mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A lay-statistician explanation of minority discrimination
University of South Carolina.
Mälardalen University, School of Education, Culture and Communication. (Matematik/tillämpad matematik)ORCID iD: 0000-0002-7164-0924
2012 (English)In: Social Science Research, ISSN 0049-089X, E-ISSN 1096-0317, Vol. 41, no 3, 637-645 p.Article in journal (Refereed) Published
Abstract [en]

We outline a new explanation of discrimination against numerical minorities. In contrast to prior work that focuses on how the content of categories affects discrimination, our argument describes how the size of categories leads to discrimination. Specifically, we argue that, when comparing multiple categories, actors tend to view larger categories as more closely approximating an underlying population than smaller ones. As a result, a decision maker will tend to expect that members of a numerical majority are more likely to be what he/she is searching for, whether it is the best or worst candidate. We report the results of two studies designed to test these arguments. To demonstrate the generality of the proposed mechanism, Study 1 tested the argument in a non-social domain. Participants disproportionately favored the majority (vs. minority) category when searching for a single winning lottery ticket, and favored the minority category when the goal was to avoid a single losing ticket. Our second study supported an additional implication of the argument in a social domain: decision makers tended to rank highly qualified majority job candidates as better than equally qualified minority candidates, and relatively unqualified majority candidates as worse than equally unqualified minority candidates.

Place, publisher, year, edition, pages
2012. Vol. 41, no 3, 637-645 p.
Keyword [en]
Discrimination, Social cognition, Social psychology, Categorization, Hiring, Labor market
National Category
Cultural Studies
Research subject
Mathematics/Applied Mathematics
Identifiers
URN: urn:nbn:se:mdh:diva-16346DOI: 10.1016/j.ssresearch.2011.12.009ISI: 000302332700011Scopus ID: 2-s2.0-84858299098OAI: oai:DiVA.org:mdh-16346DiVA: diva2:573247
Funder
Swedish Research Council, 2009-2390
Note

2

Available from: 2012-05-09 Created: 2012-11-30 Last updated: 2014-01-10Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Eriksson, Kimmo
By organisation
School of Education, Culture and Communication
In the same journal
Social Science Research
Cultural Studies

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 25 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf