Cited by 223Psychology of Social InfluenceSocial and Intergroup PsychologyNonprofit Sector and Volunteering

Helping a Distressed Person: Social, Personality, and Stimulus Determinants

Ervin Staub·1974·Advances in Experimental Social Psychology

Integrity signals

Registry

Crossref · 10.1016/s0065-2601(08)60040-4

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Claims other papers make about this one

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  • In human social behavior, features of the target stimulus, including age, are critical determinants of whether or not someone will approach, help or avoid another in distress.

    “In human social behavior, features of the target stimulus, including age, are critical determinants of whether or not someone will approach, help or avoid another in distress27”

Cites

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5 of the 50 references couldn’t be matched to a known paper.

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Authors
Staub, E.
Affiliations
University of Massachusetts Amherst (US)
Corresponding author
Ervin Staub
Venue
Advances in Experimental Social Psychology
Publisher
Elsevier
Published
1974
Pages
293-341
ISSN
0065-2601 (ISSN-L)
OpenAlex
W985318048
Cited by
223
References
50
Citations by year
2026: 1 · 2024: 1 · 2023: 20 · 2021: 4 · 2020: 1 · 2019: 20 · 2018: 25 · 2017: 1 · 2016: 2 · 2015: 8 · 2014: 4 · 2013: 3 · 2012: 5
FWCI
103.17
Type
book chapter
Language
en
Open access
closed
Locations
Advances in experimental social psychology (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Psychology of Social Influence
  • Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
  • Social Sciences › Sociology and Political Science › Nonprofit Sector and Volunteering
Keywords
helping behavior, physical distress, social responsibility, dependency, prestige, material rewards, helping motivation, personality factors, social determinants

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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