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

Nontraditional Student Risk Factors ...

Pao, Tammy Crews.

Linked to FindBook

Google Book

Amazon

博客來

Nontraditional Student Risk Factors and Gender as Predictors of Enrollment in College Distance Education.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nontraditional Student Risk Factors and Gender as Predictors of Enrollment in College Distance Education./
Author:	Pao, Tammy Crews.
Description:	137 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-09(E), Section: A.
Contained By:	Dissertation Abstracts International77-09A(E).
Subject:	Educational leadership. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10103793
ISBN:	9781339673370

Nontraditional Student Risk Factors and Gender as Predictors of Enrollment in College Distance Education.
Pao, Tammy Crews.

Nontraditional Student Risk Factors and Gender as Predictors of Enrollment in College Distance Education. - 137 p.

Source: Dissertation Abstracts International, Volume: 77-09(E), Section: A.

Thesis (Ph.D.)--Chapman University, 2016.

The purpose of this dissertation was to examine whether nontraditional student age, female gender, and the possession of nontraditional student risk factors predict enrollment in distance education college courses. This dissertation used data from the most recent National Postsecondary Student Aid Study (NPSAS:12), which consisted of approximately 95,000 undergraduate students who were enrolled in higher education in 2011--2012. The results of a logistic regression analysis indicated that both nontraditional student age and female gender were strong predictors of enrollment in distance education, whereas the number of nontraditional student risk indicators was a partial predictor. As leaders in higher education are tasked with decreasing time to degree completion, it is hoped that the findings of this research will support distance education as one solution to this problem. Further exploration through the deconstruction of the nontraditional student risk index as defined by the National Center of Educational Statistics as well as examination of other factors such as ethnicity and GPA are needed to provide a more complete analysis of predictors of distance education enrollment as well as better data collection for distance education retention and success.

ISBN: 9781339673370Subjects--Topical Terms:

529436
Educational leadership.

Nontraditional Student Risk Factors and Gender as Predictors of Enrollment in College Distance Education.
LDR:02378nmm a2200301 4500 001 2072039
005 20160723161814.5
008 170521s2016 ||||||||||||||||| ||eng d
020 $a 9781339673370
035 $a (MiAaPQ)AAI10103793
035 $a AAI10103793
040 $a MiAaPQ $c MiAaPQ
100 1 $a Pao, Tammy Crews. $3 3187235
245 1 0 $a Nontraditional Student Risk Factors and Gender as Predictors of Enrollment in College Distance Education.
300 $a 137 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-09(E), Section: A.
500 $a Adviser: Randy T. Busse.
502 $a Thesis (Ph.D.)--Chapman University, 2016.
520 $a The purpose of this dissertation was to examine whether nontraditional student age, female gender, and the possession of nontraditional student risk factors predict enrollment in distance education college courses. This dissertation used data from the most recent National Postsecondary Student Aid Study (NPSAS:12), which consisted of approximately 95,000 undergraduate students who were enrolled in higher education in 2011--2012. The results of a logistic regression analysis indicated that both nontraditional student age and female gender were strong predictors of enrollment in distance education, whereas the number of nontraditional student risk indicators was a partial predictor. As leaders in higher education are tasked with decreasing time to degree completion, it is hoped that the findings of this research will support distance education as one solution to this problem. Further exploration through the deconstruction of the nontraditional student risk index as defined by the National Center of Educational Statistics as well as examination of other factors such as ethnicity and GPA are needed to provide a more complete analysis of predictors of distance education enrollment as well as better data collection for distance education retention and success.
520 $a Keywords: distance education, online courses, nontraditional students, female students, higher education, colleges, universities, community college, degree completion.
590 $a School code: 1538.
650 4 $a Educational leadership. $3 529436
650 4 $a Adult education. $3 543202
650 4 $a Educational technology. $3 517670
690 $a 0449
690 $a 0516
690 $a 0710
710 2 $a Chapman University. $b College of Education Studies. $3 1678058
773 0 $t Dissertation Abstracts International $g 77-09A(E).
790 $a 1538
791 $a Ph.D.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10103793