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The concurrent validity of the N -back task as a working memory measure
Abstract
The N-back task is used extensively in literature as a working memory (WM) paradigm and it is increasingly used as a measure of individual differences. However, not much is known about the psychometric properties of this task and the current study aims to shed more light on this issue. We first review the current literature on the psychometric properties of the N-back task. With three experiments using task variants with different stimuli and load levels, we then investigate the nature of the N-back task by investigating its relationship to WM, and its role as an inter-individual difference measure. Consistent with previous literature, our data suggest that the N-back task is not a useful measure of individual differences in WM, partly because of its insufficient reliability. Nevertheless, the task seems to be useful for experimental research in WM and also well predicts inter-individual differences in other higher cognitive functions, such as fluid intelligence, especially when used at higher levels of load.
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In the citing paper
“One of the most common tasks used in these WM training studies is the N-back, an updating task that correlates significantly with measures of higher-level cognition, such as Matrix Reasoning20–24.”
From Near transfer to an unrelated N-back task mediates the effect of N-back working memory training on matrix reasoning (2022) · cites this paper as [24]
In the citing paper
“This holds true when the stimulus items are either from both the same (e.g., letters to digits) or different domain (e.g., spatial locations to digits) to the trained items (Li et al., 2008; Jaeggi et al., 2010; Anguera et al., 2012; Bürki et al., 2014; Waris et al., 2015; Küper and Karbach, 2016; Minear et al., 2016; Blacker et al., 2017).”
From Are Working Memory Training Effects Paradigm-Specific? (2019) · cites this paper as Jaeggi et al., 2010
In the citing paper
“In line with previous findings, there was evidence suggesting n-back training transfers to n-back tasks with new stimulus materials (Jaeggi et al., 2010; Anguera et al., 2012; Küper and Karbach, 2016; Minear et al., 2016; Soveri et al., 2017).”
From Are Working Memory Training Effects Paradigm-Specific? (2019) · cites this paper as Jaeggi et al., 2010
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Metadata
- Authors
- Jaeggi, S. M., Buschkuehl, M., Perrig, W. J., & Meier, B.
- Affiliations
- University of Michigan (US)
- University of Bern (CH)
- Corresponding author
- Jaeggi, Susanne M.
- Venue
- Memory
- Publisher
- Informa UK Limited
- Published
- 2010-04-19
- Volume
- 18
- Issue
- 4
- Pages
- 394-412
- ISSN
- 0965-8211 (ISSN-L)
- 1464-0686
- OpenAlex
- W2104281515
- Semantic Scholar
- 1cdd5a855d4ded37954d52981b618cd9a6576f96
- Cited by
- 981
- References
- 77
- Citations by year
- 2026: 85 · 2025: 92 · 2024: 112 · 2023: 70 · 2022: 85 · 2021: 78 · 2020: 57 · 2019: 79 · 2018: 62 · 2017: 55 · 2016: 48 · 2015: 50 · 2014: 39 · 2013: 26 · 2012: 24
- FWCI
- 28.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Memory (publishedVersion)
- PubMed (publishedVersion)
- BORIS (University Library Bern) (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- n-back task, working memory, concurrent validity, individual differences, reliability statistics, fluid intelligence, workload, psychometric properties
- MeSH terms
- Adolescent, Adult, Association Learning, Attention, Female, Humans, Individuality, Intelligence, Male, Memory, Short-Term, Neuropsychological Tests, Pattern Recognition, Visual, Psychometrics, Reaction Time, Reading, Retention, Psychology, Serial Learning, Speech Perception, Verbal Learning, Reproducibility of Results, Young Adult, Executive Function
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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