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
How Senior Institutional Research Le...
~
Long, Kelly Burmeister.
FindBook
Google Book
Amazon
博客來
How Senior Institutional Research Leaders Interpret Graduation Outcomes Split by Race Category.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
How Senior Institutional Research Leaders Interpret Graduation Outcomes Split by Race Category./
作者:
Long, Kelly Burmeister.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
136 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
Contained By:
Dissertations Abstracts International82-08B.
標題:
Higher education. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28156015
ISBN:
9798569987566
How Senior Institutional Research Leaders Interpret Graduation Outcomes Split by Race Category.
Long, Kelly Burmeister.
How Senior Institutional Research Leaders Interpret Graduation Outcomes Split by Race Category.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 136 p.
Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
Thesis (Ph.D.)--Oakland University, 2020.
This item must not be sold to any third party vendors.
Most White people have learned to ignore the way that the social construct of race benefits them or harms people of Color, myself included. In this way, people take for granted that race is not real, but rather the invention of White supremacists. Moreover, researchers who are responsible for generating knowledge far too often depend on color-blind ideologies wherein they attribute disparate outcomes to factors unrelated to racism. When we cannot name and blame systemic racism, there lies no hope for change. In the role as Institutional Researcher (IR) in higher education, there exists an opportunity to disrupt or to reinforce color-blind racism, but does it happen? This study asked IR leaders to provide interpretations of race category data. The results showed that they too often used color-blind ideologies, but some were more sensitive to the intricacies of race category data when they were presented with common interpretations, both valid and invalid. Ultimately, government and professional associations need to adopt clear cut guidelines for interpreting racial statistics to offer better guidance to researchers who use racial statistics.
ISBN: 9798569987566Subjects--Topical Terms:
641065
Higher education.
Subjects--Index Terms:
Critical race theory
How Senior Institutional Research Leaders Interpret Graduation Outcomes Split by Race Category.
LDR
:02328nmm a2200373 4500
001
2280795
005
20210913092002.5
008
220723s2020 ||||||||||||||||| ||eng d
020
$a
9798569987566
035
$a
(MiAaPQ)AAI28156015
035
$a
AAI28156015
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Long, Kelly Burmeister.
$3
3559348
245
1 0
$a
How Senior Institutional Research Leaders Interpret Graduation Outcomes Split by Race Category.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2020
300
$a
136 p.
500
$a
Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
500
$a
Advisor: Nidiffer, Jana.
502
$a
Thesis (Ph.D.)--Oakland University, 2020.
506
$a
This item must not be sold to any third party vendors.
520
$a
Most White people have learned to ignore the way that the social construct of race benefits them or harms people of Color, myself included. In this way, people take for granted that race is not real, but rather the invention of White supremacists. Moreover, researchers who are responsible for generating knowledge far too often depend on color-blind ideologies wherein they attribute disparate outcomes to factors unrelated to racism. When we cannot name and blame systemic racism, there lies no hope for change. In the role as Institutional Researcher (IR) in higher education, there exists an opportunity to disrupt or to reinforce color-blind racism, but does it happen? This study asked IR leaders to provide interpretations of race category data. The results showed that they too often used color-blind ideologies, but some were more sensitive to the intricacies of race category data when they were presented with common interpretations, both valid and invalid. Ultimately, government and professional associations need to adopt clear cut guidelines for interpreting racial statistics to offer better guidance to researchers who use racial statistics.
590
$a
School code: 0446.
650
4
$a
Higher education.
$3
641065
650
4
$a
Multicultural education.
$3
526718
650
4
$a
Statistics.
$3
517247
653
$a
Critical race theory
653
$a
QuantCrit
653
$a
Color-blind
653
$a
Structural racism
653
$a
Systemic racism
690
$a
0745
690
$a
0455
690
$a
0463
710
2
$a
Oakland University.
$b
Education.
$3
3265883
773
0
$t
Dissertations Abstracts International
$g
82-08B.
790
$a
0446
791
$a
Ph.D.
792
$a
2020
793
$a
English
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28156015
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
W9432528
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