Evidence map›Paper›PMID 39242856›Full record

ArticleCommunications psychology2024

A measure of reliability convergence to select and optimize cognitive tasks for individual differences research.

Jan Kadlec, Catherine R Walsh, Uri Sadé, Ariel Amir, Jesse Rissman, Michal Ramot

Abstract read
In one paragraph

Article in Communications psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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

  1. 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

6 authors.

Jan KadlecDepartment of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel.ORCID http://orcid.org/0000-0003-2477-3633
Catherine R WalshDepartment of Psychology, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-2417-6484
Uri SadéFaculty of Physics, Weizmann Institute of Science, Rehovot, Israel.ORCID http://orcid.org/0009-0003-3821-6878
Ariel AmirFaculty of Physics, Weizmann Institute of Science, Rehovot, Israel.ORCID http://orcid.org/0000-0003-2611-0139
Jesse RissmanDepartment of Psychology, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-8889-5539
Michal RamotDepartment of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel. michal.ramot@weizmann.ac.il.ORCID http://orcid.org/0000-0001-9716-6469

Funding

Israel Science Foundation (ISF) 829/22
6 · The paper itself

Abstract

Surging interest in individual differences has faced setbacks in light of recent replication crises in psychology, for example in brain-wide association studies exploring brain-behavior correlations. A crucial component of replicability for individual differences studies, which is often assumed but not directly tested, is the reliability of the measures we use. Here, we evaluate the reliability of different cognitive tasks on a dataset with over 250 participants, who each completed a multi-day task battery. We show how reliability improves as a function of number of trials, and describe the convergence of the reliability curves for the different tasks, allowing us to score tasks according to their suitability for studies of individual differences. We further show the effect on reliability of measuring over multiple time points, with tasks assessing different cognitive domains being differentially affected. Data collected over more than one session may be required to achieve trait-like stability.

Identifiers

PMID39242856
PMCPMC11332135

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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.