Which "working memory" are we talking about? Complex span tasks versus N-back.

IF 3 3区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL Psychonomic Bulletin & Review Pub Date : 2025-06-01 Epub Date: 2024-12-04 DOI:10.3758/s13423-024-02622-0
Alexander P Burgoyne, David J Frank, Brooke N Macnamara
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Abstract

Psychologists and neuroscientists often use complex span tasks or the n-back to measure working memory capacity. At first glance, both tasks require many cognitive processes attributed to the construct, including the maintenance of information amidst interference. Nevertheless, evidence for their convergent validity is mixed. This poses consequences for the interpretation of working memory performance in cognitive neuroscience, developmental psychology, applied psychology, and executive functioning research. We recruited a large and diverse sample using a multisite approach (N = 1,272; community and university participants) and had them complete multiple working memory capacity, updating, and fluid intelligence tests. We found strong evidence for a dissociation between complex span and n-back tests, and more broadly, between working memory capacity and updating factors. Observed correlations between complex span and n-back performance were modest (r̄ = .25), and at the latent level, the two factors only shared 20% of their variance. Each explained unique variance in fluid intelligence, and each was more strongly related to fluid intelligence than to each other, with updating measures demonstrating stronger relations to fluid intelligence. These results were interpreted via the disengagement hypothesis. What distinguishes updating measures from working memory capacity measures is their relative emphasis on disengagement from outdated information; disengagement drives their strong relation with fluid intelligence because problem-solving requires generating hypotheses but also discarding those discovered to be false. We suggest that researchers who want to measure and draw conclusions about working memory capacity or updating should not use complex span tasks and the n-back interchangeably.

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我们说的是哪种“工作记忆”?复杂跨度任务和N-back任务。
心理学家和神经科学家经常使用复杂跨度任务或n-back来测量工作记忆容量。乍一看,这两项任务都需要归因于该结构的许多认知过程,包括在干扰中维护信息。然而,证明其趋同有效性的证据是混杂的。这对认知神经科学、发展心理学、应用心理学和执行功能研究中对工作记忆表现的解释产生了影响。我们采用多站点方法招募了大量不同的样本(N = 1,272;社区和大学参与者),并让他们完成多项工作记忆容量、更新和流体智力测试。我们发现了复杂广度和n-back测试之间存在分离的有力证据,更广泛地说,工作记忆容量和更新因素之间存在分离。观察到的复杂跨度和n-back绩效之间的相关性不大(r ā = .25),在潜在水平上,这两个因素仅共享其方差的20%。每一个都解释了流体智力的独特差异,每一个都与流体智力的关系比彼此更强,更新的测量表明与流体智力的关系更强。这些结果是通过脱离假设来解释的。更新测量与工作记忆容量测量的区别在于,它们相对强调从过时信息中解脱出来;脱离使他们与流体智力有着紧密的联系,因为解决问题需要产生假设,但也需要抛弃那些被发现是错误的假设。我们建议那些想要测量和得出关于工作记忆容量或更新的结论的研究人员不应该将复杂跨度任务和n-back任务交替使用。
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来源期刊
CiteScore
6.70
自引率
2.90%
发文量
165
期刊介绍: The journal provides coverage spanning a broad spectrum of topics in all areas of experimental psychology. The journal is primarily dedicated to the publication of theory and review articles and brief reports of outstanding experimental work. Areas of coverage include cognitive psychology broadly construed, including but not limited to action, perception, & attention, language, learning & memory, reasoning & decision making, and social cognition. We welcome submissions that approach these issues from a variety of perspectives such as behavioral measurements, comparative psychology, development, evolutionary psychology, genetics, neuroscience, and quantitative/computational modeling. We particularly encourage integrative research that crosses traditional content and methodological boundaries.
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