Evidence map›Paper›PMID 34913501›Full record

ArticleCognitive science2021

The Effect of Context and Individual Differences in Human-Generated Randomness.

Mikołaj Biesaga, Szymon Talaga, Andrzej Nowak

Abstract read
In one paragraph

Article in Cognitive science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
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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

3 authors.

Mikołaj BiesagaRobert Zajonc Institute for Social Studies, University of Warsaw.ORCID 0000-0001-5548-3546
Szymon TalagaRobert Zajonc Institute for Social Studies, University of Warsaw.ORCID 0000-0003-2699-2856
Andrzej NowakRobert Zajonc Institute for Social Studies, University of Warsaw.ORCID 0000-0001-9965-0684

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many psychological studies have shown that human-generated sequences are hardly ever random in the strict mathematical sense. However, what remains an open question is the degree to which this (in)ability varies between people and is affected by contextual factors. Herein, we investigated this problem. In two studies, we used a modern, robust measure of randomness based on algorithmic information theory to assess human-generated series. In Study 1 (

Indexed as

CognitionIndividualityHumansMathematicsMotivationAlgorithmic complexityCognitive motivationIndividual differencesRandom numbers generationRandom series productionWorking memory capacity

Identifiers

PMID34913501
PMCPMC9285827

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.