The Meta-Problem in Scientific Research in Physical Education and Sport: Architecture and Pathways to Knowledge
DOI:
https://doi.org/10.17309/tmfv.2026.4.01Keywords:
meta-problem, scientific research, research design, methodology, knowledge generation, physical education, sport science, factorial experiment, adaptive processes, evidence synthesisAbstract
Purpose. To systematize approaches to understanding the meta-problem and its operationalization in research on physical education and sport.
Materials and Methods. The study was conducted as a theoretical-methodological analysis with elements of retrospective empirical verification. The logic of the work was based on the assumption that productive research programs are formed not only around local hypotheses, but around higher-order concepts that determine research architecture, sequence of proof, and pathways to new knowledge. Conceptual analysis, comparative methodological synthesis, and retrospective examination of completed doctoral studies devoted to modeling learning, training, and motor development processes were applied.
Results. The meta-problem was interpreted as a higher-level conceptual construct preceding the formulation of topic, aim, hypothesis, and methods. It determines the framework within which these elements acquire coherence and scientific meaning. It was shown that in physical education and sport, learning, upbringing, and training may be interpreted as derivative forms of a unified process of detecting deviations from a functionally optimal mode and correcting them. The central contradiction of development lies in the need to change while preserving functional stability. Under conditions of local and limited positive factor effects, classical two-group designs have restricted explanatory value, whereas factorial designs, repeated measurements, and response-surface approaches are more productive for identifying optimal regimes.
Conclusions. The meta-problem should be considered as a methodological level organizing the critical path of scientific inquiry. Its practical value lies in improving research design, manuscript evaluation, and the production of cumulative scientific knowledge.
Downloads
References
Wasserstein, R.L., & Lazar, N.A. (2016). The ASA statement on p-values: Context, process, and purpose. The American Statistician, 70(2), 129–133. https://doi.org/10.1080/00031305.2016.1154108 DOI: https://doi.org/10.1080/00031305.2016.1154108
Chalmers, I., & Glasziou, P. (2009). Avoidable waste in the production and reporting of research evidence. Obstetrics & Gynecology, 114(6), 1341–1345. https://doi.org/10.1097/AOG.0b013e3181c3020d DOI: https://doi.org/10.1097/AOG.0b013e3181c3020d
Sutton, A.J., Cooper, N.J., & Jones, D.R. (2009). Evidence synthesis as the key to more coherent and efficient research. BMC Medical Research Methodology, 9, Article 29. https://doi.org/10.1186/1471-2288-9-29 DOI: https://doi.org/10.1186/1471-2288-9-29
Kuhn, T.S. (1962). The Structure of Scientific Revolutions. University of Chicago Press.
Lakatos, I. (1970). Falsification and the methodology of scientific research programmes. In I. Lakatos & A. Musgrave (Eds.), Criticism and the Growth of Knowledge (pp. 91–196). Cambridge University Press. DOI: https://doi.org/10.1017/CBO9781139171434.009
Popper, K. (2005). The Logic of Scientific Discovery. Routledge. DOI: https://doi.org/10.4324/9780203994627
Bertalanffy, L. von. (1968). General System Theory: Foundations, Development, Applications. George Braziller.
Ioannidis, J.P.A. (2016). Why most clinical research is not useful. PLoS Medicine, 13(6), e1002049. https://doi.org/10.1371/journal.pmed.1002049 DOI: https://doi.org/10.1371/journal.pmed.1002049
Impellizzeri, F.M., & Marcora, S.M. (2009). Test validation in sport physiology: Lessons learned from clinimetrics. International Journal of Sports Physiology and Performance, 4(2), 269–277. https://doi.org/10.1123/ijspp.4.2.269 DOI: https://doi.org/10.1123/ijspp.4.2.269
Kiely, J. (2012). Periodization paradigms in the 21st century: Evidence-led or tradition-driven? International Journal of Sports Physiology and Performance, 7(3), 242–250. https://doi.org/10.1123/ijspp.7.3.242 DOI: https://doi.org/10.1123/ijspp.7.3.242
Balyi, I., Way, R., & Higgs, C. (2013). Long-Term Athlete Development. Human Kinetics. DOI: https://doi.org/10.5040/9781492596318
Bishop, D., Jones, E., & Woods, A.K. (2008). Recovery from training: A brief review. Journal of Strength and Conditioning Research, 22(3), 1015–1024. https://doi.org/10.1519/JSC.0b013e31816eb518 DOI: https://doi.org/10.1519/JSC.0b013e31816eb518
Halson, S.L. (2014). Monitoring training load to understand fatigue in athletes. Sports Medicine, 44(Suppl 2), S139–S147. https://doi.org/10.1007/s40279-014-0253-z DOI: https://doi.org/10.1007/s40279-014-0253-z
Khudolii, O.M. (2019). Research Program: Modeling of Young Gymnasts’ Training Process. Physical Education Theory and Methodology, 19(4), 168–178. https://doi.org/10.17309/tmfv.2019.4.02 DOI: https://doi.org/10.17309/tmfv.2019.4.02
Ivashchenko, O. (2020). Research Program: Modeling of Motor Abilities Development and Teaching of Schoolchildren. Physical Education Theory and Methodology, 20(1), 32–41. https://doi.org/10.17309/tmfv.2020.1.05 DOI: https://doi.org/10.17309/tmfv.2020.1.05
Box, G.E.P., & Wilson, K.B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society: Series B, 13(1), 1–45. DOI: https://doi.org/10.1111/j.2517-6161.1951.tb00067.x
Collins, L.M., Murphy, S.A., & Strecher, V. (2009). The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART). American Journal of Preventive Medicine, 32(5 Suppl), S112–S118. https://doi.org/10.1016/j.amepre.2007.01.022 DOI: https://doi.org/10.1016/j.amepre.2007.01.022
Grant, M.J., & Booth, A. (2009). A typology of reviews: An analysis of 14 review types and associated methodologies. Health Information & Libraries Journal, 26(2), 91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x DOI: https://doi.org/10.1111/j.1471-1842.2009.00848.x
Page, M.J., McKenzie, J.E., Bossuyt, P.M., Boutron, I., Hoffmann, T.C., Mulrow, C.D., Shamseer, L., Tetzlaff, J.M., Akl, E.A., Brennan, S.E., Chou, R., Glanville, J., Grimshaw, J.M., Hróbjartsson, A., Lalu, M.M., Li, T., Loder, E.W., Mayo-Wilson, E., McDonald, S., McGuinness, L.A., Stewart, L.A., Thomas, J., Tricco, A.C., Welch, V.A., Whiting, P., & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71 DOI: https://doi.org/10.1136/bmj.n71
Khudolii, O., Ivashchenko, O., & Khudolii, M. (2026). From Knowledge Mapping to Evidence Synthesis: A Critical Path Model for Constructing Coherent Scientific Texts. Physical Education Theory and Methodology, 26(3), 411–418. https://doi.org/10.17309/tmfv.2026.3.01 DOI: https://doi.org/10.17309/tmfv.2026.3.01
Bishop, D., Burnett, A., Farrow, D., & Gabbett, T. (2006). Sports-science roundtable: Does sports-science research influence practice? International Journal of Sports Physiology and Performance, 1(2), 161–168. https://doi.org/10.1123/ijspp.1.2.161 DOI: https://doi.org/10.1123/ijspp.1.2.161
Coutts, A.J., Crowcroft, S., & Kempton, T. (2018). Developing athlete monitoring systems: Theoretical basis and practical applications. International Journal of Sports Physiology and Performance, 13(5), 1–9.
Glasziou, P., Altman, D.G., Bossuyt, P., Boutron, I., Clarke, M., Julious, S., Michie, S., Moher, D., & Wager, E. (2014). Reducing waste from incomplete or unusable reports of biomedical research. The Lancet, 383(9913), 267–276. https://doi.org/10.1016/S0140-6736(13)62228-X DOI: https://doi.org/10.1016/S0140-6736(13)62228-X
Khudolii, O.M. (2010). Theoretical and methodological foundations of the training system for young gymnasts aged 7–13 years (Doctoral dissertation, specialty 24.00.01 Olympic and Professional Sport). Kharkiv, Ukraine.
Ivashchenko, O., Khudolii, O., Yermakova, T., Iermakov, S., Nosko, M., & Nosko, Y. (2016). Factorial and discriminant analysis as methodological basis of pedagogic control over motor and functional fitness of 14–16 year old girls. Journal of Physical Education and Sport, 16(2), 442–451. https://doi.org/10.7752/jpes.2016.02068 DOI: https://doi.org/10.7752/jpes.2016.02068
Ivashchenko, O., Khudolii, O., Iermakov, S., Chernenko, S., & Honcharenko, O. (2018). Full factorial experiment and discriminant analysis in determining peculiarities of motor skills development in boys aged 9. Journal of Physical Education and Sport, 18, 1958–1965. https://doi.org/10.7752/jpes.2018.s4289 DOI: https://doi.org/10.7752/jpes.2018.s4289
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Olha Ivashchenko, Oleg Khudolii, Mykola Khudolii

This work is licensed under a Creative Commons Attribution 4.0 International License.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

