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Factors Associated with Athletes' Tr...
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Mathews, Alyssa.
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Factors Associated with Athletes' Transition Out-of-Sport: Athletic Identity, Career Maturity, and Subjective Well-Being in NCAA Football Players.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Factors Associated with Athletes' Transition Out-of-Sport: Athletic Identity, Career Maturity, and Subjective Well-Being in NCAA Football Players./
作者:
Mathews, Alyssa.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
115 p.
附註:
Source: Masters Abstracts International, Volume: 81-05.
Contained By:
Masters Abstracts International81-05.
標題:
Kinesiology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27539201
ISBN:
9781687948496
Factors Associated with Athletes' Transition Out-of-Sport: Athletic Identity, Career Maturity, and Subjective Well-Being in NCAA Football Players.
Mathews, Alyssa.
Factors Associated with Athletes' Transition Out-of-Sport: Athletic Identity, Career Maturity, and Subjective Well-Being in NCAA Football Players.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 115 p.
Source: Masters Abstracts International, Volume: 81-05.
Thesis (M.Ed.)--Bowling Green State University, 2019.
This item must not be sold to any third party vendors.
Purpose: Athletic identity (AI), career maturity (CM), and subjective well-being (SWB) were examined because high AI has been reported to impede athletes' transitions out of sport (Alfermann & Stambulova, 2007; Brewer, et al., 1993). In contrast, high CM and SWB have been reported to facilitate the transition process (Houle & Kluck, 2012; Martin, Fogarty, & Albion, 2014). The influence of National Collegiate Athletic Association Division, Year in School, Race, and GPA also were examined in relation to these factors. Method: Participants included football players from NCAA Division I (n = 46) and Division III (n = 47) universities in Ohio. Participants were contacted via email and verbally recruited at the designated testing sites. Football players completed the Athletic Identity Measurement Scale (Brewer & Cornelius, 2001), Career Decision Scale (Osipow, et al., 1976), Satisfaction with Life Scale (SWLS; Diener, et al., 1985), and the Profile of Mood States (McNair, et al., 1992). Results: MANOVAs and ANOVAs were used to test the hypotheses. Based on the exploratory nature of this study, α was set at .10. D-I athletes reported higher scores than D-III athletes on AI (p = .10). This occurred for football players who were high as well as low in CM. There were no differences in AI by Race or Year in School. There also was no difference in GPA between athletes in the two Divisions. However, there was a trend for an AI by Division interaction for SWL (p = .129). Athletes with high AI levels from the D-I team tended to have lower SWL than athletes from the D-III team who also displayed high AI (p = .11). In addition, D-I football players reported less desirable moods (p = .03) than D-III athletes on Tension, Depression, Fatigue, and Confusion. Conclusion: D-I athletes had higher AI, less desirable mood traits, and tended to have lower SWL scores compared to D-III athletes. Results from this study may reflect multiple factors influencing differences between D-I and D-III athletes. One of these may be the influence of both teams' winning and losing seasons on the players' subjective well-being. Further studies are needed to examine the SWB in athletes from different NCAA Divisions to better assist them in maintaining high levels of SWB as they encounter the challenge of transitioning out of sport.
ISBN: 9781687948496Subjects--Topical Terms:
517627
Kinesiology.
Factors Associated with Athletes' Transition Out-of-Sport: Athletic Identity, Career Maturity, and Subjective Well-Being in NCAA Football Players.
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Purpose: Athletic identity (AI), career maturity (CM), and subjective well-being (SWB) were examined because high AI has been reported to impede athletes' transitions out of sport (Alfermann & Stambulova, 2007; Brewer, et al., 1993). In contrast, high CM and SWB have been reported to facilitate the transition process (Houle & Kluck, 2012; Martin, Fogarty, & Albion, 2014). The influence of National Collegiate Athletic Association Division, Year in School, Race, and GPA also were examined in relation to these factors. Method: Participants included football players from NCAA Division I (n = 46) and Division III (n = 47) universities in Ohio. Participants were contacted via email and verbally recruited at the designated testing sites. Football players completed the Athletic Identity Measurement Scale (Brewer & Cornelius, 2001), Career Decision Scale (Osipow, et al., 1976), Satisfaction with Life Scale (SWLS; Diener, et al., 1985), and the Profile of Mood States (McNair, et al., 1992). Results: MANOVAs and ANOVAs were used to test the hypotheses. Based on the exploratory nature of this study, α was set at .10. D-I athletes reported higher scores than D-III athletes on AI (p = .10). This occurred for football players who were high as well as low in CM. There were no differences in AI by Race or Year in School. There also was no difference in GPA between athletes in the two Divisions. However, there was a trend for an AI by Division interaction for SWL (p = .129). Athletes with high AI levels from the D-I team tended to have lower SWL than athletes from the D-III team who also displayed high AI (p = .11). In addition, D-I football players reported less desirable moods (p = .03) than D-III athletes on Tension, Depression, Fatigue, and Confusion. Conclusion: D-I athletes had higher AI, less desirable mood traits, and tended to have lower SWL scores compared to D-III athletes. Results from this study may reflect multiple factors influencing differences between D-I and D-III athletes. One of these may be the influence of both teams' winning and losing seasons on the players' subjective well-being. Further studies are needed to examine the SWB in athletes from different NCAA Divisions to better assist them in maintaining high levels of SWB as they encounter the challenge of transitioning out of sport.
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