Evidence map›Paper›PMID 38438651›Full record

ArticleNature human behaviour2024

An experimental manipulation of the value of effort.

Hause Lin, Andrew Westbrook, Frank Fan, Michael Inzlicht

Abstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2024. 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
12.7field-weighted citation impact, top 1% of its field
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, 31 citations in OpenAlex.

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  14. People reward others based on their willingness to exert effort.Journal of experimental social psychology · 2025
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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

4 authors at 3 institutions in 2 countries.

Hause LinSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA. hauselin@gmail.com.ORCID http://orcid.org/0000-0003-4590-7039
Andrew WestbrookCenter for Advanced Human Brain Imaging Research, Rutgers University, Piscataway, NJ, USA.ORCID http://orcid.org/0000-0002-7956-2609
Frank FanDepartment of Psychology, University of Toronto, Toronto, Ontario, Canada.
Michael InzlichtDepartment of Psychology, University of Toronto, Toronto, Ontario, Canada.
University of Toronto · CACornell University · USRutgers, The State University of New Jersey · US

Funding

Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) NSERC RGPIN-2019-05280
6 · The paper itself

Abstract

People who take on challenges and persevere longer are more likely to succeed in life. But individuals often avoid exerting effort, and there is limited experimental research investigating whether we can learn to value effort. We developed a paradigm to test the hypothesis that people can learn to value effort and will seek effortful challenges if directly incentivized to do so. We also dissociate the effects of rewarding people for choosing effortful challenges and performing well. The results provide limited evidence that rewarding effort increased people's willingness to choose harder tasks when rewards were no longer offered (near transfer). There was also mixed evidence that rewarding effort increased willingness to choose harder tasks in another unrelated and unrewarded task (far transfer). These heterogeneous results highlight the need for further research to understand when this paradigm may be the most effective for increasing and generalizing the value of effort.

Indexed as

MotivationRewardAdultChoice BehaviorFemaleHumansMaleTransfer, PsychologyYoung Adult

Identifiers

PMID38438651
OpenAlexW4392375089

What OpenQuestion holds

Textmetadata
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.