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Web Analytics: Analyzing Users of a University Website.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Web Analytics: Analyzing Users of a University Website./
Author:	Neal, Brandi DeHaven.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	95 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-08, Section: A.
Contained By:	Dissertations Abstracts International82-08A.
Subject:	Educational leadership. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28001863
ISBN:	9798569900213

Web Analytics: Analyzing Users of a University Website.
Neal, Brandi DeHaven.

Web Analytics: Analyzing Users of a University Website. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 95 p.

Source: Dissertations Abstracts International, Volume: 82-08, Section: A.

Thesis (Ed.D.)--Northern Kentucky University, 2020.

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

This study examines Generation Z users that visited a university website's homepage for the first time. Using a case study design, quantitative data from Google Analytics were obtained, processed, and analyzed over for the observation period of 365 days. The results indicate that there is statistical evidence to support that user counts vary by device, day of the week, session duration, and referral medium. The research showed new user proportions were highest from users of desktop devices and when users were referred by a search engine. The results also suggest that a large portion of new users leave the university homepage without navigating to other pages within the university website and the most popular day of the week for visits is Wednesday. The findings might be useful to higher education decision-makers that are seeking information about Generation Z prospective students.

ISBN: 9798569900213Subjects--Topical Terms:

529436
Educational leadership.
Subjects--Index Terms:

Educational leadership

Web Analytics: Analyzing Users of a University Website.
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100 1 $a Neal, Brandi DeHaven. $3 3685413
245 1 0 $a Web Analytics: Analyzing Users of a University Website.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 95 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-08, Section: A.
500 $a Advisor: Allen, James G.
502 $a Thesis (Ed.D.)--Northern Kentucky University, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a This study examines Generation Z users that visited a university website's homepage for the first time. Using a case study design, quantitative data from Google Analytics were obtained, processed, and analyzed over for the observation period of 365 days. The results indicate that there is statistical evidence to support that user counts vary by device, day of the week, session duration, and referral medium. The research showed new user proportions were highest from users of desktop devices and when users were referred by a search engine. The results also suggest that a large portion of new users leave the university homepage without navigating to other pages within the university website and the most popular day of the week for visits is Wednesday. The findings might be useful to higher education decision-makers that are seeking information about Generation Z prospective students.
590 $a School code: 1259.
650 4 $a Educational leadership. $3 529436
650 4 $a College administration. $3 3480538
650 4 $a Web studies. $3 2122754
650 4 $a Information science. $3 554358
650 4 $a Higher education administration. $3 2122863
650 4 $a Perceptions. $3 3435328
650 4 $a User behavior. $3 3564661
650 4 $a Decision making. $3 517204
650 4 $a Design. $3 518875
653 $a Educational leadership
653 $a Higher education
653 $a Higher education administration
653 $a Information science
653 $a Marketing
653 $a Web studies
690 $a 0449
690 $a 0338
690 $a 0646
690 $a 0723
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710 2 $a Northern Kentucky University. $b Education Leadership. $3 3176545
773 0 $t Dissertations Abstracts International $g 82-08A.
790 $a 1259
791 $a Ed.D.
792 $a 2020
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28001863