Self-Determined Motivation and Competitive Anxiety in Athletes/Students: A Probabilistic Study Using Bayesian Networks
This study attempts to analyze the relationship between two key psychological variables associated with performance in sports – Self-Determined Motivation and Competitive Anxiety – through Bayesian Networks (BN) analysis. We analyzed 674 university students that are athletes from 44 universities tha...
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| Format: | Article |
| Language: | English |
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Frontiers Research Foundation
2019
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| Subjects: | |
| Online Access: | http://eprints.uanl.mx/19012/1/Ponseti_Almeida_Lameiras_Martins_Olmedilla_L%C3%B3pez-Walle_Reyes_Garcia-Mas_FP_2019.pdf |
| _version_ | 1824415404860112896 |
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| author | Ponseti, Francisco Javier Almeida, Pedro L. Lameiras, Joao Martins, Bruno Olmedilla, Aurelio López Walle, Jeanette M. Reyes, Orlando García Mas, Alexandre |
| author_facet | Ponseti, Francisco Javier Almeida, Pedro L. Lameiras, Joao Martins, Bruno Olmedilla, Aurelio López Walle, Jeanette M. Reyes, Orlando García Mas, Alexandre |
| author_sort | Ponseti, Francisco Javier |
| collection | Repositorio Institucional |
| description | This study attempts to analyze the relationship between two key psychological variables associated with performance in sports – Self-Determined Motivation and Competitive Anxiety – through Bayesian Networks (BN) analysis. We analyzed 674 university students that are athletes from 44 universities that competed at the University Games in Mexico, with an average age of 21 years (SD = 2.07) and with a mean of 8.61 years’ (SD = 5.15) experience in sports. Methods: Regarding the data analysis, firstly, classification using the CHAID algorithm was carried out to determine the dependence links between variables; Secondly, a BN was developed to reduce the uncertainty in the relationships between the two key psychological variables. The validation of the BN revealed AUC values ranging from 0.5 to 0.92. Subsequently, various instantiations were performed with hypothetical values applied to the “bottom” variables. Results showed two probability trees that have extrinsic motivation and amotivation at the top, while the anxiety/activation due to worries about performance was at the bottom of the probabilities. The instantiations carried out support the existence of these probabilistic relationships, demonstrating their scarce influence on anxiety about competition generated by the intrinsic motivation, and the complex probabilistic effect of introjected and identified regulation regarding the appearance of anxiety due to worry about performance. |
| format | Article |
| id | eprints-19012 |
| institution | UANL |
| language | English |
| publishDate | 2019 |
| publisher | Frontiers Research Foundation |
| record_format | eprints |
| spelling | eprints-190122020-06-02T13:28:36Z http://eprints.uanl.mx/19012/ Self-Determined Motivation and Competitive Anxiety in Athletes/Students: A Probabilistic Study Using Bayesian Networks Ponseti, Francisco Javier Almeida, Pedro L. Lameiras, Joao Martins, Bruno Olmedilla, Aurelio López Walle, Jeanette M. Reyes, Orlando García Mas, Alexandre BF Psicología GV Deportes y Recreación This study attempts to analyze the relationship between two key psychological variables associated with performance in sports – Self-Determined Motivation and Competitive Anxiety – through Bayesian Networks (BN) analysis. We analyzed 674 university students that are athletes from 44 universities that competed at the University Games in Mexico, with an average age of 21 years (SD = 2.07) and with a mean of 8.61 years’ (SD = 5.15) experience in sports. Methods: Regarding the data analysis, firstly, classification using the CHAID algorithm was carried out to determine the dependence links between variables; Secondly, a BN was developed to reduce the uncertainty in the relationships between the two key psychological variables. The validation of the BN revealed AUC values ranging from 0.5 to 0.92. Subsequently, various instantiations were performed with hypothetical values applied to the “bottom” variables. Results showed two probability trees that have extrinsic motivation and amotivation at the top, while the anxiety/activation due to worries about performance was at the bottom of the probabilities. The instantiations carried out support the existence of these probabilistic relationships, demonstrating their scarce influence on anxiety about competition generated by the intrinsic motivation, and the complex probabilistic effect of introjected and identified regulation regarding the appearance of anxiety due to worry about performance. Frontiers Research Foundation 2019-09-06 Article PeerReviewed text en cc_by_nc_nd http://eprints.uanl.mx/19012/1/Ponseti_Almeida_Lameiras_Martins_Olmedilla_L%C3%B3pez-Walle_Reyes_Garcia-Mas_FP_2019.pdf http://eprints.uanl.mx/19012/1.haspreviewThumbnailVersion/Ponseti_Almeida_Lameiras_Martins_Olmedilla_L%C3%B3pez-Walle_Reyes_Garcia-Mas_FP_2019.pdf Ponseti, Francisco Javier y Almeida, Pedro L. y Lameiras, Joao y Martins, Bruno y Olmedilla, Aurelio y López Walle, Jeanette M. y Reyes, Orlando y García Mas, Alexandre (2019) Self-Determined Motivation and Competitive Anxiety in Athletes/Students: A Probabilistic Study Using Bayesian Networks. Frontiers in Psychology, 10 (1947). pp. 1-8. ISSN 1664-1078 https://www.frontiersin.org/articles/10.3389/fpsyg.2019.01947/full doi:10.3389/fpsyg.2019.01947 |
| spellingShingle | BF Psicología GV Deportes y Recreación Ponseti, Francisco Javier Almeida, Pedro L. Lameiras, Joao Martins, Bruno Olmedilla, Aurelio López Walle, Jeanette M. Reyes, Orlando García Mas, Alexandre Self-Determined Motivation and Competitive Anxiety in Athletes/Students: A Probabilistic Study Using Bayesian Networks |
| thumbnail | https://rediab.uanl.mx/themes/sandal5/images/online.png |
| title | Self-Determined Motivation and Competitive Anxiety in Athletes/Students: A Probabilistic Study Using Bayesian Networks |
| title_full | Self-Determined Motivation and Competitive Anxiety in Athletes/Students: A Probabilistic Study Using Bayesian Networks |
| title_fullStr | Self-Determined Motivation and Competitive Anxiety in Athletes/Students: A Probabilistic Study Using Bayesian Networks |
| title_full_unstemmed | Self-Determined Motivation and Competitive Anxiety in Athletes/Students: A Probabilistic Study Using Bayesian Networks |
| title_short | Self-Determined Motivation and Competitive Anxiety in Athletes/Students: A Probabilistic Study Using Bayesian Networks |
| title_sort | self determined motivation and competitive anxiety in athletes students a probabilistic study using bayesian networks |
| topic | BF Psicología GV Deportes y Recreación |
| url | http://eprints.uanl.mx/19012/1/Ponseti_Almeida_Lameiras_Martins_Olmedilla_L%C3%B3pez-Walle_Reyes_Garcia-Mas_FP_2019.pdf |
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