Predicting athletic success motivation using mental skin and emotional intelligence and its components in male athletes.
H Kajbafnezhad, H Ahadi, A Heidarie… - The Journal of sports …, 2012 - europepmc.org
Aim The aim of this study was to predict athletic success motivation by mental skills,
emotional intelligence and its components. Methods The research sample consisted of 153
male athletes who were selected through random multistage sampling. The subjects
completed the Mental Skills Questionnaire, Bar-On Emotional Intelligence questionnaire and
the perception of sport success questionnaire. Data were analyzed using Pearson
correlation coefficient and multiple regressions.
emotional intelligence and its components. Methods The research sample consisted of 153
male athletes who were selected through random multistage sampling. The subjects
completed the Mental Skills Questionnaire, Bar-On Emotional Intelligence questionnaire and
the perception of sport success questionnaire. Data were analyzed using Pearson
correlation coefficient and multiple regressions.
Predicting athletic success motivation using menta...
H Kajbafnezhad - 2012 - sponet.fi
AIM: The aim of this study was to predict athletic success motivation by mental skills,
emotional intelligence and its components. METHODS: The research sample consisted of
153 male athletes who were selected through random multistage sampling. The subjects
completed the Mental Skills Questionnaire, Bar-On Emotional Intelligence questionnaire and
the perception of sport success questionnaire. Data were analyzed using Pearson
correlation coefficient and multiple regressions. RESULT: Regression analysis shows that …
emotional intelligence and its components. METHODS: The research sample consisted of
153 male athletes who were selected through random multistage sampling. The subjects
completed the Mental Skills Questionnaire, Bar-On Emotional Intelligence questionnaire and
the perception of sport success questionnaire. Data were analyzed using Pearson
correlation coefficient and multiple regressions. RESULT: Regression analysis shows that …
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