東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

The Relationship between Neighborhoo...

Kearns Davoren, Ann.

Linked to FindBook

Google Book

Amazon

博客來

The Relationship between Neighborhood Characteristics and College Academic Outcomes among an NCAA Division I Student-Athlete Population: A Multilevel Approach.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Relationship between Neighborhood Characteristics and College Academic Outcomes among an NCAA Division I Student-Athlete Population: A Multilevel Approach./
Author:	Kearns Davoren, Ann.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	172 p.
Notes:	Source: Dissertations Abstracts International, Volume: 80-01, Section: A.
Contained By:	Dissertations Abstracts International80-01A.
Subject:	Social research. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10787759
ISBN:	9780438102415

The Relationship between Neighborhood Characteristics and College Academic Outcomes among an NCAA Division I Student-Athlete Population: A Multilevel Approach.
Kearns Davoren, Ann.

The Relationship between Neighborhood Characteristics and College Academic Outcomes among an NCAA Division I Student-Athlete Population: A Multilevel Approach. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 172 p.

Source: Dissertations Abstracts International, Volume: 80-01, Section: A.

Thesis (Ph.D.)--Loyola University Chicago, 2018.

This item must not be sold to any third party vendors.

Over 170,000 students participate annually in National Collegiate Athletic Association (NCAA) Division I sports. Approximately one-third of these student-athletes fail to graduate from their initial school of enrollment within six years. While some will go on to graduate from a transfer institution, roughly 15% will fail to earn a degree while competing for an NCAA Division I school. Using U.S. census block group data, this study adds the neighborhood characteristics of education, employment, income, and racial composition to prediction models of first-year GPA and six-year baccalaureate degree attainment among an NCAA Division I student-athlete sample. The use of multilevel modeling accounted for nesting of student-athletes within institutions and controlled for the potential of group effects on individual outcomes. Improving the statistical models used to predict academic outcomes among NCAA student-athletes will help to ensure that they are properly evaluated for the potential to be academically successful and enable early identification of those with heightened academic risk. Early identification can help institutions direct relevant academic support services to those most in need, and in some cases, consider the potential of an academic redshirt year. The findings indicate that while consideration of the educational attainment of the neighborhood adds to the predictive ability of first-year GPA, the meaningful impact is quite small. Cost-benefit analyses may reveal that the added burden of data collection and reduction in transparency is not worth the minimal addition of explained variance in the outcome, particularly in light of the lack of a significant relationship with the other outcomes.

ISBN: 9780438102415Subjects--Topical Terms:

2122687
Social research.

The Relationship between Neighborhood Characteristics and College Academic Outcomes among an NCAA Division I Student-Athlete Population: A Multilevel Approach.
LDR:02898nmm a2200337 4500 001 2209813
005 20191104074054.5
008 201008s2018 ||||||||||||||||| ||eng d
020 $a 9780438102415
035 $a (MiAaPQ)AAI10787759
035 $a (MiAaPQ)luc:11929
035 $a AAI10787759
040 $a MiAaPQ $c MiAaPQ
100 1 $a Kearns Davoren, Ann. $3 3436925
245 1 4 $a The Relationship between Neighborhood Characteristics and College Academic Outcomes among an NCAA Division I Student-Athlete Population: A Multilevel Approach.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 172 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-01, Section: A.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Wu, Meng-Jia.
502 $a Thesis (Ph.D.)--Loyola University Chicago, 2018.
506 $a This item must not be sold to any third party vendors.
520 $a Over 170,000 students participate annually in National Collegiate Athletic Association (NCAA) Division I sports. Approximately one-third of these student-athletes fail to graduate from their initial school of enrollment within six years. While some will go on to graduate from a transfer institution, roughly 15% will fail to earn a degree while competing for an NCAA Division I school. Using U.S. census block group data, this study adds the neighborhood characteristics of education, employment, income, and racial composition to prediction models of first-year GPA and six-year baccalaureate degree attainment among an NCAA Division I student-athlete sample. The use of multilevel modeling accounted for nesting of student-athletes within institutions and controlled for the potential of group effects on individual outcomes. Improving the statistical models used to predict academic outcomes among NCAA student-athletes will help to ensure that they are properly evaluated for the potential to be academically successful and enable early identification of those with heightened academic risk. Early identification can help institutions direct relevant academic support services to those most in need, and in some cases, consider the potential of an academic redshirt year. The findings indicate that while consideration of the educational attainment of the neighborhood adds to the predictive ability of first-year GPA, the meaningful impact is quite small. Cost-benefit analyses may reveal that the added burden of data collection and reduction in transparency is not worth the minimal addition of explained variance in the outcome, particularly in light of the lack of a significant relationship with the other outcomes.
590 $a School code: 0112.
650 4 $a Social research. $3 2122687
650 4 $a Sports Management. $3 2122869
650 4 $a Higher education. $3 641065
690 $a 0344
690 $a 0430
690 $a 0745
710 2 $a Loyola University Chicago. $b Education. $3 1673468
773 0 $t Dissertations Abstracts International $g 80-01A.
790 $a 0112
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10787759