IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i10p3593-d360636.html
   My bibliography  Save this article

Psychometric Properties of the Polish Version of Task and Ego Orientation in Sport Questionnaire (TEOSQ)

Author

Listed:
  • Maciej Tomczak

    (Department of Psychology, Poznan University of Physical Education, 61-871 Poznan, Poland)

  • Małgorzata Walczak

    (Department of Psychology, Poznan University of Physical Education, 61-871 Poznan, Poland)

  • Paweł Kleka

    (Faculty of Psychology and Cognitive Sciences, Adam Mickiewicz University in Poznan, 60-568 Poznan, Poland)

  • Aleksandra Walczak

    (Faculty of Medicine, Poznan University of Medical Sciences, 61-701 Poznan, Poland)

  • Łukasz Bojkowski

    (Department of Psychology, Poznan University of Physical Education, 61-871 Poznan, Poland)

Abstract

The main aim of the study was to assess the psychometric properties of the Polish version of the task and ego orientation in sport questionnaire (TEOSQ). The study covered 651 athletes aged 19.2 years, SD (Standard deviation) = 2.21. The task and ego orientation in sport questionnaire (TEOSQ) and sport motivation scale (SMS-28) were used. Cronbach’s Alpha for the ego subscale was 0.84, and for the task subscale 0.81 (McDonald’s omega was 0.84, 0.82 respectively). The reliability of the test-retest with two weeks interval was ICC (Intraclass correlation coefficient) = 0.86 for ego and ICC = 0.86 for task. Initially, the two-factor model was not fully fitted (CFI (Comparative fit index) = 0.84), however the model with correlated errors for selected test items was well fitted to data (CFI = 0.95). Statistically significant, positive correlations between the task orientation and the intrinsic motivation components were obtained. Additionally, individual athletes had higher scores on the ego factor and lower scores on the task factor than the team athletes. These effects were moderated by the level of participation and occurred among high-performance athletes. Due to satisfactory reliability and validity indicators the Polish version of the task and ego orientation in sport questionnaire (TEOSQ) can be used both for scientific research and in the individual diagnostics of athletes.

Suggested Citation

  • Maciej Tomczak & Małgorzata Walczak & Paweł Kleka & Aleksandra Walczak & Łukasz Bojkowski, 2020. "Psychometric Properties of the Polish Version of Task and Ego Orientation in Sport Questionnaire (TEOSQ)," IJERPH, MDPI, vol. 17(10), pages 1-12, May.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:10:p:3593-:d:360636
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/10/3593/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/10/3593/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rizopoulos, Dimitris, 2006. "ltm: An R Package for Latent Variable Modeling and Item Response Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i05).
    2. Richard Zinbarg & William Revelle & Iftah Yovel & Wen Li, 2005. "Cronbach’s α, Revelle’s β, and Mcdonald’s ω H : their relations with each other and two alternative conceptualizations of reliability," Psychometrika, Springer;The Psychometric Society, vol. 70(1), pages 123-133, March.
    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. Arne Martin Jakobsen, 2023. "How Can Autonomy Support from a Coach, Basic Psychological Needs, and the Psychological Climate Explain Ego and Task Involvement?," IJERPH, MDPI, vol. 20(21), pages 1-10, October.
    2. Maciej Tomczak & Małgorzata Walczak & Paweł Kleka & Aleksandra Walczak & Łukasz Bojkowski, 2020. "The Measurement of Goal Orientation in Sport: Psychometric Properties of the Polish Version of the Perception of Success Questionnaire (POSQ)," IJERPH, MDPI, vol. 17(18), pages 1-16, September.
    3. Paweł Kalinowski & Olga Bugaj & Łukasz Bojkowski & Yee Cheng Kueh & Garry Kuan, 2022. "Application of Stress Coping Ability as a Conduit between Goal Orientation and Play Effectiveness among Polish Soccer Players," IJERPH, MDPI, vol. 19(12), pages 1-9, June.
    4. Verónica Morales-Sánchez & Nuria Pérez-Romero & María Auxiliadora Franquelo & Isabel Balaguer & Antonio Hernández-Mendo & Rafael E. Reigal, 2022. "Task and Ego Orientation in Sport Questionnaire (TEOSQ): Psychometric Properties in Its Digital Version," IJERPH, MDPI, vol. 19(6), pages 1-9, March.
    5. Kanupriya Rawat & Aleksandra Błachnio & Krzysztof Suppan, 2023. "Psychometric Properties of the Polish Version of the Sports Anxiety Scale-2 (SAS-2)," IJERPH, MDPI, vol. 20(14), pages 1-13, July.

    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. Anne-Catherine Guio & David Gordon & Eric Marlier & Hector Najera & Marco Pomati, 2018. "Towards an EU measure of child deprivation," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(3), pages 835-860, June.
    2. Gaetano Martino & Giulia Giacchè & Enrica Rossetti, 2016. "Organizing the Co-Production of Health and Environmental Values in Food Production: The Constitutional Processes in the Relationships between Italian Solidarity Purchasing Groups and Farmers," Sustainability, MDPI, vol. 8(4), pages 1-22, March.
    3. Nick Bailey, 2020. "Measuring Poverty Efficiently Using Adaptive Deprivation Scales," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 891-910, June.
    4. W. W. Koczkodaj & T. Kakiashvili & A. Szymańska & J. Montero-Marin & R. Araya & J. Garcia-Campayo & K. Rutkowski & D. Strzałka, 2017. "How to reduce the number of rating scale items without predictability loss?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 581-593, May.
    5. Yang Yixin & Lü Xin & Ma Jian & Qiao Han, 2014. "A Robust Factor Analysis Model for Dichotomous Data," Journal of Systems Science and Information, De Gruyter, vol. 2(5), pages 437-450, October.
    6. Arulmani Thiyagarajan & Tyler G. James & Roy Rillera Marzo, 2022. "Psychometric properties of the 21-item Depression, Anxiety, and Stress Scale (DASS-21) among Malaysians during COVID-19: a methodological study," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
    7. Frick, Hannah & Strobl, Carolin & Leisch, Friedrich & Zeileis, Achim, 2012. "Flexible Rasch Mixture Models with Package psychomix," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i07).
    8. Daniel L. Oberski, 2016. "A Review of Latent Variable Modeling With R," Journal of Educational and Behavioral Statistics, , vol. 41(2), pages 226-233, April.
    9. Cervantes, Víctor H., 2017. "DFIT: An R Package for Raju's Differential Functioning of Items and Tests Framework," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i05).
    10. Andrew Karl & Randy Eubank & Jelena Milovanovic & Mark Reiser & Dennis Young, 2014. "Using RngStreams for parallel random number generation in C++ and R," Computational Statistics, Springer, vol. 29(5), pages 1301-1320, October.
    11. Brittney K. Anderson & John P. Meyer & Chelsea Vaters & Jose A. Espinoza, 2020. "Measuring Personal Growth and Development in Context: Evidence of Validity in Educational and Work Settings," Journal of Happiness Studies, Springer, vol. 21(6), pages 2141-2167, August.
    12. Clemens M Lechner & Daniel Danner & Beatrice Rammstedt, 2019. "Grit (effortful persistence) can be measured with a short scale, shows little variation across socio-demographic subgroups, and is associated with career success and career engagement," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-29, November.
    13. Piotr Koc, 2021. "Measuring Non-electoral Political Participation: Bi-factor Model as a Tool to Extract Dimensions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 271-287, July.
    14. Sora Lee & Daniel M. Bolt, 2018. "Asymmetric Item Characteristic Curves and Item Complexity: Insights from Simulation and Real Data Analyses," Psychometrika, Springer;The Psychometric Society, vol. 83(2), pages 453-475, June.
    15. Escribano, Rosario & Treviño, Ernesto & Nussbaum, Miguel & Torres Irribarra, David & Carrasco, Diego, 2020. "How much does the quality of teaching vary at under-performing schools? Evidence from classroom observations in Chile," International Journal of Educational Development, Elsevier, vol. 72(C).
    16. Bhaskar Mukherjee & Siniša Subotić & Ajay Kumar Chaubey, 2018. "And now for something completely different: the congruence of the Altmetric Attention Score’s structure between different article groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 253-275, January.
    17. Jochen Ranger & Kay Brauer, 2022. "On the Generalized S − X 2 –Test of Item Fit: Some Variants, Residuals, and a Graphical Visualization," Journal of Educational and Behavioral Statistics, , vol. 47(2), pages 202-230, April.
    18. Nick Bailey & Anne-Catherine Guio, 2022. "Adaptive Deprivation Scales in a Multi-National Context: The European Child Deprivation Indicators," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(6), pages 2335-2362, December.
    19. Salim Moussa, 2016. "A Comment on the Estimation of the Reliability of Multidimensional Marketing Constructs: A Store Personality Scale Application," Global Business Review, International Management Institute, vol. 17(5), pages 1125-1144, October.
    20. Fuchs, Lisa Elena & Orero, Levi & Apondi, Victoria Atieno & Kipkorir, Lang'at, 2021. "How to stop wasting money in international development: Using a structured group selection approach to counter procedural inefficiency," World Development Perspectives, Elsevier, vol. 24(C).

    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:17:y:2020:i:10:p:3593-:d:360636. 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.