LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
Women leave science, technology, engineering, and mathematics (STEM) fields at much higher rates than men. One reason for this gender disparity may be differences in the way women respond to STEM-related feedback relative to men. Some past research suggests women tend to make stable/internal attributions for their failures and unstable/external attributions for their successes, whereas men do the opposite. However, research in recent years has failed to replicate this finding that was once well-established in the literature. To reconcile these conflicting findings, in two studies I examined the relationship between gender and causal attributions for success and failure in STEM fields. In Study 1, undergraduate STEM students at Rutgers University read one of two hypothetical scenarios in which they either earned an A on or failed an exam in one of their STEM courses. In Study 2, participants completed an actual STEM test and received randomized success or failure feedback about their performance on the test. In both studies, participants then completed a series of measures capturing the reasons they may have succeeded or failed. Across both studies, there was little evidence for gender differences in the types of attributions STEM students made for success and failure. Although the notion that women tend to make maladaptive attributions has been long held in psychology, it may not be as prevalent now as it once was.
Subject (authority = RUETD)
Topic
Social psychology
Subject (authority = local)
Topic
Gender
Subject (authority = local)
Topic
Goal pursuit
Subject (authority = local)
Topic
Motivation
Subject (authority = local)
Topic
Self-regulation
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
http://dissertations.umi.com/gsnb.rutgers:12313
PhysicalDescription
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
56 pages : illustrations
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
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)
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