語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
The standard deviation: Attitude tra...
~
Bright, Candace Forbes.
FindBook
Google Book
Amazon
博客來
The standard deviation: Attitude transference and perceptions of deviant behavior.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The standard deviation: Attitude transference and perceptions of deviant behavior./
作者:
Bright, Candace Forbes.
面頁冊數:
419 p.
附註:
Source: Dissertation Abstracts International, Volume: 76-01(E), Section: A.
Contained By:
Dissertation Abstracts International76-01A(E).
標題:
Sociology, Theory and Methods. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3583902
ISBN:
9781321199628
The standard deviation: Attitude transference and perceptions of deviant behavior.
Bright, Candace Forbes.
The standard deviation: Attitude transference and perceptions of deviant behavior.
- 419 p.
Source: Dissertation Abstracts International, Volume: 76-01(E), Section: A.
Thesis (Ph.D.)--The University of Southern Mississippi, 2014.
This item must not be sold to any third party vendors.
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.
ISBN: 9781321199628Subjects--Topical Terms:
626625
Sociology, Theory and Methods.
The standard deviation: Attitude transference and perceptions of deviant behavior.
LDR
:03220nmm a2200313 4500
001
2057513
005
20150610075025.5
008
170521s2014 ||||||||||||||||| ||eng d
020
$a
9781321199628
035
$a
(MiAaPQ)AAI3583902
035
$a
AAI3583902
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Bright, Candace Forbes.
$3
3171368
245
1 4
$a
The standard deviation: Attitude transference and perceptions of deviant behavior.
300
$a
419 p.
500
$a
Source: Dissertation Abstracts International, Volume: 76-01(E), Section: A.
500
$a
Adviser: David Butler.
502
$a
Thesis (Ph.D.)--The University of Southern Mississippi, 2014.
506
$a
This item must not be sold to any third party vendors.
520
$a
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
$a
School code: 0211.
650
4
$a
Sociology, Theory and Methods.
$3
626625
650
4
$a
Political Science, International Relations.
$3
1669648
650
4
$a
Asian Studies.
$3
1669375
650
4
$a
Psychology, Social.
$3
529430
690
$a
0344
690
$a
0601
690
$a
0342
690
$a
0451
710
2
$a
The University of Southern Mississippi.
$b
International Development.
$3
2093932
773
0
$t
Dissertation Abstracts International
$g
76-01A(E).
790
$a
0211
791
$a
Ph.D.
792
$a
2014
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3583902
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9290017
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入