Bayesian analysis of changes in standing horizontal and vertical jump after different modes of resistance training

References

• Aagaard, P., Simonsen, E. B., Andersen, J. L., Magnusson, P., & Dyhre-Poulsen, P. (2002). Increased rate of force development and neural drive of human skeletal muscle following resistance training. Journal of Applied Physiology (Bethesda, 93(4), 1318–1326. https://doi.org/10.1152/japplphysiol.00283.2002 Md.: 1985)
   PubMed Web of Science ®Google Scholar
• Aarts, S., Winkens, B., & van Den Akker, M. (2011, December). The insignificance of statistical significance. The European Journal of General Practice, 18(1), 50–52. https://doi.org/10.3109/13814788.2011.618222
   PubMed Web of Science ®Google Scholar
• Amrhein, V., Greenland, S., & McShane, B. (2019). Scientists Rise up against Statistical Significance. Nature, 567(7748), 305. https://doi.org/10.1038/d41586-019-00857-9
   PubMed Web of Science ®Google Scholar
• Andersen, V., Fimland, M. S., Dag-Andrè, M., Iversen, V. M., Vederhus, T., Rockland Hellebø, L. R., Nordaune, K. I., & Saeterbakken, A. H. (2018). Electromyographic comparison of barbell deadlift, hex bar deadlift, and hip thrust exercises: A cross-over study. Journal of Strength and Conditioning Research, 32(3), 587–593. doi:10.1519/JSC.0000000000001826
   PubMed Web of Science ®Google Scholar
• Barker, R. J., & Schofield, M. R. (2008). Inference about magnitudes of effects. International Journal of Sports Physiology and Performance, 3(4), 547–557. https://doi.org/10.1123/ijspp.3.4.547
   PubMed Web of Science ®Google Scholar
• Batterham, A. M., & Hopkins, W. G. (2006). Making meaningful inferences about magnitudes. International Journal of Sports Physiology and Performance, 1(1), 50–57. https://doi.org/10.1123/ijspp.1.1.50
   PubMed Web of Science ®Google Scholar
• Boraczyński, M., Boraczyński, T., Podstawski, R., Wójcik, Z., & Gronek, P. (2020). Relationships between measures of functional and isometric lower body strength, aerobic capacity, anaerobic power, sprint and countermovement jump performance in professional soccer players. Journal of Human Kinetics, 75(October), 161–175. https://doi.org/10.2478/hukin-2020-0045
   PubMed Web of Science ®Google Scholar
• Borg, D. N., Minett, G. M., Stewart, I. B., & Drovandi, C. C. (2018). Bayesian methods might solve the problems with magnitude-based inference. Medicine and Science in Sports and Exercise, 50(12), 2609–2610. https://doi.org/10.1249/MSS.0000000000001736
   PubMed Web of Science ®Google Scholar
• Brughelli, M., Cronin, J., & Chaouachi, A. (2011). Effects of running velocity on running kinetics and kinematics. Journal of Strength and Conditioning Research, 25(4), 933–939. https://doi.org/10.1519/JSC.0b013e3181c64308
   PubMed Web of Science ®Google Scholar
• Buchheit, M., Samozino, P., Alexander Glynn, J., Simpson Michael, B., Al Haddad, H., Mendez-Villanueva, A., & Benoit Morin, J. (2014). Mechanical determinants of acceleration and maximal sprinting speed in highly trained young soccer players. Journal of Sports Sciences, 32(20), 1906–1913. doi:10.1080/02640414.2014.965191
   PubMed Web of Science ®Google Scholar
• Burnie, L., Barratt, P., Davids, K., Stone, J., Worsfold, P., & Wheat, J. (2018). Coaches’ philosophies on the transfer of strength training to elite sports performance. International Journal of Sports Science & Coaching, 13(5), 729–736. https://doi.org/10.1177/1747954117747131
   Web of Science ®Google Scholar
• Butson, M. L. (2017, November). Will the numbers really love you back: re-examining magnitude-based inference. Open Science Framework. doi:10.17605/OSF.IO/E3VS6
   Google Scholar
• Carpenter, B., Gelman, A., Hoffman, M. D., Lee, D., Goodrich, B., Betancourt, M., Brubaker, M., Guo, J., Peter, L., & Riddell, A. (2017). Stan: A probabilistic programming language. Journal of Statistical Software, 76(1), 1–32. doi:10.18637/jss.v076.i01
   PubMed Web of Science ®Google Scholar
• Chelly, M. S., Fathloun, M., Cherif, N., Ben Amar, M., Tabka, Z., & Van Praagh, E. (2009). Effects of a back squat training program on leg power, jump, and sprint performances in junior soccer players. Journal of Strength and Conditioning Research, 23(8), 2241–2249. https://doi.org/10.1519/JSC.0b013e3181b86c40
   PubMed Web of Science ®Google Scholar
• Contreras, B., Cronin, J., Schoenfeld, B., Nates, R., & Tiryaki Sonmez, G. (2013). Are All Hip Extension Exercises Created Equal? Strength and Conditioning Journal, 35(2), 17–22. https://doi.org/10.1519/SSC.0b013e318289fffd
   Web of Science ®Google Scholar
• Contreras, B., Vigotsky, A. D., Schoenfeld, B. J., Beardsley, C., & Cronin, J. (2015). A comparison of gluteus maximus, biceps femoris, and vastus lateralis electromyographic activity in the back squat and barbell hip thrust exercises. Journal of Applied Biomechanics, 31(6), 452–458. doi:10.1123/jab.2014-0301
   PubMed Web of Science ®Google Scholar
• Contreras, B., Vigotsky, A. D., Schoenfeld, B. J., Beardsley, C., McMaster, D. T., Reyneke, J. H. T., & Cronin, J. B. (2017). Effects of a six-week hip thrust vs. front squat resistance training program on performance in adolescent males: A randomized controlled trial. Journal of Strength and Conditioning Research, 31(4), 999–1008. https://doi.org/10.1519/JSC.0000000000001510
   PubMed Web of Science ®Google Scholar
• Cormie, P., McGuigan, M. R., & Newton, R. U. (2011). Developing maximal neuromuscular power: part 2 - training considerations for improving maximal power production. Sports Medicine (Auckland, N.Z.), 41(2), 125–146. https://doi.org/10.2165/11538500-000000000-00000
   PubMed Web of Science ®Google Scholar
• Cumming, G. (2011). Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis (1 ed.). Routledge.
   Google Scholar
• Cumming, G. (2014). The New Statistics: Why and How. Psychological Science, 25(1), 7–29. https://doi.org/10.1177/0956797613504966
   PubMed Web of Science ®Google Scholar
• Delgado, J., Drinkwater, E. J., Banyard, H. G., Gregory Haff, G., & Nosaka, K. (2019). Comparison between back squat, Romanian deadlift, and barbell hip thrust for leg and hip muscle activities during hip extension. Journal of Strength and Conditioning Research, 33(10), 2595–2601. doi:10.1519/JSC.0000000000003290
   PubMed Web of Science ®Google Scholar
• Dienes, Z. (2011). Bayesian versus orthodox statistics: Which side are you on? Perspectives on Psychological Science, 6(3), 274–290. https://doi.org/10.1177/1745691611406920
   Web of Science ®Google Scholar
• Ebben, W. P., Feldmann, C. R., Dayne, A., Mitsche, D., Alexander, P., & Knetzger, K. J. (2009). Muscle activation during lower body resistance training. International Journal of Sports Medicine, 30(1), 1–8. https://doi.org/10.1055/s-2008-1038785
   PubMed Web of Science ®Google Scholar
• Etz, A. (2018). Introduction to the Concept of Likelihood and Its Applications. Advances in Methods and Practices in Psychological Science, 1(1), 60–69. https://doi.org/10.1177/2515245917744314
   Google Scholar
• Falch, N., Hallvard, H. G. R., & Van den Tillaar, R. (2020). Relationship of performance measures and muscle activity between a 180° change of direction task and different countermovement jumps. Sports (Basel, Switzerland), 8(4), E47. https://doi.org/10.3390/sports8040047
   PubMedGoogle Scholar
• Fitzpatrick, D. A., Cimadoro, G., & Cleather, D. J. (2019). The magical horizontal force muscle? A preliminary study examining the “force-vector” theory. Sports, 7(2), 30. https://doi.org/10.3390/sports7020030
   Web of Science ®Google Scholar
• Fleck, S. J. (1999). Periodized strength training: A critical review. The Journal of Strength & Conditioning Research, 13(1), 82–89. https://journals.lww.com/nsca-jscr/abstract/1999/02000/periodized_strength_training__a_critical_review.15.aspx
   Web of Science ®Google Scholar
• Garceau, L., Lutsch, B., Gary, A., Szalkowski, C., Wurm, B., & Ebben, W. 2010. ‘Hamstrings, quadriceps, and gluteal muscle activation during resistance training exercises’. ISBS - Conference Proceedings Archive. https://ojs.ub.uni-konstanz.de/cpa/article/view/4415.
   Google Scholar
• Gelman, A., & Rohilla Shalizi, C. (2013). Philosophy and the practice of bayesian statistics. The British Journal of Mathematical and Statistical Psychology, 66(1), 8–38. doi:10.1111/j.2044-8317.2011.02037.x
   PubMed Web of Science ®Google Scholar
• Gelman, A., & Carlin, J. (2014). Beyond power calculations: assessing type S (sign) and type M (magnitude) errors. Perspectives on Psychological Science: A Journal of the Association for Psychological Science, 9(6), 641–651. https://doi.org/10.1177/1745691614551642
   PubMedGoogle Scholar
• Goodwin, J. E., & Cleather, D. J. (2016). The biomechanical principles underpinning strength and conditioning Jeffreys, I, Moody, J 2nd . In Strength and Conditioning for Sports Performance. Routledge Chapter 6 doi:10.4324/9780429330988 .
   Google Scholar
• Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N., & Altman, D. G. (2016). Statistical tests, P values, confidence intervals, and power: A guide to misinterpretations. European Journal of Epidemiology, 31(4) , 337–350. https://doi.org/10.1007/s10654-016-0149-3
   PubMed Web of Science ®Google Scholar
• Hoekstra, R., Morey, R. D., Rouder, J. N., & Wagenmakers, E.-J. (2014). Robust misinterpretation of confidence intervals. Psychonomic Bulletin & Review, 21(5), 1157–1164. https://doi.org/10.3758/s13423-013-0572-3
   PubMed Web of Science ®Google Scholar
• Hoffman, M. D., & Gelman, A. (2014). The no-u-turn sampler: adaptively setting path lengths in Hamiltonian monte carlo. Journal of Machine Learning Research, 15(47), 1593–1623. doi:10.5555/2627435.2638586
   Google Scholar
• Hopkins, W. G. (2000). Measures of reliability in sports medicine and science. Sports Medicine, 30(1), 1–15. https://doi.org/10.2165/00007256-200030010-00001
   PubMed Web of Science ®Google Scholar
• IntHout, J., Ioannidis, P. A., Borm, Goeman, J. J., & Borm, G. F. (2015). Small studies are more heterogeneous than large ones: A Meta-meta-analysis. Journal of Clinical Epidemiology, 68(8), 860–869. https://doi.org/10.1016/j.jclinepi.2015.03.017
   PubMed Web of Science ®Google Scholar
• Jahn, R. G., & Dunne, B. J. (2007). Science of the subjective. EXPLORE, 3(3), 295–305. https://doi.org/10.1016/j.explore.2007.03.014
   Google Scholar
• Kochan, J. (2013). Subjectivity and emotion in scientific research. Studies in History and Philosophy of Science Part A, 44(3), 354–362. https://doi.org/10.1016/j.shpsa.2013.05.003
   Web of Science ®Google Scholar
• Kopper, B., Csende, Z., Sáfár, S., Hortobágyi, T., & Tihanyi, J. (2013). Muscle activation history at different vertical jumps and its influence on vertical velocity. Journal of Electromyography and Kinesiology: Official Journal of the International Society of Electrophysiological Kinesiology, 23(1), 132–139. https://doi.org/10.1016/j.jelekin.2012.09.005
   PubMed Web of Science ®Google Scholar
• Kruschke, J. K., & Liddell, T. M. (2017). Bayesian data analysis for newcomers. Psychonomic Bulletin & Review, 24(2) , 1–23. https://doi.org/10.3758/s13423-017-1272-1
   PubMed Web of Science ®Google Scholar
• Kruschke, J. K., & Liddell, T. M. (2018). The bayesian new statistics: hypothesis testing, estimation, meta-analysis, and power analysis from a bayesian perspective. Psychonomic Bulletin & Review, 25(1), 178–206. https://doi.org/10.3758/s13423-016-1221-4
   PubMed Web of Science ®Google Scholar
• Lockie, R. G., Stage, A. A., Stokes, J. J., Orjalo, A. J., Davis, D. L., Giuliano, D. V., Moreno, M. R., Risso, F. G., Lazar, A., Birmingham-Babauta, S. A., & Tomita, T. M. (2016). Relationships and predictive capabilities of jump assessments to soccer-specific field test performance in division i collegiate players. Sports (Basel, Switzerland), 4(4), E56. https://doi.org/10.3390/sports4040056
   PubMedGoogle Scholar
• Loturco, I., Pereira, L. A., Cal Abad, C. C., D’Angelo, R. A., Fernandes, V., Kitamura, K., Kobal, R., & Nakamura, F. Y. (2015). Vertical and horizontal jump tests are strongly associated with competitive performance in 100-m dash events. Journal of Strength and Conditioning Research, 29(7), 1966–1971. doi:10.1519/JSC.0000000000000849
   PubMed Web of Science ®Google Scholar
• Loturco, I., Contreras, B., Kobal, R., Fernandes, V., Moura, N., Siqueira, F., Winckler, C., Suchomel, T., Adriano Pereira, L., & Rogan, S. (2018). Vertically and horizontally directed muscle power exercises: relationships with top-level sprint performance. PLOS ONE, 13(7), e0201475. https://doi.org/10.1371/journal.pone.0201475
   PubMed Web of Science ®Google Scholar
• Lyon, A. (2014). Why Are Normal Distributions Normal? The British Journal for the Philosophy of Science, 65(3), 621–649. https://doi.org/10.1093/bjps/axs046
   Web of Science ®Google Scholar
• Maćkała, K., Stodółka, J., Siemienski, A., & Coh, M. (2013). Biomechanical analysis of squat jump and countermovement jump from varying starting positions. Journal of Strength and Conditioning Research, 27(10), 2650–2661. https://doi.org/10.1519/JSC.0b013e31828909ec
   PubMed Web of Science ®Google Scholar
• Maćkała, K., Fostiak, M., & Kowalski, K. (2015). Selected Determinants of Acceleration in the 100m Sprint. Journal of Human Kinetics, 45(March), 135–148. doi:10.1515/hukin-2015-0014
   PubMed Web of Science ®Google Scholar
• MacKenzie, S. J., Lavers, R. J., & Wallace, B. B. (2014). A biomechanical comparison of the vertical jump, power clean, and jump squat. Journal of Sports Sciences, 32(16), 1576–1585. doi:10.1080/02640414.2014.908320
   PubMed Web of Science ®Google Scholar
• Markovic, G., Dizdar, D., Jukic, I., & Cardinale, M. (2004). Reliability and factorial validity of squat and countermovement jump tests. Journal of Strength and Conditioning Research, 18(3), 551–555. https://doi.org/10.1519/1533-4287
   PubMed Web of Science ®Google Scholar
• Masaru, T., Cross, C. L., & Willick, S. E. (2016). Predictive value of national football league scouting combine on future performance of running backs and wide receivers. Journal of Strength and Conditioning Research, 30(5), 1379–1390. https://doi.org/10.1519/JSC.0000000000001202
   PubMed Web of Science ®Google Scholar
• McCurdy, K., Walker, J., & Yuen, D. (2018). Gluteus maximus and hamstring activation during selected weight-bearing resistance exercises. Journal of Strength and Conditioning Research, 32(3), 594–601. https://doi.org/10.1519/JSC.0000000000001893
   PubMed Web of Science ®Google Scholar
• McElreath, R. (2016). Statistical Rethinking: A Bayesian Course with Examples in R and Stan (1 ed.). Chapman and Hall/CRC.
   Google Scholar
• Mengersen, K. L., Drovandi, C. C., Robert, C. P., Pyne, D. B., Gore, C. J., & Chen, C. W. S. (2016). Bayesian estimation of small effects in exercise and sports science. PLOS ONE, 11(4), e0147311. https://doi.org/10.1371/journal.pone.0147311
   PubMed Web of Science ®Google Scholar
• Morton, R. W., Oikawa, S. Y., Wavell, C. G., Mazara, N., McGlory, C., Quadrilatero, J., Baechler, B. L., Baker, S. K., & Phillips, S. M. (2016). Neither load nor systemic hormones determine resistance training-mediated hypertrophy or strength gains in resistance-trained young men. Journal of Applied Physiology (Bethesda, 121(1), 129–138. https://doi.org/10.1152/japplphysiol.00154.2016 Md.: 1985)
   PubMed Web of Science ®Google Scholar
• Nakagawa, S., & Cuthill, I. C. (2007). Effect size, confidence interval and statistical significance: A practical guide for biologists. Biological Reviews of the Cambridge Philosophical Society, 82(4), 591–605. doi:10.1111/j.1469-185X.2007.00027.x
   PubMed Web of Science ®Google Scholar
• Neto, W. K., Lima Vieira, T., & Florencio Gama, E. (2019). Barbell hip thrust, muscular activation and performance: A systematic review. Journal of Sports Science & Medicine, 18(2), 198–206. https://www.jssm.org/jssm-18-198.xml%3EFulltext
   PubMed Web of Science ®Google Scholar
• Neto, W. K., Vieira, T. L., & Gama, E. F. (2019). Barbell Hip Thrust, Muscular Activation and Performance: A Systematic Review. Journal of Sports Science & Medicine, 18(2), 198–206.
   PubMed Web of Science ®Google Scholar
• Nijem, R. M., Coburn, J. W., Brown, L. E., Lynn, S. K., & Ciccone, A. B. (2016). Electromyographic and force plate analysis of the deadlift performed with and without chains. Journal of Strength and Conditioning Research, 30(5), 1177–1182. https://doi.org/10.1519/JSC.0000000000001351
   PubMed Web of Science ®Google Scholar
• Paul, D. J., & Nassis, G. P. (2015). Testing strength and power in soccer players: The application of conventional and traditional methods of assessment. Journal of Strength and Conditioning Research, 29(6), 1748–1758. https://doi.org/10.1519/JSC.0000000000000807
   PubMed Web of Science ®Google Scholar
• Pereira, T. V., Horwitz, R. I., & Ioannidis, J. P. A. (2012). Empirical evaluation of very large treatment effects of medical interventions. JAMA, 308(16), 1676–1684. https://doi.org/10.1001/jama.2012.13444
   PubMed Web of Science ®Google Scholar
• Pernet, C. (2017). Null hypothesis significance testing: a guide to commonly misunderstood concepts and recommendations for good practice. F1000Research, 4(October), 621. https://doi.org/10.12688/f1000research.6963.4
   Google Scholar
• R Core Team. (2021). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. https://www.R-project.org/
   Google Scholar
• Rhea, M. R. (2004). Determining the magnitude of treatment effects in strength training research through the use of the effect size. Journal of Strength and Conditioning Research, 18(4), 918–920.
   PubMed Web of Science ®Google Scholar
• Sainani, K. L. The Problem with “Magnitude-Based Inference”. (2018). Medicine and Science in Sports and Exercise, 50(10), 2166–2176. Publish Ahead of Print (April. https://doi.org/10.1249/MSS.0000000000001645
   PubMed Web of Science ®Google Scholar
• Seitz, L. B., Reyes, A., Tran, T. T., de Villarreal, E. S., & Gregory Haff, G. (2014). Increases in lower-body strength transfer positively to sprint performance: A systematic review with meta-analysis. Sports Medicine (Auckland, N.Z.), 44(12), 1693–1702. https://doi.org/10.1007/s40279-014-0227-1
   PubMed Web of Science ®Google Scholar
• Shalfawi, S. A. I., Sabbah, A., Kailani, G., Tønnessen, E., & Enoksen, E. (2011). The relationship between running speed and measures of vertical jump in professional basketball players: A field-test approach. Journal of Strength and Conditioning Research, 25(11), 3088–3092. doi:10.1519/JSC.0b013e318212db0e
   PubMed Web of Science ®Google Scholar
• Siff, M. C. (2000). Biomechanical Foundations of Strength and Power Training. In Zatsiorsky, Vladimir M.(Eds.) Biomechanics in Sport (pp. 103–139). John Wiley & Sons, Ltd.https://doi.org/10.1002/9780470693797.ch6
   Google Scholar
• Sperlich, P. F., Behringer, M., & Mester, J. (2016). The effects of resistance training interventions on vertical jump performance in basketball players: A meta-analysis. The Journal of Sports Medicine and Physical Fitness, 56(7–8), 874–883. https://www.minervamedica.it/en/journals/sports-med-physical-fitness/article.php?cod=R40Y2016N07A0874
   PubMed Web of Science ®Google Scholar
• Swinton, P. A., Stephens Hemingway, B., Saunders, B., Gualano, B., & Dolan, E. (2018). A statistical framework to interpret individual response to intervention: paving the way for personalized nutrition and exercise prescription. Frontiers in Nutrition, 5(41) . https://doi.org/10.3389/fnut.2018.00041
   PubMed Web of Science ®Google Scholar
• Wasserstein, R. L., Schirm, A. L., & Lazar, N. A. (2019). Moving to a World Beyond “p < 0.05”. The American Statistician, 73(sup1), 1–19. https://doi.org/10.1080/00031305.2019.1583913
   Web of Science ®Google Scholar
• Welsh, A. H., & Knight, E. J. (2015). “magnitude-based inference”: A statistical review. Medicine and Science in Sports and Exercise, 47(4), 874–884. https://doi.org/10.1249/MSS.0000000000000451
   PubMed Web of Science ®Google Scholar
• Wilson, M. T., Ryan, A. M. F., Vallance, S. R., Dias-Dougan, A., Dugdale, J. H., Hunter, A. M., Lee Hamilton, D., & Macgregor, L. J. (2019). Tensiomyography derived parameters reflect skeletal muscle architectural adaptations following 6-weeks of lower body resistance training. Frontiers in Physiology, 10(1493) . https://www.frontiersin.org/article/10.3389/fphys.2019.01493
   Web of Science ®Google Scholar
• Yokozawa, T., Kumagawa, D., Arakawa, H., Katsumata, Y., & Akagi, R. (2019). A biomechanical analysis of the relationship between the joint powers during the standing long jump and maximum isokinetic strength of the lower limb joints. International Journal of Sport and Health Science, 17 , 13–24. https://doi.org/10.5432/ijshs.201827
   Google Scholar
• Young, W. B. (2006). Transfer of strength and power training to sports performance. International Journal of Sports Physiology and Performance, 1(2), 74–83. https://doi.org/10.1123/ijspp.1.2.74
   PubMed Web of Science ®Google Scholar
• Zweifel, M. (2017). Importance of horizontally loaded movements to sports performance. Strength and Conditioning Journal, 39(1), 21. https://doi.org/10.1519/SSC.0000000000000272
   Web of Science ®Google Scholar