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Why Supervisors Matter for College S...
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Hultman, Justin Daniel.
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Why Supervisors Matter for College Students: The Relationship Between Type of Employment and Student Outcomes.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Why Supervisors Matter for College Students: The Relationship Between Type of Employment and Student Outcomes./
作者:
Hultman, Justin Daniel.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
144 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-12, Section: A.
Contained By:
Dissertations Abstracts International80-12A.
標題:
Higher Education Administration. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13881937
ISBN:
9781392275672
Why Supervisors Matter for College Students: The Relationship Between Type of Employment and Student Outcomes.
Hultman, Justin Daniel.
Why Supervisors Matter for College Students: The Relationship Between Type of Employment and Student Outcomes.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 144 p.
Source: Dissertations Abstracts International, Volume: 80-12, Section: A.
Thesis (Ed.D.)--Northern Arizona University, 2019.
This item must not be sold to any third party vendors.
Although student persistence is an important metric for higher education administrators and working is pervasive among those who attend college, the extent to which work supervisors may impact students who work while attending college through interactions is underexplored. Thus, this study examines the relationship between supervisor interactions and student outcomes in relation to type of employment, academic persistence, and competencies. The literature review indicates the relationship between type of employment and academic persistence is important and interactions may provide useful benefits. However, interactions within the type of employment experience is lesser known. The study site for this research is Alpha University (Alpha) (pseudonym). Alpha is a large, public, research university in the western United States. This study draws from a pre-existing dataset that uses two data sources: responses from the 2016 Alpha Student Employment Survey (ASES), and student records. Type of employment data come from the survey, and student records provide demographic and academic persistence data. The sample is limited to degree-seeking, non-online undergraduates enrolled at Alpha in fall 2016 who were employed, whose primary institution affiliation is not employee, are not post-baccalaureate students, and have one job (n=1,434), as approved by IRB. Data are analyzed using logistic regression with interaction effect for the first research question, dominance analysis for the second research question, and logistic regression for the third research question.
ISBN: 9781392275672Subjects--Topical Terms:
3432472
Higher Education Administration.
Subjects--Index Terms:
Academic persistence
Why Supervisors Matter for College Students: The Relationship Between Type of Employment and Student Outcomes.
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Although student persistence is an important metric for higher education administrators and working is pervasive among those who attend college, the extent to which work supervisors may impact students who work while attending college through interactions is underexplored. Thus, this study examines the relationship between supervisor interactions and student outcomes in relation to type of employment, academic persistence, and competencies. The literature review indicates the relationship between type of employment and academic persistence is important and interactions may provide useful benefits. However, interactions within the type of employment experience is lesser known. The study site for this research is Alpha University (Alpha) (pseudonym). Alpha is a large, public, research university in the western United States. This study draws from a pre-existing dataset that uses two data sources: responses from the 2016 Alpha Student Employment Survey (ASES), and student records. Type of employment data come from the survey, and student records provide demographic and academic persistence data. The sample is limited to degree-seeking, non-online undergraduates enrolled at Alpha in fall 2016 who were employed, whose primary institution affiliation is not employee, are not post-baccalaureate students, and have one job (n=1,434), as approved by IRB. Data are analyzed using logistic regression with interaction effect for the first research question, dominance analysis for the second research question, and logistic regression for the third research question.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13881937
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