IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i11p6381-d822916.html
   My bibliography  Save this article

Revisiting the Self-Confidence and Sport Performance Relationship: A Systematic Review with Meta-Analysis

Author

Listed:
  • Marc Lochbaum

    (Education Academy, Vytautas Magnus University, 44248 Kaunas, Lithuania
    Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX 79409, USA
    These authors contributed equally to this work.)

  • Mackenzie Sherburn

    (Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX 79409, USA)

  • Cassandra Sisneros

    (Honors College, Texas Tech University, Lubbock, TX 79409, USA)

  • Sydney Cooper

    (Honors College, Texas Tech University, Lubbock, TX 79409, USA)

  • Andrew M. Lane

    (Faculty of Education, Health and Well-Being, University of Wolverhampton, Walsall WV1 1LY, UK)

  • Peter C. Terry

    (Division of Research & Innovation, University of Southern Queensland, Toowoomba, QLD 4350, Australia
    These authors contributed equally to this work.)

Abstract

Self-confidence is a common research topic, and most applied textbooks include interventions designed to enhance athlete confidence. Our purpose was to quantify the self-confidence and sport performance literature using meta-analytic techniques. We also examined potential risk of bias indicators, and the moderation effects of study quality, sport characteristics, timing of confidence measurement, and individual differences among participants. Following a review of two past meta-analyses, a systematic search of APA PsycArticles, ERIC, Psychology and Behavioral Sciences Collection, PsychINFO, and SPORTDiscus within the EBSCOhost platform, and some hand searching, 41 articles published between 1986 and 2020 met the inclusion criteria. Collectively, the included studies investigated 3711 athletes from 15 countries across 24 sports. The overall random effects estimate of the relationship (expressed as r ) between self-confidence and performance was 0.25 (95% CI 0.19, 0.30), with little evidence of publication bias. The summed total risk of the individual study bias score did not moderate the confidence–performance relationship, whereas significant moderator effects emerged for individual sports (0.29) compared with team sports (0.14), objective (0.29) compared to subjective (0.14) performance measures, and 100% male (0.35) compared to 100% female (0.07) samples. In conclusion, the confidence–performance relationship is small in magnitude, nearly free of bias, and moderated by sport type, performance objectivity, and athlete sex.

Suggested Citation

  • Marc Lochbaum & Mackenzie Sherburn & Cassandra Sisneros & Sydney Cooper & Andrew M. Lane & Peter C. Terry, 2022. "Revisiting the Self-Confidence and Sport Performance Relationship: A Systematic Review with Meta-Analysis," IJERPH, MDPI, vol. 19(11), pages 1-19, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6381-:d:822916
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/11/6381/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/11/6381/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alexander Ahammer & Mario Lackner & Jasmin Voigt, 2019. "Does confidence enhance performance? Causal evidence from the field," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(6), pages 704-717, September.
    2. Marc Lochbaum & Elisabeth Stoner & Tristen Hefner & Sydney Cooper & Andrew M Lane & Peter C Terry, 2022. "Sport psychology and performance meta-analyses: A systematic review of the literature," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-22, February.
    3. Nick Draper & Tabitha Dickson & Simon Fryer & Gavin Blackwell, 2011. "Performance differences for intermediate rock climbers who successfully and unsuccessfully attempted an indoor sport climbing route," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 11(3), pages 450-463, December.
    4. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pieper, Marco & Schulze, Günther G., 2024. "Performance and beauty in sports ̶on the market value and popularity of European female soccer players," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 309-324.
    2. Selenia di Fronso & Dagmara Budnik-Przybylska, 2023. "Special Issue: Sport Psychology Interventions for Athletes’ Performance and Well-Being," IJERPH, MDPI, vol. 20(4), pages 1-4, February.
    3. Pierluigi Diotaiuti & Giuseppe Valente & Stefano Corrado & Stefania Mancone, 2023. "Assessing Decentering Capacity in Athletes: A Moderated Mediation Model," IJERPH, MDPI, vol. 20(4), pages 1-13, February.

    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. Qian Li & Yan Chen & Shikun Sun & Muyuan Zhu & Jing Xue & Zihan Gao & Jinfeng Zhao & Yihe Tang, 2022. "Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4799-4817, September.
    2. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    3. Damiano Pizzol & Mike Trott & Igor Grabovac & Mario Antunes & Anna Claudia Colangelo & Simona Ippoliti & Cristian Petre Ilie & Anne Carrie & Nicola Veronese & Lee Smith, 2021. "Laparoscopy in Low-Income Countries: 10-Year Experience and Systematic Literature Review," IJERPH, MDPI, vol. 18(11), pages 1-11, May.
    4. Wolfgang Goymann & John C. Wingfield, 2014. "Male-to-female testosterone ratios, dimorphism, and life history—what does it really tell us?," Behavioral Ecology, International Society for Behavioral Ecology, vol. 25(4), pages 685-699.
    5. Alderotti, Giammarco & Rapallini, Chiara & Traverso, Silvio, 2023. "The Big Five personality traits and earnings: A meta-analysis," Journal of Economic Psychology, Elsevier, vol. 94(C).
    6. Ünal, Zehra E. & Kartal, Gamze & Ulusoy, Serra & Ala, Aslı M. & Yilmaz, Munube & Geary, David C., 2023. "Relative contributions of g and basic domain-specific mathematics skills to complex mathematics competencies," Intelligence, Elsevier, vol. 101(C).
    7. Daniele Zago & Maria Eugênia Andrighetto Canozzi & Júlio Otávio Jardim Barcellos, 2020. "Pregnant beef cow’s nutrition and its effects on postnatal weight and carcass quality of their progeny," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-20, August.
    8. Viktoria Maria Baumeister & Leonie Petra Kuen & Maike Bruckes & Gerhard Schewe, 2021. "The Relationship of Work-Related ICT Use With Well-being, Incorporating the Role of Resources and Demands: A Meta-Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    9. Gundula Krack, 2019. "How to make value-based health insurance designs more effective? A systematic review and meta-analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 841-856, August.
    10. Angélica Pigola & Priscila Rezende Costa, 2022. "In search of understanding about knowledge and learning on innovation performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3995-4022, July.
    11. Christopher Snyder & Ran Zhuo, 2018. "Sniff Tests as a Screen in the Publication Process: Throwing out the Wheat with the Chaff," NBER Working Papers 25058, National Bureau of Economic Research, Inc.
    12. Chuang Yuan & Jing Wang & Michael Ying, 2016. "Predictive Value of Carotid Distensibility Coefficient for Cardiovascular Diseases and All-Cause Mortality: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-15, April.
    13. Francisco Javier Blanco-Encomienda & Rocío García-Cantero & María José Latorre-Medina, 2020. "Association between Work-Related Rumination, Work Environment and Employee Well-Being: A Meta-Analytic Study of Main and Moderator Effects," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(3), pages 887-910, August.
    14. Pedro L. Cosio & Manuel Crespo-Posadas & Álvaro Velarde-Sotres & Mireia Pelaez, 2021. "Effect of Chronic Resistance Training on Circulating Irisin: Systematic Review and Meta-Analysis of Randomized Controlled Trials," IJERPH, MDPI, vol. 18(5), pages 1-16, March.
    15. Augusteijn, Hilde Elisabeth Maria & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2021. "Posterior Probabilities of Effect Sizes and Heterogeneity in Meta-Analysis: An Intuitive Approach of Dealing with Publication Bias," OSF Preprints avkgj, Center for Open Science.
    16. Sesha Kethineni & Susan Frazier‐Kouassi & Yuki Shigemoto & Wesley Jennings & Stephanie M. Cardwell & Alex R. Piquero & Kimberly Gay & Dayanand Sundaravadivelu, 2021. "PROTOCOL: Effectiveness of parent‐engagement programs to reduce truancy and juvenile delinquency: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    17. Charlotte E. Gill & Jordan Hyatt & Lawrence W. Sherman, 2010. "PROTOCOL: Probation Intensity Effects on Probationers' Criminal Conduct," Campbell Systematic Reviews, John Wiley & Sons, vol. 6(1), pages 1-25.
    18. Ritchwood, Tiarney D. & Ford, Haley & DeCoster, Jamie & Sutton, Marnie & Lochman, John E., 2015. "Risky sexual behavior and substance use among adolescents: A meta-analysis," Children and Youth Services Review, Elsevier, vol. 52(C), pages 74-88.
    19. Georgiou, George K. & Guo, Kan & Naveenkumar, Nithya & Vieira, Ana Paula Alves & Das, J.P., 2020. "PASS theory of intelligence and academic achievement: A meta-analytic review," Intelligence, Elsevier, vol. 79(C).
    20. Jonas Moss & Riccardo De Bin, 2023. "Modelling publication bias and p‐hacking," Biometrics, The International Biometric Society, vol. 79(1), pages 319-331, March.

    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:19:y:2022:i:11:p:6381-:d:822916. 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.