Evidence map›Paper›PMID 34292418›Full record

ArticleCognitive research: principles and implications2021

How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests.

Melissa Treviño, Xiaoshu Zhu, Yi Yi Lu, Luke S Scheuer, Eliza Passell, Grace C Huang, Laura T Germine, Todd S Horowitz

Registry-linked trialAbstract read
In one paragraph

Article in Cognitive research: principles and implications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06782360 (CAMSAN), which is not on this map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06782360 nacompletednot on this mapstarted 2025, after this paper: background citation

CAMSAN: Cognitive Augmentation Via Multimodal Sensing and Auricular Neurostimulation

TypeinterventionalSponsorOpenBCIRan2025 to 2026Enrolled45ConditionsHealthy, Cognitive Change, Effects of External Neurostimulation on CognitionArmsActive Neurostimulation, Sham Stimulation
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Melissa TreviñoBasic Biobehavioral and Psychological Sciences Branch, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA. melissa.trevino@nih.gov.ORCID 0000-0002-7713-8193
Xiaoshu ZhuWestat, 1600 Research Boulevard, Rockville, USA.
Yi Yi LuInstitute for Technology in Psychiatry, McLean Hospital, Belmont, USA.
Luke S ScheuerInstitute for Technology in Psychiatry, McLean Hospital, Belmont, USA.
Eliza PassellInstitute for Technology in Psychiatry, McLean Hospital, Belmont, USA.
Grace C HuangWestat, 1600 Research Boulevard, Rockville, USA.
Laura T GermineInstitute for Technology in Psychiatry, McLean Hospital, Belmont, USA.
Todd S HorowitzBasic Biobehavioral and Psychological Sciences Branch, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated whether standardized neuropsychological tests and experimental cognitive paradigms measure the same cognitive faculties. Specifically, do neuropsychological tests commonly used to assess attention measure the same construct as attention paradigms used in cognitive psychology and neuroscience? We built on the "general attention factor", comprising several widely used experimental paradigms (Huang et al., 2012). Participants (n = 636) completed an on-line battery (TestMyBrain.org) of six experimental tests [Multiple Object Tracking, Flanker Interference, Visual Working Memory, Approximate Number Sense, Spatial Configuration Visual Search, and Gradual Onset Continuous Performance Task (Grad CPT)] and eight neuropsychological tests [Trail Making Test versions A & B (TMT-A, TMT-B), Digit Symbol Coding, Forward and Backward Digit Span, Letter Cancellation, Spatial Span, and Arithmetic]. Exploratory factor analysis in a subset of 357 participants identified a five-factor structure: (1) attentional capacity (Multiple Object Tracking, Visual Working Memory, Digit Symbol Coding, Spatial Span), (2) search (Visual Search, TMT-A, TMT-B, Letter Cancellation); (3) Digit Span; (4) Arithmetic; and (5) Sustained Attention (GradCPT). Confirmatory analysis in 279 held-out participants showed that this model fit better than competing models. A hierarchical model where a general cognitive factor was imposed above the five specific factors fit as well as the model without the general factor. We conclude that Digit Span and Arithmetic tests should not be classified as attention tests. Digit Symbol Coding and Spatial Span tap attentional capacity, while TMT-A, TMT-B, and Letter Cancellation tap search (or attention-shifting) ability. These five tests can be classified as attention tests.

Indexed as

AttentionMemory, Short-TermFactor Analysis, StatisticalHumansNeuropsychological TestsTrail Making Test

Identifiers

PMID34292418
PMCPMC8298746

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.