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Domestic non-resident undergraduate ...

Goodale, Brian D.

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Domestic non-resident undergraduate enrollment in public research universities: The influence of institutional and regional factors.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Domestic non-resident undergraduate enrollment in public research universities: The influence of institutional and regional factors./
作者:	Goodale, Brian D.
面頁冊數:	178 p.
附註:	Source: Dissertation Abstracts International, Volume: 74-11(E), Section: A.
Contained By:	Dissertation Abstracts International74-11A(E).
標題:	Higher education administration. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3587099
ISBN:	9781303241048

Domestic non-resident undergraduate enrollment in public research universities: The influence of institutional and regional factors.
Goodale, Brian D.

Domestic non-resident undergraduate enrollment in public research universities: The influence of institutional and regional factors. - 178 p.

Source: Dissertation Abstracts International, Volume: 74-11(E), Section: A.

Thesis (Ph.D.)--State University of New York at Albany, 2013.

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

Senior managers in public research universities monitor and anticipate the evolution of enrollment as part of a planning process that is linked to budget and staffing matters. While the tracking and planning of enrollment figures is important for all types of institutions, the position of public research universities and the non-resident students they serve warrants closer attention.

ISBN: 9781303241048Subjects--Topical Terms:

2122863
Higher education administration.

Domestic non-resident undergraduate enrollment in public research universities: The influence of institutional and regional factors.
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245 1 0 $a Domestic non-resident undergraduate enrollment in public research universities: The influence of institutional and regional factors.
300 $a 178 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-11(E), Section: A.
500 $a Adviser: Alan P. Wagner.
502 $a Thesis (Ph.D.)--State University of New York at Albany, 2013.
506 $a This item must not be sold to any third party vendors.
520 $a Senior managers in public research universities monitor and anticipate the evolution of enrollment as part of a planning process that is linked to budget and staffing matters. While the tracking and planning of enrollment figures is important for all types of institutions, the position of public research universities and the non-resident students they serve warrants closer attention.
520 $a This study's main focus was to generate estimates of the effects of institutional attributes and conditions in sending regions on first-time full-time, domestic non-resident undergraduate enrollment in public research universities. However, a larger purpose was to lay the groundwork, if appropriate and based on the results of the study, for the future development of more refined models to forecast non-resident enrollment for this group of institutions.
520 $a In taking the perspective of the individual university, the study's methodology drew from the existing literature concerned with enrollment management and student choice to identify institutional attributes and circumstances in the prospective migrating students' home state that seemed to be associated with the choice of an institution.
520 $a Several key findings emerge from the study. First, the analyses did find evidence to support that whether taken individually, in groups, or as a collective total, the examined measures of institutional attributes and sending region conditions did help in explaining variation in levels of non-resident enrollments among the public research universities of the study.
520 $a Second, a sub-set of the measures when taken together formed a best model which was found to account for the largest amount of variance in non-resident enrollment flows. The model included a scale variable of the ratio of non-resident enrollment to overall undergraduate enrollment, that when considered on its own, explained approximately 40% of the variation. Further, with the addition of the other institutional attributes and sending region conditions, the amount of variance explained increased significantly.
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