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Using Ordinal Logistic Regression to Examine if Gender, Sports Participation, and Academic Achievement Predict Substance Use.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Using Ordinal Logistic Regression to Examine if Gender, Sports Participation, and Academic Achievement Predict Substance Use./
作者:	Rees, Kelly Kephart.
面頁冊數:	1 online resource (156 pages)
附註:	Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
Contained By:	Dissertations Abstracts International83-12B.
標題:	Education. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29064351click for full text (PQDT)
ISBN:	9798819309520

Using Ordinal Logistic Regression to Examine if Gender, Sports Participation, and Academic Achievement Predict Substance Use.
Rees, Kelly Kephart.

Using Ordinal Logistic Regression to Examine if Gender, Sports Participation, and Academic Achievement Predict Substance Use. - 1 online resource (156 pages)

Source: Dissertations Abstracts International, Volume: 83-12, Section: B.

Thesis (Ed.D.)--Northcentral University, 2022.

Includes bibliographical references

The problem addressed in this study was the disparate findings on participating in sports and substance abuse among student athletes, where sports are considered either a protective factor or a risk factor for student athlete substance use. The purpose of this quantitative ordinal logistic regression study was to examine the relationship of participating in high school sports and academic achievement to substance use to see if gender, sport type by total frequency of contact score, and academic achievement predict substance use. The target population for this study was student-athletes who graduated from one of the Mountain League high schools between 2019-2021, and who participated in one or more interscholastic athletic teams. A convenience sampling method was used to gather a final sample size of 83 participants. The findings determined gender and academic achievement did not have a statistically significant effect on the prediction of substance use; however, the ordinal logistic regression model offered predictive utility for Total Frequency of Contact Score, in which the Total Frequency of Contact Score did have a statistically significant effect on the prediction of substance use. The recommendations for practice include having the Pennsylvania Interscholastic Athletic Association (PIAA) require a substance use screener as part of the student-athletes' yearly physical examination, having The Mountain League athletic departments establish and provide substance use education and prevention programs to student-athletes, and for The Mountain League athletic departments to provide stakeholders such as athletic trainers, coaches, and parents with substance use information. The recommendations for future research include further studies to test the reliability and validity of the Frequency of Contact Scale and studies with a larger sample of student-athletes from Pennsylvania to potentially explain differences between this study's findings and the literature.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798819309520Subjects--Topical Terms:

516579
Education.
Subjects--Index Terms:

Academic achievementIndex Terms--Genre/Form:

542853
Electronic books.

Using Ordinal Logistic Regression to Examine if Gender, Sports Participation, and Academic Achievement Predict Substance Use.
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