Evidence map›Paper›PMID 31616355›Full record

ArticleFrontiers in psychology2019

Influence of Self-Relevance and Reputational Concerns on Altruistic Moral Decision Making.

Youlong Zhan, Xiao Xiao, Qianbao Tan, Shangming Zhang, Yangyi Ou, Haibo Zhou, Jin Li, Yiping Zhong

Abstract read
In one paragraph

Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 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

8 authors.

Youlong ZhanDepartment of Psychology, Hunan University of Science and Technology, Xiangtan, China.
Xiao XiaoCollege of Chengnan, Hunan First Normal University, Changsha, China.
Qianbao TanDepartment of Psychology, Hunan University of Science and Technology, Xiangtan, China.
Shangming ZhangDepartment of Psychology, Hunan University of Science and Technology, Xiangtan, China.
Yangyi OuDepartment of Psychology, Hunan University of Science and Technology, Xiangtan, China.
Haibo ZhouDepartment of Psychology, Hunan University of Science and Technology, Xiangtan, China.
Jin LiDepartment of Psychology, Hunan Normal University, Changsha, China.
Yiping ZhongDepartment of Psychology, Hunan Normal University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex moral decision making may share certain cognitive mechanisms with economic decision making under risk situations. However, it is little known how people weigh gains and losses between self and others during moral decision making under risk situations. The current study adopted the dilemma scenario-priming paradigm to examine how self-relevance and reputational concerns influenced moral decision making. Participants were asked to decide whether they were willing to sacrifice their own interests to help the protagonist (friend, acquaintance, or stranger) under the dilemmas of reputational loss risk, while the helping choices, decision times and emotional responses were recorded. In Study 1, participants showed a differential altruistic tendency, indicating that participants took less time to make more helping choices and subsequently reported weaker unpleasant experience toward friends compared to acquaintances and strangers. In Study 2, participants still made these egoistically biased altruistic choices under the low reputational loss risk conditions. However, such an effect was weakened by the high reputational loss risks. Results suggested that moral principle guiding interpersonal moral decision making observed in our study is best described as an egoistically biased altruism, and that reputational concerns can play a key role in restraining selfish tendency.

Indexed as

altruisticegoisticmoral decision makingreputational concernsself-relevance

Identifiers

PMID31616355
PMCPMC6775238

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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.