How widely does the field preregister its studies, and is the corrective being adopted quickly enough to matter?
Week 6 argues that recording the hypothesis, design, primary outcome and analysis in a public, time-stamped document before data collection converts a confirmatory test from an unverifiable claim into dated evidence of the plan, and that Registered Reports extend this by having the question and design reviewed before results exist. The empirical questions are how widely preregistration is used in the field, whether it is done prospectively, and whether it has the intended effect.
Convergent meta-research puts current uptake in the low tens of a percent. Bullock and colleagues (2023), reviewing 243 studies in the top five sports-medicine journals, found 12% were preregistered (and only 1% shared analysis code), with a median of just 2 of 12 open-science practices per study. Bennett and colleagues (2026), across 2,006 sports-science articles from 19 journals published in 2024, found 10.0% preregistered. Where studies are registered, registration is frequently retrospective: Schulz and colleagues (2022) found only 20% of sports-medicine trials were prospectively registered while 58% were registered after the fact — which forfeits the protection preregistration is meant to provide.
Registered Reports — in which the introduction and method are peer-reviewed and accepted before data collection (Chambers, 2013) — were explicitly urged for the field by Caldwell and colleagues (2020), and are now offered by a growing number of sport and exercise science journals. Importantly, the mechanism has been shown to work in the field's own data: Bennett and colleagues (2026) evaluated preregistration specifically as a means of reducing the implausibly high proportion of supported hypotheses, linking the practice to more credible confirmatory testing (Weeks 1, 4).
The barriers are structural rather than technical. In a survey of 511 sport and exercise science researchers, Murphy, Mesquida and Warne (2023) found that respondents perceived open-science practices as potentially detrimental to career progression due to a lack of incentives, and viewed journals — through publication charges and a focus on novelty — as a barrier to reproducible and replicable research. Preregistration is cheap and often free, but the reward system does not yet consistently favour it.
The rationale is well established outside the field. Simmons, Nelson and Simonsohn (2011) showed that undisclosed flexibility in analysis (“researcher degrees of freedom”) can raise the false-positive rate from 5% to over 60%, and proposed minimal disclosure standards; Nosek and colleagues (2018) formalised the distinction between prediction and postdiction that time-stamping protects. Preregistration addresses exactly the flexibility that produces the inflated, non-replicable findings documented in Weeks 1, 4 and 7.
| Source | Finding | Implication |
|---|---|---|
| Bullock et al. (2023) JOSPT | 243 sport-medicine studies: 12% preregistered; 1% shared code; median 2/12 open-science practices | Preregistration and open practices are rare |
| Bennett et al. (2026) Sports Medicine | 10.0% of 2,006 sports-science articles preregistered | Low uptake confirmed at scale |
| Schulz et al. (2022) BMJ Open | 20% of trials prospectively registered; 58% retrospectively | Even registration is often after the fact |
| Bennett et al. (2026) Sports Medicine | Preregistration evaluated as a means of reducing inflated supported-hypothesis rates | The corrective works where used |
| Chambers (2013); Caldwell et al. (2020) Cortex; Sports Medicine | Registered Reports defined and urged for the field; now offered by more journals | Infrastructure exists and is spreading |
| Murphy, Mesquida & Warne (2023) Comms. in Kinesiology | Career incentives and journal norms seen as barriers to open practice (n = 511) | Low uptake is a structural, not technical, problem |
| Simmons, Nelson & Simonsohn (2011) Psychological Science (adjacent) | Flexibility raises false-positive rate from 5% to >60% | Names the problem preregistration solves |
On current uptake the concern is substantial: only about one study in ten is preregistered, most trial registration that does occur is retrospective, and code and materials are rarely shared. Given that the practices of Weeks 1, 4 and 7 (publication bias, HARKing, low power) are exactly what preregistration constrains, the field is under-using its most direct available corrective.
The trajectory, however, is positive and the mechanism is proven. Registered Reports are established and spreading, sport-specific meta-research is now measuring uptake year on year, and the field's own data show preregistration is associated with more credible confirmatory testing. The remaining barrier is the incentive structure (Week 13) rather than the availability or effectiveness of the tool, which makes the problem addressable through editorial and institutional policy.
Bennett, H., Blake, H., d'Unienville, N., et al. (2026). The uptake of preregistration, and its impact on the proportion of supported hypotheses, in sports science. Sports Medicine. Advance online publication. https://doi.org/10.1007/s40279-026-02451-2
Bullock, G. S., Ward, P., Impellizzeri, F. M., et al. (2023). Up front and open? Shrouded in secrecy? Or somewhere in between? A meta-research systematic review of open science practices in sport medicine research. Journal of Orthopaedic & Sports Physical Therapy, 53(12), 735–747. https://doi.org/10.2519/jospt.2023.12016
Caldwell, A. R., Vigotsky, A. D., Tenan, M. S., et al. (2020). Moving sport and exercise science forward: a call for the adoption of more transparent research practices. Sports Medicine, 50(3), 449–459. https://doi.org/10.1007/s40279-019-01227-1
Chambers, C. D. (2013). Registered Reports: a new publishing initiative at Cortex. Cortex, 49(3), 609–610. https://doi.org/10.1016/j.cortex.2012.12.016
Murphy, J., Mesquida, C., & Warne, J. (2023). A survey on the attitudes towards and perception of reproducibility and replicability in sports and exercise science. Communications in Kinesiology, 1(5), article 53. https://doi.org/10.51224/cik.2023.53
Nosek, B. A., Ebersole, C. R., DeHaven, A. C., & Mellor, D. T. (2018). The preregistration revolution. Proceedings of the National Academy of Sciences, 115(11), 2600–2606. https://doi.org/10.1073/pnas.1708274114
Schulz, R., Langen, G., Prill, R., Cassel, M., & Weissgerber, T. L. (2022). Reporting and transparent research practices in sports medicine and orthopaedic clinical trials: a meta-research study. BMJ Open, 12(8), e059347. https://doi.org/10.1136/bmjopen-2021-059347
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology. Psychological Science, 22(11), 1359–1366. https://doi.org/10.1177/0956797611417632