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Journal ArticleDOI

A comparison of well-peer mentored and non-peer mentored athletes’ perceptions of satisfaction

Matt D. Hoffmann, +1 more
- 01 Jan 2016 - 
- Vol. 34, Iss: 5, pp 450-458
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TLDR
It is suggested that athletes who are well-peer mentored by a teammate perceive higher satisfaction levels with various aspects of their athletic experience than athletes who is not peer mentoredBy a teammate.
Abstract
The purpose of the present study was to compare well-peer mentored and non-peer mentored athletes’ perceptions of satisfaction A total of 444 intercollegiate athletes (272 well-peer mentored and 172 non-peer mentored) from a variety of sport teams participated in the study Athletes from both well-peer mentored and non-peer mentored groups reported their satisfaction levels using the Athlete Satisfaction Questionnaire The results of a MANOVA and follow-up post hoc ANOVAs showed that well-peer mentored athletes were significantly more satisfied than their non-peer mentored counterparts in terms of individual performance, personal dedication, team task contribution, team social contribution, team integration, ethics, ability utilisation and training and instruction Overall, the findings suggest that athletes who are well-peer mentored by a teammate perceive higher satisfaction levels with various aspects of their athletic experience than athletes who are not peer mentored by a teammate Given the

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References
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Journal ArticleDOI

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TL;DR: Existing evidence supports the hypothesis that the need to belong is a powerful, fundamental, and extremely pervasive motivation, and people form social attachments readily under most conditions and resist the dissolution of existing bonds.

Using Multivariate Statistics

Diana Adler
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Book

Applied Multivariate Statistics for the Social Sciences

TL;DR: In this article, the authors focus on a conceptual understanding of the material rather than proving results and stress the importance of checking the data, assessing the assumptions, and ensuring adequate sample size so that the results can be generalized.
Journal ArticleDOI

Applied Multivariate Statistics for the Social Sciences

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