東華大學圖書館 |

語系: 繁體中文

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

Assessing the Relationship Between N...

Hurley, Brian P.

FindBook

Google Book

Amazon

博客來

Assessing the Relationship Between Neighborhood Inequality and STEM Employment for Underrepresented Minorities With STEM Degrees.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Assessing the Relationship Between Neighborhood Inequality and STEM Employment for Underrepresented Minorities With STEM Degrees./
作者:	Hurley, Brian P.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
面頁冊數:	191 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-12, Section: A.
Contained By:	Dissertations Abstracts International85-12A.
標題:	Educational psychology. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31141786
ISBN:	9798382803142

Assessing the Relationship Between Neighborhood Inequality and STEM Employment for Underrepresented Minorities With STEM Degrees.
Hurley, Brian P.

Assessing the Relationship Between Neighborhood Inequality and STEM Employment for Underrepresented Minorities With STEM Degrees. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 191 p.

Source: Dissertations Abstracts International, Volume: 85-12, Section: A.

Thesis (Ph.D.)--Northern Illinois University, 2024.

The purpose of this study is to assess whether there is a relationship between neighborhood inequality in which underrepresented minorities (URMs) with STEM degrees reside and their employment in STEM fields. The current study deploys an Intersectional Theory (IT) research framework and Bourdieu's Theory of Practice to identify the influence of neighborhood capital on successful matriculation through the STEM pipeline as well as variables that elucidate latent inequities in the STEM pipeline which lead to unequal outcomes for URMs. Generalized Linear Multilevel Models (GLMMs) are used to answer the research questions where the individual variables of gender, race, and age are clustered by neighborhoods with the Social Vulnerability Index (SVI) and the Walkability Index (WI) serving as measures of neighborhood inequality. The current study finds that inequality predicts STEM employment after controlling for gender, race, and age, and that SVI and WI are moderators of the relationship between race and the log-odds of being employed in a STEM field, but differ in their moderating effect. The implication of these findings is that STEM organizations looking to hire URM STEM workers or universities looking to attract URM STEM majors need to change their culture to be more inclusive of URM. Additionally, STEM organization and universities can create outreach programs to support parental STEM education as well as provide STEM experiences beyond neighborhood schools.

ISBN: 9798382803142Subjects--Topical Terms:

517650
Educational psychology.
Subjects--Index Terms:

Bourdieu's Theory of Practice

Assessing the Relationship Between Neighborhood Inequality and STEM Employment for Underrepresented Minorities With STEM Degrees.
LDR:02800nmm a2200421 4500 001 2398190
005 20240812064401.5
006 m o d
007 cr#unu||||||||
008 251215s2024 ||||||||||||||||| ||eng d
020 $a 9798382803142
035 $a (MiAaPQ)AAI31141786
035 $a AAI31141786
040 $a MiAaPQ $c MiAaPQ
100 1 $a Hurley, Brian P. $3 3768099
245 1 0 $a Assessing the Relationship Between Neighborhood Inequality and STEM Employment for Underrepresented Minorities With STEM Degrees.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 191 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-12, Section: A.
500 $a Advisor: Dugas, Daryl.
502 $a Thesis (Ph.D.)--Northern Illinois University, 2024.
520 $a The purpose of this study is to assess whether there is a relationship between neighborhood inequality in which underrepresented minorities (URMs) with STEM degrees reside and their employment in STEM fields. The current study deploys an Intersectional Theory (IT) research framework and Bourdieu's Theory of Practice to identify the influence of neighborhood capital on successful matriculation through the STEM pipeline as well as variables that elucidate latent inequities in the STEM pipeline which lead to unequal outcomes for URMs. Generalized Linear Multilevel Models (GLMMs) are used to answer the research questions where the individual variables of gender, race, and age are clustered by neighborhoods with the Social Vulnerability Index (SVI) and the Walkability Index (WI) serving as measures of neighborhood inequality. The current study finds that inequality predicts STEM employment after controlling for gender, race, and age, and that SVI and WI are moderators of the relationship between race and the log-odds of being employed in a STEM field, but differ in their moderating effect. The implication of these findings is that STEM organizations looking to hire URM STEM workers or universities looking to attract URM STEM majors need to change their culture to be more inclusive of URM. Additionally, STEM organization and universities can create outreach programs to support parental STEM education as well as provide STEM experiences beyond neighborhood schools.
590 $a School code: 0162.
650 4 $a Educational psychology. $3 517650
650 4 $a Science education. $3 521340
650 4 $a Higher education. $3 641065
650 4 $a Educational sociology. $3 519608
650 4 $a Educational philosophy. $3 3173367
653 $a Bourdieu's Theory of Practice
653 $a Intersectionality Theory
653 $a Neighborhood inequality
653 $a STEM education
653 $a STEM employment
653 $a Underrepresented minorities
690 $a 0525
690 $a 0714
690 $a 0745
690 $a 0998
690 $a 0340
710 2 $a Northern Illinois University. $b Leadership, Educational Psychology and Foundations. $3 1678073
773 0 $t Dissertations Abstracts International $g 85-12A.
790 $a 0162
791 $a Ph.D.
792 $a 2024
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31141786