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
Student characteristics and organiza...
~
Sheldon, Caroline Quirion.
FindBook
Google Book
Amazon
博客來
Student characteristics and organizational differences as they relate to transfer.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Student characteristics and organizational differences as they relate to transfer./
作者:
Sheldon, Caroline Quirion.
面頁冊數:
128 p.
附註:
Source: Dissertation Abstracts International, Volume: 67-07, Section: A, page: 2493.
Contained By:
Dissertation Abstracts International67-07A.
標題:
Education, Community College. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3226047
ISBN:
9780542796753
Student characteristics and organizational differences as they relate to transfer.
Sheldon, Caroline Quirion.
Student characteristics and organizational differences as they relate to transfer.
- 128 p.
Source: Dissertation Abstracts International, Volume: 67-07, Section: A, page: 2493.
Thesis (Ph.D.)--University of California, Los Angeles, 2006.
This study draws from the social reproduction theory of Pierre Bourdieu, in particular Bourdieu's concept of habitus, in an attempt to uncover the means by which California community college students are channeled into particular transfer destinations, specifically, the California State University, the University of California, and four-year for-profit universities such as the University of Phoenix. Bourdieu's concept of habitus, operationalized in this study as ascribed characteristics of students, such as ethnicity, class, and gender, and organizational qualities of the community college, such as transfer rates, percentages of students receiving need-based aid and requiring remedial coursework, were examined in an effort to discern the effects of social background characteristics, academic experiences, and institutional effects in the transfer process. Multinomial logistic regression analysis was used to ascertain the predictive value and relative strength of each of the variables in the model. In addition, the relative risk ratios for three distinct contrasts were estimated. The risk ratios associated with the set of social, academic, and organizational qualities on transfer to the CSU were compared with those associated with transfer to the University of California and for-profit universities. Predicted probabilities, based upon ethnicity and financial need, of attending the most selective institution (i.e. the University of California) were also calculated. This procedure allowed for certain characteristics, such as full or part-time attendance or academic area of emphasis, to be held constant thus illuminating the effects of such variables as race, gender, and the transfer rate of the community college. For the total population of community college students, social background, academic experiences, and organizational characteristics had predictive effects on the transfer outcome. Specifically, the strongest predictors of transfer to the University of California were GPA, being Asian, and the transfer rate of the community college. Age exerted the strongest negative effect on transfer to the University of California. The strongest predictors of transfer to the for-profit segment were age, part-time attendance at the community college, being African American, and male. GPA exerted the strongest negative effect relative to the other predictors on transfer to the for-profit segment. For the total population of community college students, Asian males and females had the highest predicted probabilities of transfer to the UC while African American males and females had the highest predicted probabilities of transfer to the for-profit segment. For the traditional group of community college students, Asian males and females had the highest predicted probabilities of transfer to the University of California and Latino males and females had higher predicted probabilities of transfer to the University of California than white students. For the entire population of community college students, the transfer rate of the community college had no impact on the predicted probabilities of transfer to particular institutions; however, consistent with previous community college research, for the traditional subset of community college students, the transfer rate of the community college exerted a positive effect on transfer. Specifically, the predicted probability of transfer to the University of California was higher when students were enrolled at community colleges with higher transfer rates.
ISBN: 9780542796753Subjects--Topical Terms:
1018008
Education, Community College.
Student characteristics and organizational differences as they relate to transfer.
LDR
:04453nmm 2200277 4500
001
1830005
005
20070329084935.5
008
130610s2006 eng d
020
$a
9780542796753
035
$a
(UnM)AAI3226047
035
$a
AAI3226047
040
$a
UnM
$c
UnM
100
1
$a
Sheldon, Caroline Quirion.
$3
1918851
245
1 0
$a
Student characteristics and organizational differences as they relate to transfer.
300
$a
128 p.
500
$a
Source: Dissertation Abstracts International, Volume: 67-07, Section: A, page: 2493.
500
$a
Adviser: Arthur M. Cohen.
502
$a
Thesis (Ph.D.)--University of California, Los Angeles, 2006.
520
$a
This study draws from the social reproduction theory of Pierre Bourdieu, in particular Bourdieu's concept of habitus, in an attempt to uncover the means by which California community college students are channeled into particular transfer destinations, specifically, the California State University, the University of California, and four-year for-profit universities such as the University of Phoenix. Bourdieu's concept of habitus, operationalized in this study as ascribed characteristics of students, such as ethnicity, class, and gender, and organizational qualities of the community college, such as transfer rates, percentages of students receiving need-based aid and requiring remedial coursework, were examined in an effort to discern the effects of social background characteristics, academic experiences, and institutional effects in the transfer process. Multinomial logistic regression analysis was used to ascertain the predictive value and relative strength of each of the variables in the model. In addition, the relative risk ratios for three distinct contrasts were estimated. The risk ratios associated with the set of social, academic, and organizational qualities on transfer to the CSU were compared with those associated with transfer to the University of California and for-profit universities. Predicted probabilities, based upon ethnicity and financial need, of attending the most selective institution (i.e. the University of California) were also calculated. This procedure allowed for certain characteristics, such as full or part-time attendance or academic area of emphasis, to be held constant thus illuminating the effects of such variables as race, gender, and the transfer rate of the community college. For the total population of community college students, social background, academic experiences, and organizational characteristics had predictive effects on the transfer outcome. Specifically, the strongest predictors of transfer to the University of California were GPA, being Asian, and the transfer rate of the community college. Age exerted the strongest negative effect on transfer to the University of California. The strongest predictors of transfer to the for-profit segment were age, part-time attendance at the community college, being African American, and male. GPA exerted the strongest negative effect relative to the other predictors on transfer to the for-profit segment. For the total population of community college students, Asian males and females had the highest predicted probabilities of transfer to the UC while African American males and females had the highest predicted probabilities of transfer to the for-profit segment. For the traditional group of community college students, Asian males and females had the highest predicted probabilities of transfer to the University of California and Latino males and females had higher predicted probabilities of transfer to the University of California than white students. For the entire population of community college students, the transfer rate of the community college had no impact on the predicted probabilities of transfer to particular institutions; however, consistent with previous community college research, for the traditional subset of community college students, the transfer rate of the community college exerted a positive effect on transfer. Specifically, the predicted probability of transfer to the University of California was higher when students were enrolled at community colleges with higher transfer rates.
590
$a
School code: 0031.
650
4
$a
Education, Community College.
$3
1018008
650
4
$a
Education, Higher.
$3
543175
690
$a
0275
690
$a
0745
710
2 0
$a
University of California, Los Angeles.
$3
626622
773
0
$t
Dissertation Abstracts International
$g
67-07A.
790
1 0
$a
Cohen, Arthur M.,
$e
advisor
790
$a
0031
791
$a
Ph.D.
792
$a
2006
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3226047
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
W9220868
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