Tips for Statistical Tools for Research Methods in Exercise and Sport Sciences
DOI:
https://doi.org/10.17309/tmfv.2023.3.20Keywords:
statistical analysis, parametric, non-parametric, guidelines, researchers, trainingAbstract
Study purpose. The increasing amount of research in Exercise and Sport Sciences emphasized the use of increasingly heuristic statistical tools appropriate to the aim in terms of qualitative, quantitative, and qualitative-quantitative data. Often, a lack of knowledge of statistical tools and their appropriateness for data analysis, especially between the use of parametric and non-parametric statistical techniques, is encountered by researchers. This requires the indispensable use of statistical experts, who, for the comprehensive understanding of the research design, need the use of human and economic resources that could probably be used differently and more efficiently. The aim of this study was to provide a list of the most used statistical methods in Exercise and Sport Sciences, focusing on the distinction between parametric and non-parametric statistical processing for both quantitative and qualitative research.
Materials and methods. The method was the literature review with argumentative elaborations concerning the validity of the use of the statistical tools.
Results. A total of 22 statistical tools, both parametric and non-parametric, were found: 5 useful to test relationship, 7 to compare two groups and 10 to compare two or more groups. For each statistical tool, a scientific paper related to Exercise and Sport Sciences was collected.
Conclusions. These data allow developing potential guidelines, applying to Exercise and Sport Sciences, for the rigorous model of research projects with a systematic use of statistical processing in the complete hypothesis of the study.
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Rojas-Valverde, D., Pino-Ortega, J., Gómez-Carmona, C. D., & Rico-González, M. (2020). A systematic review of methods and criteria standard proposal for the use of principal component analysis in team’s sports science. International Journal of Environmental Research and Public Health, 17(23), 8712. https://doi.org/10.3390/ijerph17238712 DOI: https://doi.org/10.3390/ijerph17238712
Sainani, K., & Chamari, K. (2022). Wish list for improving the quality of statistics in sport science. International Journal of Sports Physiology and Performance, 17(5), 673-674. https://doi.org/10.1123/ijspp.2022-0023 DOI: https://doi.org/10.1123/ijspp.2022-0023
Altman, D. G. (2002). Poor-quality medical research: what can journals do? Jama, 287(21), 2765-2767. https://doi.org/10.1001/jama.287.21.2765 DOI: https://doi.org/10.1001/jama.287.21.2765
Schroter, S., Black, N., Evans, S., Godlee, F., Osorio, L., & Smith, R. (2008). What errors do peer reviewers detect, and does training improve their ability to detect them? Journal of the Royal Society of Medicine, 101(10), 507-514. https://doi.org/10.1258/jrsm.2008.080062 DOI: https://doi.org/10.1258/jrsm.2008.080062
Kamuk, Y. U. (2020). Analysis of the statistical methods used in scientific papers in the field of sports sciences. SPORMETRE The Journal of Physical Education and Sport Sciences, 18(3), 73-85.
Mishra, P., Pandey, C. M., Singh, U., Keshri, A., & Sabaretnam, M. (2019). Selection of appropriate statistical methods for data analysis. Annals of Cardiac Anaesthesia, 22(3), 297. https://doi.org/10.4103/aca.ACA_248_18 DOI: https://doi.org/10.4103/aca.ACA_248_18
Sainani, K. L., Borg, D. N., Caldwell, A. R., Butson, M. L., Tenan, M. S., Vickers, A. J., ... & Bargary, N. (2021). Call to increase statistical collaboration in sports science, sport and exercise medicine and sports physiotherapy. British Journal of Sports Medicine, 55(2), 118-122. https://doi.org/10.1136/bjsports-2020-102607 DOI: https://doi.org/10.1136/bjsports-2020-102607
Raiola, G., D’Elia, F., Altavilla, G. (2018). Physical activity and sports sciences between European Research Council and academic disciplines in Italy. Journal of Human Sport and Exercise, 13, S283-S295. https://doi.org/10.14198/jhse.2018.13.Proc2.13 DOI: https://doi.org/10.14198/jhse.2018.13.Proc2.13
Raiola, G. (2019a). Comparison of exercise and sport sciences epistemology between European research council structure panel and Italian academic system. Sport Science, 12, 112-120.
Raiola, G. (2019b). Complex study for an epistemology of exercise and sport sciences: A)key concepts of both ERC subpanels and CUN keywords; b) physical training and sport methodology sciences academic disciplines in pedagogy recruitment sector and biomedical one: A correlationships study. Journal of Physical Education and Sport, 19(255), 1748-1754. https://doi.org/10.7752/jpes.2019.s5255 DOI: https://doi.org/10.7752/jpes.2019.s5255
Raiola, G. (2020). The Movement and Sport Science in Italy towards the European research council. Physical Culture and Sport. Studies and Research, 86(1), 37-48. https://doi.org/10.2478/pcssr-2020-0011 DOI: https://doi.org/10.2478/pcssr-2020-0011
Smaldino, P. E., & McElreath, R. (2016). The natural selection of bad science. Royal Society Open Science, 3(9), 160384. https://doi.org/10.1098/rsos.160384 DOI: https://doi.org/10.1098/rsos.160384
Akoglu, H. (2018). User’s guide to correlation coefficients. Turkish Journal of Emergency Medicine, 18(3), 91-93. https://doi.org/10.1016/j.tjem.2018.08.001 DOI: https://doi.org/10.1016/j.tjem.2018.08.001
Lopes, V. P., Stodden, D. F., Bianchi, M. M., Maia, J. A., & Rodrigues, L. P. (2012). Correlation between BMI and motor coordination in children. Journal of Science and Medicine in Sport, 15(1), 38-43. https://doi.org/10.1016/j.jsams.2011.07.005 DOI: https://doi.org/10.1016/j.jsams.2011.07.005
Ruffault, A., Bernier, M., Fournier, J., & Hauw, N. (2020). Anxiety and motivation to return to sport during the French COVID-19 lockdown. Frontiers in Psychology, 11, 610882. https://doi.org/10.3389/fpsyg.2020.610882 DOI: https://doi.org/10.3389/fpsyg.2020.610882
Pereira, L. A., Nimphius, S., Kobal, R., Kitamura, K., Turisco, L. A., Orsi, R. C., ... & Loturco, I. (2018). Relationship between change of direction, speed, and power in male and female national olympic team handball athletes. The Journal of Strength & Conditioning Research, 32(10), 2987-2994. https://doi.org/10.1519/JSC.0000000000002494 DOI: https://doi.org/10.1519/JSC.0000000000002494
Reigal, R. E., Vázquez-Diz, J. A., Morillo-Baro, J. P., Hernández-Mendo, A., & Morales-Sánchez, V. (2020). Psychological profile, competitive anxiety, moods and self-efficacy in beach handball players. International Journal of Environmental Research and Public Health, 17(1), 241. https://doi.org/10.3390/ijerph17010241 DOI: https://doi.org/10.3390/ijerph17010241
Aliberti, S., Rago, V., D’Elia, F., & Raiola, G. (2022). Questionnaire of inclusion in Paralympic dance: validation and pilot study. Sport Sciences for Health, 18(4), 1339-1347. https://doi.org/10.1007/s11332-022-00905-4 DOI: https://doi.org/10.1007/s11332-022-00905-4
Alsaedi, R. H. (2020). An assessment of the motor performance skills of children with autism spectrum disorder in the gulf region. Brain Sciences, 10(9), 607. https://doi.org/10.3390/brainsci10090607 DOI: https://doi.org/10.3390/brainsci10090607
Yu, P., Gong, Z., Meng, Y., Baker, J. S., István, B., & Gu, Y. (2020). The acute influence of running-induced fatigue on the performance and biomechanics of a countermovement jump. Applied Sciences, 10(12), 4319. https://doi.org/10.3390/app10124319 DOI: https://doi.org/10.3390/app10124319
Armstrong, C. A., & Oldham, J. A. (1999). A comparison of dominant and non-dominant hand strengths. The Journal of Hand Surgery: British & European Volume, 24(4), 421-425. https://doi.org/10.1054/JHSB.1999.0236 DOI: https://doi.org/10.1054/JHSB.1999.0236
Kim, H. Y. (2017). Statistical notes for clinical researchers: Chi-squared test and Fisher’s exact test. Restorative Dentistry & Endodontics, 42(2), 152-155. https://doi.org/10.5395/rde.2017.42.2.152 DOI: https://doi.org/10.5395/rde.2017.42.2.152
Cohen, J. (1998). Statistical power analysis for the behavioural sciences, XXI. Hillsdale, NJ: L Erlbaum Associates.
Kiliç, M., & Nalbant, S. S. (2022). The effect of latin dance on dynamic balance. Gait & Posture, 92, 264-270. https://doi.org/10.1016/j.gaitpost.2021.11.037 DOI: https://doi.org/10.1016/j.gaitpost.2021.11.037
Haward, B. M., & Griffin, M. J. (2002). Repeatability of grip strength and dexterity tests and the effects of age and gender. International Archives of Occupational and Environmental Health, 75, 111-119. https://doi.org/10.1007/s004200100285 DOI: https://doi.org/10.1007/s004200100285
Wingerson, M. J., Baugh, C. M., Provance, A., Armento, A., Walker, G., & Howell, D. R. (2021). Differences in quality of life, sleep, and physical activity in adolescent athletes before and during COVID-19. Orthopaedic Journal of Sports Medicine, 9(7_suppl3), 2325967121S00152. https://doi.org/10.1177/2325967121S00152 DOI: https://doi.org/10.1177/2325967121S00152
Perrin, P., Deviterne, D., Hugel, F., & Perrot, C. (2002). Judo, better than dance, develops sensorimotor adaptabilities involved in balance control. Gait & Posture, 15(2), 187-194. https://doi.org/10.1016/S0966-6362(01)00149-7 DOI: https://doi.org/10.1016/S0966-6362(01)00149-7
Amirjani, N., Ashworth, N. L., Gordon, T., Edwards, D. C., & Chan, K. M. (2007). Normative values and the effects of age, gender, and handedness on the Moberg Pick‐Up Test. Muscle & Nerve: Official Journal of the American Association of Electrodiagnostic Medicine, 35(6), 788-792. https://doi.org/10.1002/mus.20750 DOI: https://doi.org/10.1002/mus.20750
Di Pasquale, S., & Wood, M. (2017). The effect of classical ballet and contemporary dance training on hip extensor flexibility and strength in novice dancers: A pilot study. Performance Enhancement & Health, 5(3), 108-114. https://doi.org/10.1016/j.peh.2016.11.003 DOI: https://doi.org/10.1016/j.peh.2016.11.003
Richardson, J. T. (2011). Eta squared and partial eta squared as measures of effect size in educational research. Educational Research Review, 6(2), 135-147. https://doi.org/10.1016/j.edurev.2010.12.001 DOI: https://doi.org/10.1016/j.edurev.2010.12.001
Pinto, J. C. B. D. L., Menezes, T. C. B., Fonteles, A. I., & Mortatti, A. L. (2022). Impact of successive basketball matches in psychophysiological response and neuromuscular performance in adolescent players. Sport Sciences for Health, 18(4), 1513-1521. https://doi.org/10.1007/s11332-022-01000-4 DOI: https://doi.org/10.1007/s11332-022-01000-4
Lefferts, E. C., Saavedra, J. M., Song, B. K., & Lee, D. C. (2022). Effect of the COVID-19 pandemic on physical activity and sedentary behavior in older adults. Journal of Clinical Medicine, 11(6), 1568. https://doi.org/10.3390/jcm11061568 DOI: https://doi.org/10.3390/jcm11061568
Chtara, M., Rouissi, M., Haddad, M., Chtara, H., Chaalali, A., Owen, A., & Chamari, K. (2017). Specific physical trainability in elite young soccer players: efficiency over 6 weeks’ in-season training. Biology of Sport, 34(2), 137-148. https://doi.org/10.5114/biolsport.2017.64587 DOI: https://doi.org/10.5114/biolsport.2017.64587
Gorman, P. P., Butler, R. J., Rauh, M. J., Kiesel, K., & Plisky, P. J. (2012). Differences in dynamic balance scores in one sport versus multiple sport high school athletes. International Journal of Sports Physical Therapy, 7(2), 148.
García-Pinillos, F., Laredo-Aguilera, J. A., Muñoz-Jiménez, M., & Latorre-Román, P. A. (2019). Effects of 12-week concurrent high-intensity interval strength and endurance training program on physical performance in healthy older people. The Journal of Strength & Conditioning Research, 33(5), 1445-1452. https://doi.org/10.1519/JSC.0000000000001895 DOI: https://doi.org/10.1519/JSC.0000000000001895
Modroño, C., & Guillén, F. (2016). Motivation and self-concept in windsurfers: A study of professional and recreational participants. Revista de Psicología del Deporte, 25(1), 105-112.
Norjali, R., Mostaert, M., Pion, J., & Lenoir, M. (2018). Anthropometry, physical performance, and motor coordination of medallist and non-medallist young fencers. Archives of Budo, 14, 33-40. http://hdl.handle.net/1854/LU-8599260
D’Elia, F. (2019). The training of physical education teacher in primary school. Journal of Human Sport and Exercise, 14, S100-S104. https://doi.org/10.14198/jhse.2019.14.Proc1.12 DOI: https://doi.org/10.14198/jhse.2019.14.Proc1.12
D’Isanto, T. (2019). Physical and sport education between Italian academic system and European Research Council structure panel. Journal of Human Sport and Exercise, 14, S66-S76. https://doi.org/10.14198/jhse.2019.14.Proc1.08 DOI: https://doi.org/10.14198/jhse.2019.14.Proc1.08
D’Isanto, T., D’Elia, F., Altavilla, G., Aliberti, S., Esposito, G., Di Domenico, F., & Raiola, G. (2022). In Italy, compatibility between qualifying training objectives of degree courses in sport sciences and exercise and the kinesiologist profile. Trends in Sport Sciences, 29(3), 99-105. https://doi.org/10.23829/TSS.2022.29.3-3
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