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BEGIN:VEVENT
UID:/NewsandEvents/Archives/2021/newsitem/12366/26
 -January-2021-BIAS-project-meeting-Prachi-Solanki
DTSTAMP:20210121T145511
SUMMARY:BIAS project meeting, Prachi Solanki
ATTENDEE;ROLE=Speaker:Prachi Solanki
DTSTART;TZID=Europe/Amsterdam:20210126T140000
DTEND;TZID=Europe/Amsterdam:20210126T150000
LOCATION:Zoom (contact Katrin for the link)
DESCRIPTION:Abstract:  A stereotype is a generaliz
 ation about a class of people but does not necessa
 rily represent every individual with the group (Mc
 Cauley, Stitt, & Segal, 1980). Category informatio
 n (i.e., stereotype information) is often used to 
 make probabilistic predictions about people within
  a particular group. For instance, a probabilistic
  judgement about Germans would be that, “Germans a
 re more likely than other people to be efficient.”
  Here we are making a prediction about an individu
 al’s personality (i.e., efficiency) based on their
  group membership (i.e., German). McCauley and Sti
 tt (1978) suggest that people are accurately Bayes
 ian in their judgements and tend to make probabili
 stic judgements about people’s personality based o
 n stereotype information. The current project aims
  to replicate the original McCauley and Stitt (197
 8) work to test whether stereotype prediction from
  category information to personality adheres to Ba
 yes’ rule.
X-ALT-DESC;FMTTYPE=text/html:\n  <p>Abstract:<br>\
 n  A stereotype is a generalization about a class 
 of people but does not necessarily represent every
  individual with the group (McCauley, Stitt, &amp;
  Segal, 1980). Category information (i.e., stereot
 ype information) is often used to make probabilist
 ic predictions about people within a particular gr
 oup. For instance, a probabilistic judgement about
  Germans would be that, “Germans are more likely t
 han other people to be efficient.” Here we are mak
 ing a prediction about an individual’s personality
  (i.e., efficiency) based on their group membershi
 p (i.e., German). McCauley and Stitt (1978) sugges
 t that people are accurately Bayesian in their jud
 gements and tend to make probabilistic judgements 
 about people’s personality based on stereotype inf
 ormation. The current project aims to replicate th
 e original McCauley and Stitt (1978) work to test 
 whether stereotype prediction from category inform
 ation to personality adheres to Bayes’ rule.</p>\n
URL:https://bias-barometer.github.io/seminars_post
 s/judgement-of-social-groups/
CONTACT:Katrin Schulz at k.schulz at uva.nl
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