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

Age and Previous Education Predictor...

Babich, Victoria Lee.

FindBook

Google Book

Amazon

博客來

Age and Previous Education Predictors of Student Persistence to Graduation in an Online MBA Program.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Age and Previous Education Predictors of Student Persistence to Graduation in an Online MBA Program./
作者:	Babich, Victoria Lee.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	122 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
Contained By:	Dissertations Abstracts International81-02A.
標題:	Higher education. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13902686
ISBN:	9781088358436

Age and Previous Education Predictors of Student Persistence to Graduation in an Online MBA Program.
Babich, Victoria Lee.

Age and Previous Education Predictors of Student Persistence to Graduation in an Online MBA Program. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 122 p.

Source: Dissertations Abstracts International, Volume: 81-02, Section: A.

Thesis (Ph.D.)--Keiser University, 2019.

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

This study was conducted to identify predictors of student persistence in an online MBA program at a private, not-for-profit university in the Southeastern United States. The multiple linear regression analysis indicated five predictors: (a) student age at time of enrollment in the online MBA program, (b) GPA of the previous conferred degree, (c) elapsed time since previous conferred degree and enrollment in the online MBA program, (d) whether the student had a previous business degree, and (e) whether the student took MBA prerequisite courses. The sample consisted of 212 students who enrolled in the online MBA program from the years 2011 to 2015. The results showed that previous GPA was a strong predictor of student persistence to graduation. Age at the time of enrollment showed no statistical significance, but may have a strong influence on student persistence based on the p result (p = 0.068). The findings of this study are in alignment with previous studies on student persistence in on-ground courses and undergraduate online courses. The results of this study reinforce that previous GPA is a strong predictor of student persistence, regardless of program delivery and postsecondary educational level.

ISBN: 9781088358436Subjects--Topical Terms:

641065
Higher education.
Subjects--Index Terms:

Attrition

Age and Previous Education Predictors of Student Persistence to Graduation in an Online MBA Program.
LDR:02411nmm a2200373 4500 001 2269515
005 20200911122833.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781088358436
035 $a (MiAaPQ)AAI13902686
035 $a AAI13902686
040 $a MiAaPQ $c MiAaPQ
100 1 $a Babich, Victoria Lee. $3 3546853
245 1 0 $a Age and Previous Education Predictors of Student Persistence to Graduation in an Online MBA Program.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 122 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
500 $a Advisor: Rosa, Manuel.
502 $a Thesis (Ph.D.)--Keiser University, 2019.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a This study was conducted to identify predictors of student persistence in an online MBA program at a private, not-for-profit university in the Southeastern United States. The multiple linear regression analysis indicated five predictors: (a) student age at time of enrollment in the online MBA program, (b) GPA of the previous conferred degree, (c) elapsed time since previous conferred degree and enrollment in the online MBA program, (d) whether the student had a previous business degree, and (e) whether the student took MBA prerequisite courses. The sample consisted of 212 students who enrolled in the online MBA program from the years 2011 to 2015. The results showed that previous GPA was a strong predictor of student persistence to graduation. Age at the time of enrollment showed no statistical significance, but may have a strong influence on student persistence based on the p result (p = 0.068). The findings of this study are in alignment with previous studies on student persistence in on-ground courses and undergraduate online courses. The results of this study reinforce that previous GPA is a strong predictor of student persistence, regardless of program delivery and postsecondary educational level.
590 $a School code: 1704.
650 4 $a Higher education. $3 641065
650 4 $a Educational technology. $3 517670
650 4 $a Business education. $3 543396
653 $a Attrition
653 $a MBA
653 $a Online
653 $a Persistence
690 $a 0745
690 $a 0710
690 $a 0688
710 2 $a Keiser University. $b Keiser University Graduate School-Education. $3 2097300
773 0 $t Dissertations Abstracts International $g 81-02A.
790 $a 1704
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13902686