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
The available evidence suggests the percent measure should not be used to study inequality: Reply to Norton and Ariely
Stockholm University, Faculty of Humanities, Centre for the Study of Cultural Evolution.
2013 (English)In: Judgment and decision making, ISSN 1930-2975, E-ISSN 1930-2975, Vol. 8, no 3, 395-396 p.Article in journal, Editorial material (Other academic) Published
Abstract [en]

In this reply, we reiterate the main point of our 2012 paper, which was that the measure of inequality used by Norton and Ariely (2011) was too difficult for it to yield meaningful results. We describe additional evidence for this conclusion, and we also challenge the conclusion that political differences in perceived and desired inequality are small.

Place, publisher, year, edition, pages
2013. Vol. 8, no 3, 395-396 p.
Keyword [en]
perceived inequality, measurement of judgment
National Category
Psychology
Identifiers
URN: urn:nbn:se:su:diva-91940ISI: 000319657500016OAI: oai:DiVA.org:su-91940DiVA: diva2:636586
Note

AuthorCount:2;

Available from: 2013-07-10 Created: 2013-07-09 Last updated: 2017-12-06Bibliographically approved

Open Access in DiVA

No full text

By organisation
Centre for the Study of Cultural Evolution
In the same journal
Judgment and decision making
Psychology

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 21 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