能力。