IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i8p5561-d1126067.html
   My bibliography  Save this article

Perfectionistic Environments and Irrational Beliefs on the Transition to Elite Athletic Performance: A Longitudinal Study

Author

Listed:
  • Yago Ramis

    (Departament de Psicologia Bàsica, Evolutiva i de l’Educació, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
    Sport Research Institute, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain)

  • Joan Pons

    (Sport Research Institute, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
    Departament de Psicologia, Universitat de les Illes Balears, 07122 Palma, Spain)

  • Saul Alcaraz

    (Departament de Psicologia Bàsica, Evolutiva i de l’Educació, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
    Sport Research Institute, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain)

  • Susana Pallares

    (Sport Research Institute, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
    Departament de Psicologia Social, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain)

  • Carme Viladrich

    (Sport Research Institute, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
    Departament de Psicobiologia i de Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain)

  • Juan Muñoz-Justicia

    (Sport Research Institute, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
    Departament de Psicologia Social, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain)

  • Miquel Torregrossa

    (Departament de Psicologia Bàsica, Evolutiva i de l’Educació, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
    Sport Research Institute, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain)

Abstract

This study aimed to longitudinally evaluate talented athletes’ levels of perfectionism, irrational beliefs, and motivations with regard to their athletic careers. A total of 390 athletes from U14, U16, and junior categories ( M ageT 1 = 15.42) answered shortened versions of the Sport-MPS2, iPBI, and BRSQ during two consecutive seasons, along with questions referring to their current and predicted prioritization of sports and education. Participants reported high levels of perfectionistic strivings and medium to low levels of socially prescribed perfectionism and concern over mistakes decreasing from T1 to T2. A decrease was also found for demandingness and awfulizing, but increased levels were found for depreciation in T2. Participants report very high intrinsic motivation with low levels of external regulation and amotivation, but intrinsic motivation decreased from season to season. This general profile varied depending upon future expectancies toward dedication to sports and education. Those who foresaw a prioritized dedication to sports presented significantly higher levels of socially prescribed perfectionism, perfectionistic strivings, and intrinsic motivation, while those who considered that sports would not be prioritized in the following 5 years reported higher levels of demandingness, awfulizing, depreciation, and amotivation. Additionally, while current levels of motivation (T2) seemed to be predicted mainly by previous motivation levels (T1), significant predictive capacity was also detected for socially prescribed perfectionism positively predicting external regulations and amotivation, perfectionistic strivings negatively predicting amotivation, and depreciation negatively predicting intrinsic motivation and positively predicting both extrinsic regulation and amotivation. We discuss the potential perils of developing extremely demanding environments, as they could potentially result in poor motivational profiles of athletes in their talent development stage during the junior to senior transition.

Suggested Citation

  • Yago Ramis & Joan Pons & Saul Alcaraz & Susana Pallares & Carme Viladrich & Juan Muñoz-Justicia & Miquel Torregrossa, 2023. "Perfectionistic Environments and Irrational Beliefs on the Transition to Elite Athletic Performance: A Longitudinal Study," IJERPH, MDPI, vol. 20(8), pages 1-13, April.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:8:p:5561-:d:1126067
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/8/5561/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/8/5561/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Octavio Álvarez & Isabel Castillo & Vladimir Molina-García & Inés Tomás, 2019. "Transformational Leadership, Task-Involving Climate, and Their Implications in Male Junior Soccer Players: A Multilevel Approach," IJERPH, MDPI, vol. 16(19), pages 1-11, September.
    2. Sacha Epskamp & Mijke Rhemtulla & Denny Borsboom, 2017. "Generalized Network Psychometrics: Combining Network and Latent Variable Models," Psychometrika, Springer;The Psychometric Society, vol. 82(4), pages 904-927, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wei-Li Wu & Yi-Chih Lee, 2020. "Do Work Engagement and Transformational Leadership Facilitate Knowledge Sharing? A Perspective of Conservation of Resources Theory," IJERPH, MDPI, vol. 17(7), pages 1-17, April.
    2. Kan, Kees-Jan & van der Maas, Han L.J. & Levine, Stephen Z., 2019. "Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?," Intelligence, Elsevier, vol. 73(C), pages 52-62.
    3. Knyspel, Jacob & Plomin, Robert, 2024. "Comparing factor and network models of cognitive abilities using twin data," Intelligence, Elsevier, vol. 104(C).
    4. Sacha Epskamp, 2020. "Psychometric network models from time-series and panel data," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 206-231, March.
    5. Bing Li & Cody Ding & Huiying Shi & Fenghui Fan & Liya Guo, 2023. "Assessment of Psychological Zone of Optimal Performance among Professional Athletes: EGA and Item Response Theory Analysis," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    6. Payton J. Jones & Patrick Mair & Thorsten Simon & Achim Zeileis, 2020. "Network Trees: A Method for Recursively Partitioning Covariance Structures," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 926-945, December.
    7. Sofía López-Roig & Carmen Ecija & Cecilia Peñacoba & Sofía Ivorra & Ainara Nardi-Rodríguez & Oscar Lecuona & María Angeles Pastor-Mira, 2022. "Assessing Walking Programs in Fibromyalgia: A Concordance Study between Measures," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
    8. W. Holmes Finch, 2024. "Comparison of Methods for Addressing Outliers in Exploratory Factor Analysis and Impact on Accuracy of Determining the Number of Factors," Stats, MDPI, vol. 7(3), pages 1-21, August.
    9. Elise Barboza, Gia & Valentine, Romello, 2022. "A network analysis of post-traumatic stress among youth aging out of the foster care system," Children and Youth Services Review, Elsevier, vol. 140(C).
    10. Yunxiao Chen & Xiaoou Li & Jingchen Liu & Zhiliang Ying, 2018. "Robust Measurement via A Fused Latent and Graphical Item Response Theory Model," Psychometrika, Springer;The Psychometric Society, vol. 83(3), pages 538-562, September.
    11. Isabel Castillo & Javier Molina-García & Isaac Estevan & Ana Queralt & Octavio Álvarez, 2020. "Transformational Teaching in Physical Education and Students’ Leisure-Time Physical Activity: The Mediating Role of Learning Climate, Passion and Self-Determined Motivation," IJERPH, MDPI, vol. 17(13), pages 1-16, July.
    12. Hudson Golino & Alexander P. Christensen & Robert Moulder & Seohyun Kim & Steven M. Boker, 2022. "Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 156-187, March.
    13. Sacha Epskamp & Adela-Maria Isvoranu & Mike W.-L. Cheung, 2022. "Meta-analytic Gaussian Network Aggregation," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 12-46, March.
    14. Di Zhao & Guopeng Li & Miao Zhou & Qing Wang & Yiming Gao & Xiangyu Zhao & Xinting Zhang & Ping Li, 2022. "Differences According to Sex in the Relationship between Social Participation and Well-Being: A Network Analysis," IJERPH, MDPI, vol. 19(20), pages 1-11, October.
    15. Teague R. Henry & Donald J. Robinaugh & Eiko I. Fried, 2022. "On the Control of Psychological Networks," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 188-213, March.
    16. Pedro Henrique Ribeiro Santiago & Gustavo Hermes Soares & Lisa Gaye Smithers & Rachel Roberts & Lisa Jamieson, 2022. "Psychological Network of Stress, Coping and Social Support in an Aboriginal Population," IJERPH, MDPI, vol. 19(22), pages 1-22, November.
    17. Haiyan Liu & Ick Hoon Jin & Zhiyong Zhang & Ying Yuan, 2021. "Social Network Mediation Analysis: A Latent Space Approach," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 272-298, March.
    18. Jinsong Chen, 2020. "A Partially Confirmatory Approach to the Multidimensional Item Response Theory with the Bayesian Lasso," Psychometrika, Springer;The Psychometric Society, vol. 85(3), pages 738-774, September.
    19. Conte, Federica & Costantini, Giulio & Rinaldi, Luca & Gerosa, Tiziano & Girelli, Luisa, 2020. "Intellect is not that expensive: differential association of cultural and socio-economic factors with crystallized intelligence in a sample of Italian adolescents," Intelligence, Elsevier, vol. 81(C).
    20. Jones, Payton J. & Mair, Patrick & Simon, Thorsten & Zeileis, Achim, 2019. "Network Model Trees," OSF Preprints ha4cw, Center for Open Science.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:8:p:5561-:d:1126067. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.