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Athletic Identity and Ego Identity S...
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Soto, William.
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Athletic Identity and Ego Identity Status as Predictors of Psychological Health among Intercollegiate Athletes.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Athletic Identity and Ego Identity Status as Predictors of Psychological Health among Intercollegiate Athletes./
作者:
Soto, William.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
200 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Contained By:
Dissertations Abstracts International80-12B.
標題:
School counseling. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13917697
ISBN:
9781392298688
Athletic Identity and Ego Identity Status as Predictors of Psychological Health among Intercollegiate Athletes.
Soto, William.
Athletic Identity and Ego Identity Status as Predictors of Psychological Health among Intercollegiate Athletes.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 200 p.
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Thesis (Ph.D.)--Ohio University, 2019.
This item must not be sold to any third party vendors.
This investigation examined whether the independent variables of athletic identity (AIMS) and ego identity statuses of diffusion (DIFF), foreclosure (FOR), moratorium (MOR), and identity achievement (ACH) can predict psychological health outcomes among intercollegiate athletes. The dependent variable consisted of two sub-variables - psychological well-being (PW) and psychological distress (PD). Theories on identity formation were reviewed including the developmental theory of on emerging adults (Arnett, 2000). Data were collected using the Athletic Identity Measure (Brewer, VanRaalte, & Linder, 1993); the Objective Measure of Ego Identity (Adams, 2012); and Mental Health Inventory (Veit & Ware, 1983). Data were collected from (N=203) Division 1 athletes at a public university in the Mid-West. Two standard regression analyses were performed to answer the research question and to test the null hypothesis. The result of the standard regression showed MOR and ACH as significant predictors of PW and MOR and AIMS as significant predictors of PD. A negative relationship among some of the variables were also found. A post hoc backward regression was performed to assess the usefulness of the variables and to better understand the relationship between the predictor variables and the dependent variables. The results showed that all the variables are useful for future research and found DIFF to serve as a suppressor variable between AIMS and MOR when predicting PD.
ISBN: 9781392298688Subjects--Topical Terms:
2144793
School counseling.
Athletic Identity and Ego Identity Status as Predictors of Psychological Health among Intercollegiate Athletes.
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This investigation examined whether the independent variables of athletic identity (AIMS) and ego identity statuses of diffusion (DIFF), foreclosure (FOR), moratorium (MOR), and identity achievement (ACH) can predict psychological health outcomes among intercollegiate athletes. The dependent variable consisted of two sub-variables - psychological well-being (PW) and psychological distress (PD). Theories on identity formation were reviewed including the developmental theory of on emerging adults (Arnett, 2000). Data were collected using the Athletic Identity Measure (Brewer, VanRaalte, & Linder, 1993); the Objective Measure of Ego Identity (Adams, 2012); and Mental Health Inventory (Veit & Ware, 1983). Data were collected from (N=203) Division 1 athletes at a public university in the Mid-West. Two standard regression analyses were performed to answer the research question and to test the null hypothesis. The result of the standard regression showed MOR and ACH as significant predictors of PW and MOR and AIMS as significant predictors of PD. A negative relationship among some of the variables were also found. A post hoc backward regression was performed to assess the usefulness of the variables and to better understand the relationship between the predictor variables and the dependent variables. The results showed that all the variables are useful for future research and found DIFF to serve as a suppressor variable between AIMS and MOR when predicting PD.
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