This dissertation proposes and tests the diagnosticity and judgment task model of person perception. This decision tree model of reliance on stereotypes and individuating information in impression formation makes a priori predictions regarding in what situations perceivers will rely on individuating information, in what situations they will rely on stereotypes (i.e., category information), and in what situations they will rely on both sources of information. The central tenet of the model is that the diagnosticity (i.e., relevance, usefulness) of the individuating information and the type of judgment task jointly influence reliance on stereotypes and individuating information in stereotype-relevant target evaluations. In the present research, the model’s two main a priori hypotheses were tested: (1) In the presence of highly diagnostic individuating information and category information, perceivers should rely exclusively on individuating information in target evaluations, regardless of the judgment task at hand; and (2) in the presence of somewhat diagnostic information and category information, perceivers should rely exclusively on individuating information in trait ratings, but on stereotypes and individuating information in occupational suitability judgments and target-relevant predictions. The first hypothesis was supported, but the second was not. These results are discussed in the context of previous relevant research.
Subject (authority = RUETD)
Topic
Psychology
Subject (authority = ETD-LCSH)
Topic
Stereotypes (Social psychology)
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_8805
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xiv, 167 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Rachel Sarah Rubinstein
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.