Resources

General Resources

• Framing the problem
  • Borg, D. N., Barnett, A. G., Caldwell, A. R., White, N. M., & Stewart, I. B. (2023). The bias for statistical significance in sport and exercise medicine. Journal of Science and Medicine in Sport, 26(3), 164-168. https://doi.org/10.1016/j.jsams.2023.03.002
  • Büttner, F., Toomey, E., McClean, S., Roe, M., & Delahunt, E. (2020). Are questionable research practices facilitating new discoveries in sport and exercise medicine? The proportion of supported hypotheses is implausibly high. British Journal of Sports Medicine, 54(22), 1365–1371. https://doi.org/10.1136/bjsports-2019-101863
  • Lohse, K., Buchanan, T., & Miller, M. (2016). Underpowered and overworked: problems with data analysis in motor learning studies. Journal of Motor Learning & Development, 4(1), 37–58. https://doi.org/10.1123/jmld.2015-0010
  • McKay, B., Bacelar, M. F., & Carter, M. J. (2023). On the reproducibility of power analyses in motor behavior research. Journal of Motor Learning and Development, 11(1), 29-44. https://doi.org/10.1123/jmld.2022-0061
  • McKay, B., Bacelar, M. F. B., Parma, J. O., Miller, M. W., & Carter, M. J (2023). The combination of reporting bias and underpowered study designs has substantially exaggerated the motor learning benefits of self-controlled practice and enhanced expectancies: a meta-analysis, International Review of Sport and Exercise Psychology https://doi.org/10.1080/1750984X.2023.2207255
  • Sainani, K.L., Borg, D.N., Caldwell, A.R., et al. (2021) Call to increase statistical collaboration in sports science, sport and exercise medicine and sports physiotherapy. British Journal of Sports Medicine, 55, 118-122. https://doi.org/10.1136/bjsports-2020-102607
  • Tiller, N.B., & Ekkekakis, P. (2023). Overcoming the “Ostrich Effect”: A Narrative Review on the Incentives and Consequences of Questionable Research Practices in Kinesiology. Kinesiology Review. https://doi.org/10.1123/kr.2022-0039
• The Society for Transparency, Openness, and Replication in Kinesiology (STORK): https://storkinesiology.org
• Peer Community in (PCI) Health & Movement Sciences: https://healthmovsci.peercommunityin.org and https://peercommunityin.org
• Sports Science Replication Centre (SSRC): https://ssreplicationcentre.com

Open Methods

• Abt, G., Boreham, C., Davison, G., Jackson, et al. (2020) Power, precision, and sample size estimation in sport and exercise science research, Journal of Sports Sciences, 38:17, 1933-1935, https://doi.org/10.1080/02640414.2020.1776002
• Caldwell, A.R., Vigotsky, A.D., Tenan, M.S. et al. Moving sport and exercise science forward: A call for the adoption of more transparent research practices. Sports Medicine, 50, 449–459 (2020). https://doi.org/10.1007/s40279-019-01227-1
• Mesquida, C., Murphy, J., Lakens, D., & Warne, J. (2023). Publication bias, statistical power and reporting practices in the Journal of Sports Sciences: potential barriers to replicability. Journal of Sports Sciences, 41(16), 1507–1517. https://doi.org/10.1080/02640414.2023.2269357
• Schweizer, G., & Furley, P. (2016). Reproducible research in sport and exercise psychology: The role of sample sizes. Psychology of Sport and Exercise, 23, 114-122. https://doi.org/10.1016/j.psychsport.2015.11.005
• Articles about Registered Reports
  • Abt, G., Boreham, C., Davison, G., Jackson, R., Wallace, E., & Williams, A. M. (2021). Registered Reports in the Journal of Sports Sciences. Journal of Sports Sciences, 39(16), 1789–1790. https://doi.org/10.1080/02640414.2021.1950974
  • Twomey, R., Yingling, V., Warne, J., Schneider, C., McCrum, C., Atkins, W., Murphy, J., Romero Medina, C., Harlley, S., & Caldwell, A. (2021). Nature of our literature. Communications in Kinesiology, 1(3), 5. https://doi.org/10.51224/cik.v1i3.43

Examples of open research practices in use

• Replication Studies
  • Hutchinson, J. C., Murphy, J., de Lucia, B., O’Neill, E., Curtis, D., Mellano, K. T., Pelton, L., & Coker, N. (2024). Effects of Preferred versus Nonpreferred Music on Bench Press Performance. Communications in Kinesiology, 1(6). https://doi.org/10.51224/cik.2024.60
• Preregistration
  • Investigating the teaching of quantitative data analysis in undergraduate sport and exercise science-related degree programmes in UK universities: https://osf.io/axz7n
  • The efficacy of a novel Apple Watch app for measuring moderate-intensity physical activity: https://osf.io/j39fa
  • Examining the functional mechanisms of Quiet Eye using virtual reality: https://osf.io/35fgp/

Open Data

• Datasets for Journal of Science and Medicine in Sport: https://www.journals.elsevier.com/journal-of-science-and-medicine-in-sport/mendeley-datasets/
• A number of institutions now have platforms for data dissemination. This is a particularly good example: Department for Health, University of Bath: https://researchportal.bath.ac.uk/en/organisations/department-for-health/datasets/
• The National ReferAll Database: An Open Dataset of Exercise Referral Schemes Across the UK: https://doi.org/10.3390/ijerph18094831 and https://osf.io/uzbw9/
• PhysioNet: https://physionet.org/

Open Outputs

• Preprint repository: https://sportrxiv.org/index.php/server/
  • Journal of Sports Sciences: https://www.tandfonline.com/journals/rjsp20/
  • Science and Medicine in Football: https://www.tandfonline.com/journals/rsmf20/
  • Communications in Kinesiology: https://storkjournals.org/index.php/cik/
  • Psychology of Sport and Exercise: https://www.sciencedirect.com/journal/psychology-of-sport-and-exercise/Journals offering Registered Reports:
  • Human Movement Science: https://www.sciencedirect.com/journal/human-movement-science/
  • Sport, Exercise, and Performance Psychology: https://www.apa.org/pubs/journals/spy/

This page is adapted and extended from: Farran, E. K., Silverstein, P., Ameen, A. A., Misheva, I., & Gilmore, C. (2020, December 15). Open Research: Examples of good practice, and resources across disciplines. https://doi.org/10.31219/osf.io/3r8hb