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Leveraging Localized Data to Facilitate the Selection of Evidence-Based Practices to Improve Student Success in Higher Education.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Leveraging Localized Data to Facilitate the Selection of Evidence-Based Practices to Improve Student Success in Higher Education./
作者:	Dragoo, Christabelle Leann.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	87 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-08, Section: B.
Contained By:	Dissertations Abstracts International83-08B.
標題:	Public health. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28866137
ISBN:	9798780630654

Leveraging Localized Data to Facilitate the Selection of Evidence-Based Practices to Improve Student Success in Higher Education.
Dragoo, Christabelle Leann.

Leveraging Localized Data to Facilitate the Selection of Evidence-Based Practices to Improve Student Success in Higher Education. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 87 p.

Source: Dissertations Abstracts International, Volume: 83-08, Section: B.

Thesis (Ph.D.)--University of Oregon, 2021.

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

Health and well-being can no longer be overlooked as a critical factor for student success in higher education. Students perform better when they are well, and institutions of higher education (IHE) have programs and practices that support and encourage student health and well-being. Following an implementation science framework, prior to selection and adoption of evidence-based practices for health and well-being, IHEs must identify the needs of their student population and the specific malleable health risk factors that predict student success, accounting for general health, so that they may effectively select and implement evidence-based programs and practices that lead to supporting student success. Accordingly, I utilized localized health data (N = 1,148) from the most recent National College Health Assessment (NCHA-II, 2018) to understand, which risk factors (stress, poor sleep quality, low physical activity, poor eating habits, psychological distress) predict student success and general health, and for whom does this relationship exist or change. Logistic and ordinal regression analyses were performed. Findings from this study will provide IHE administrators and stakeholders with critical information required for selecting and implementing evidence-based practices for targeted groups of students. This dissertation contributes to the growing body of knowledge on best practices in higher education using commonly collected health data to identify risk factors for student success and campus health disparities. Practice implications and recommendations for future research are discussed.

ISBN: 9798780630654Subjects--Topical Terms:

534748
Public health.
Subjects--Index Terms:

Mental health

Leveraging Localized Data to Facilitate the Selection of Evidence-Based Practices to Improve Student Success in Higher Education.
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