MARC 主機 00000nam a2200385 4500
001 AAI3583902
005 20150610075025.5
008 150610s2014 ||||||||s|||||||| ||eng d
020 9781321199628
035 (MiAaPQ)AAI3583902
040 MiAaPQ|cMiAaPQ
100 1 Bright, Candace Forbes
245 14 The standard deviation: Attitude transference and
perceptions of deviant behavior
300 419 p
500 Source: Dissertation Abstracts International, Volume: 76-
01(E), Section: A
500 Adviser: David Butler
502 Thesis (Ph.D.)--The University of Southern Mississippi,
2014
506 This item must not be sold to any third party vendors
520 This dissertation uses a three-article dissertation model
to 1) compare how deviance is defined and what is
considered deviant comparing the United States to South
Korea using content analysis, 2) test socio-demographic
and social network variables in the development of one's
approval of deviance using eleven ordinary least squared
regression models, and 3) examine the association between
social networks and approval of deviant behaviors using
social network analysis. All three articles use data from
a survey on perceptions of deviant behavior. The survey
was conducted in English and Korean. The first article
provides comparisons on how deviance is defined and what
is defined as deviant. Although the research did not find
a consensus, nor did it expect to find a consensus, on how
deviance is defined, a strong majority of survey
respondents define deviance as behaviors that go against
social norms and are negative. This research also reveals
that there is a greater consensus as to what behaviors are
considered deviant in South Korea than in the United
States. The second article tests the hypothesis that
perceived approval of one's social network is a greater
predictor (i.e., statistically significant across more
models) than traditional socio-demographic variables (i.e.,
gender, age, and income will not be as strong an indicator
as social network) in an individual's approval of
deviance. The results of regression analysis indicate that
1) one's social network is the greatest predictor of his/
her tolerance of deviance behaviors and 2) there is more
consensus among South Koreans regarding what is considered
deviant than among Americans. The third article finds a
statistically significant correlation between an ego's
approval of seven deviant behaviors and that of the
perceived approval of his/her network. Respondents
reporting that they approve of a behavior have at least
one alter that also approves of the behavior but an
average of two or three alters approving of the behavior.
The research concludes that relational data is more robust
than attribute data in the study of perceptions of
deviance but emphasizes that attribute data must be
understand as a factor in relational data
590 School code: 0211
650 4 Sociology, Theory and Methods
650 4 Political Science, International Relations
650 4 Asian Studies
650 4 Psychology, Social
690 0344
690 0601
690 0342
690 0451
710 2 The University of Southern Mississippi.|bInternational
Development
773 0 |tDissertation Abstracts International|g76-01A(E)
856 40 |uhttps://pqdd.sinica.edu.tw/twdaoapp/servlet/
advanced?query=3583902
912 PQDT
