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Relationships between psychological ...

University of Minnesota.

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Relationships between psychological attribute information and prediction of ice hockey player performance.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Relationships between psychological attribute information and prediction of ice hockey player performance./
作者:	Hamre, John Paul.
面頁冊數:	319 p.
附註:	Source: Dissertation Abstracts International, Volume: 68-12, Section: A, page: 4928.
Contained By:	Dissertation Abstracts International68-12A.
標題:	Education, Administration. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3292949
ISBN:	9780549367437

Relationships between psychological attribute information and prediction of ice hockey player performance.
Hamre, John Paul.

Relationships between psychological attribute information and prediction of ice hockey player performance. - 319 p.

Source: Dissertation Abstracts International, Volume: 68-12, Section: A, page: 4928.

Thesis (Ph.D.)--University of Minnesota, 2007.

A void in research for predicting elite level athletic performance exists. This research seeks to determine if psychological and other attributes correlate significantly to NCAA Division I men's ice hockey performance. Bivariate correlation and multiple variable regression techniques are used on an entire sample of 51 forwards and 25 defensemen, and on these position subgroups. Five NCAA Division I men's ice hockey teams participated in this study (four Central Collegiate Hockey Association teams, one Western Collegiate Hockey Association team). .05 and .1 significance levels are used.

ISBN: 9780549367437Subjects--Topical Terms:

626645
Education, Administration.

Relationships between psychological attribute information and prediction of ice hockey player performance.
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245 1 0 $a Relationships between psychological attribute information and prediction of ice hockey player performance.
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500 $a Source: Dissertation Abstracts International, Volume: 68-12, Section: A, page: 4928.
502 $a Thesis (Ph.D.)--University of Minnesota, 2007.
520 $a A void in research for predicting elite level athletic performance exists. This research seeks to determine if psychological and other attributes correlate significantly to NCAA Division I men's ice hockey performance. Bivariate correlation and multiple variable regression techniques are used on an entire sample of 51 forwards and 25 defensemen, and on these position subgroups. Five NCAA Division I men's ice hockey teams participated in this study (four Central Collegiate Hockey Association teams, one Western Collegiate Hockey Association team). .05 and .1 significance levels are used.
520 $a Predictor attribute inventories administered include: 'Player's Data Sheet' (Hamre, 2002), 'Test of Attention and Interpersonal Style' (Nideffer, 1976), 'Sources of Enjoyment from Athletic Participation/Motivation' (Bray, 1986), 'Modified Classroom Life Measure' (Johnson, Johnson, and Krotee, 1986, 2002). Performance criteria included playing statistics (goals, assists, points, penalty minutes (PIM), games played, plus/minus rating) and coach evaluation. Several performance criteria were also utilized as predictors. Data were collected from the 2001-02 season.
520 $a Numerous significant correlations between predictor attributes and performance criteria were identified. Multiple-variable regressions reduced variability from that found in bivariate correlations. Position specific multiple-variable regressions further reduced variability. We conclude that predictor attributes from 'past offensive and playing statistics' (i.e. goals, assists, points, PIM), 'coach rank,' and 'self perceptions' of offensive and overall playing ability synthesize a multiple variable predictor model for NCAA Division I men's ice hockey.
520 $a Two most important findings to this study can be summarized. First, players' self perceptions were highly and significantly correlated with playing performance. The more offensive a player perceived himself, the higher he tended to be ranked by his coach and the more offense he tended to produce. Second, and surprisingly, higher indicators of depression were positively and significantly correlated with 'Coaches Division I Rank,' highlighting the potential impact of student/athlete responsibilities and the conduct of Division I coaches on the mental health of student/athletes. These results can be used to further develop predictive models for performance in elite level ice-hockey, and other sports, and contribute to coaching and athletic administration practices within higher education.
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