Relationship between psycho-maturity and performance of sepak takraw

Rabiu Muazu Musa; Anwar P. P. Abdul Majeed; Norlaila Azura Kosni; Mohamad Razali Abdullah

doi:10.1007/978-981-15-3219-1_6

Relationship between psycho-maturity and performance of sepak takraw

Rabiu Muazu Musa, Anwar P. P. Abdul Majeed^*, Norlaila Azura Kosni, Mohamad Razali Abdullah

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review

Abstract

The correlation between psycho-maturity towards the performance of sepak takraw players is evaluated in this chapter. The Louvain clustering algorithm is used to categorise the players to high, medium and low psycho-matured players based on seven fundamental psychological measures, viz. maturity status, selftalk, activation, imagery, emotion control, automaticity and goal setting. Different random forest classifiers were developed to classify the players based on the aforesaid psychological measures. It was shown that the optimised model could provide reasonable discrimination between the players with a classification accuracy of 82.61% on the test dataset, suggesting the significance of the psychological indicators towards the performance of the players.

Original language	English
Title of host publication	SpringerBriefs in Applied Sciences and Technology
Publisher	Springer
Pages	49-58
Number of pages	10
DOIs	https://doi.org/10.1007/978-981-15-3219-1_6
Publication status	Published - 2020
Externally published	Yes

Publication series

Name	SpringerBriefs in Applied Sciences and Technology
ISSN (Print)	2191-530X
ISSN (Electronic)	2191-5318

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10.1007/978-981-15-3219-1_6

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abstract = "The correlation between psycho-maturity towards the performance of sepak takraw players is evaluated in this chapter. The Louvain clustering algorithm is used to categorise the players to high, medium and low psycho-matured players based on seven fundamental psychological measures, viz. maturity status, selftalk, activation, imagery, emotion control, automaticity and goal setting. Different random forest classifiers were developed to classify the players based on the aforesaid psychological measures. It was shown that the optimised model could provide reasonable discrimination between the players with a classification accuracy of 82.61% on the test dataset, suggesting the significance of the psychological indicators towards the performance of the players.",

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PY - 2020

Y1 - 2020

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AB - The correlation between psycho-maturity towards the performance of sepak takraw players is evaluated in this chapter. The Louvain clustering algorithm is used to categorise the players to high, medium and low psycho-matured players based on seven fundamental psychological measures, viz. maturity status, selftalk, activation, imagery, emotion control, automaticity and goal setting. Different random forest classifiers were developed to classify the players based on the aforesaid psychological measures. It was shown that the optimised model could provide reasonable discrimination between the players with a classification accuracy of 82.61% on the test dataset, suggesting the significance of the psychological indicators towards the performance of the players.

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Relationship between psycho-maturity and performance of sepak takraw

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