Evidence map›Paper›PMID 31412048›Full record

ArticlePloS one2019

Putting a stereotype to the test: The case of gender differences in multitasking costs in task-switching and dual-task situations.

Patricia Hirsch, Iring Koch, Julia Karbach

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Men talk less than women during multitasking.Psychological research · 2026
    Article
  3. Article
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  10. Parenthood and science careers: the impact is not the same for everyone.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2022
    Article
  11. 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.

Patricia HirschInstitute of Psychology, RWTH Aachen University, Aachen, Germany.ORCID 0000-0003-0129-7777
Iring KochInstitute of Psychology, RWTH Aachen University, Aachen, Germany.
Julia KarbachDepartment of Psychology, University of Koblenz-Landau, Landau, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to a popular stereotype, women are better at multitasking than men, but empirical evidence for gender differences in multitasking performance is mixed. Previous work has focused on specific aspects of multitasking or has not considered gender differences in abilities contributing to multitasking performance. We therefore tested gender differences (N = 96, 50% female) in sequential (i.e., task switching) and concurrent (i.e., dual tasking) multitasking, while controlling for possible gender differences in working memory, processing speed, spatial abilities, and fluid intelligence. Applying two standard experimental paradigms allowed us to test multitasking abilities across five different empirical indices (i.e., performance costs) for both reaction time (RT) and accuracy measures, respectively. Multitasking resulted in substantial performance costs across all experimental conditions without a single significant gender difference in any of these ten measures, even when controlling for gender differences in underlying cognitive abilities. Thus, our results do not confirm the widespread stereotype that women are better at multitasking than men at least in the popular sequential and concurrent multitasking settings used in the present study.

Indexed as

StereotypingTask Performance and AnalysisAdultFemaleHumansMaleMemory, Short-TermMultitasking BehaviorPsychomotor PerformanceReaction TimeSex FactorsYoung Adult

Identifiers

PMID31412048
PMCPMC6693743

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.