How clearly does the field frame its questions — descriptive versus inferential, and confirmatory versus exploratory — and pre-specify them before collecting data?
Week 3 argues that a study should fix who is studied, what is compared, which outcome counts, and what kind of question is being asked — descriptive or inferential, confirmatory or exploratory — and that this should be settled before data are collected. The empirical questions are whether the field pre-specifies its questions, labels exploratory work honestly, and keeps descriptive findings distinct from causal claims.
Pre-specification is the exception rather than the rule. In a meta-research study of 163 sports-medicine and orthopaedic clinical trials, Schulz and colleagues (2022) found only 20% were prospectively registered (58% were registered retrospectively) and only 32% justified their expected effect size — indicating that the question and its parameters are frequently not committed to in advance. Twomey and colleagues (2021), examining 300 kinesiology articles, found that although only about 64% stated a hypothesis, roughly 82% of studies without a stated hypothesis nonetheless used significance testing — treating exploratory analyses with the machinery of confirmatory ones.
Ditroilo, Mesquida, Abt and Lakens (2025) argue that a substantial proportion of sport and exercise science is exploratory in nature, yet exploratory work is frequently not reported as exploratory. The problem is not exploration itself — which is essential for generating hypotheses — but presenting it with the confidence of a pre-planned confirmatory test, which invalidates the error control the statistics assume (Weeks 4, 6, 8). The paper provides recommendations for conducting and transparently reporting exploratory studies.
The descriptive–inferential boundary is frequently crossed in language if not in design. In a systematic evaluation of observational health research, Haber and colleagues (2022) found that action recommendations implied causality in about 44.5% of articles — often more strongly than the results themselves warranted — and that even ostensibly non-causal words such as “associate” were judged by most reviewers to carry some causal implication. Although this evaluation spans health research broadly, the same descriptive-to-causal slippage is a recognised issue in sport and exercise science (see Week 11).
| Source | Finding | Implication |
|---|---|---|
| Schulz, Langen, Prill, Cassel & Weissgerber (2022) BMJ Open | 163 sports-med/ortho trials: 20% prospectively registered; 32% justified effect size | Questions and parameters seldom pre-specified |
| Twomey et al. (2021) Comms. in Kinesiology | ~64% stated a hypothesis; ~82% of those without one still used significance testing | Exploratory analyses treated as confirmatory |
| Ditroilo, Mesquida, Abt & Lakens (2025) J. Sports Sciences | Much sport-science research is exploratory but not reported as such | Mislabelling inflates apparent confidence |
| Haber et al. (2022) Am. J. Epidemiology (adjacent) | ~44.5% of observational studies made causal action recommendations | Descriptive findings framed as inferential/causal |
| Caldwell et al. (2020) Sports Medicine | Preregistration recommended to separate confirmatory from exploratory work | A mechanism exists but is under-used |
| Chalmers & Glasziou (2009) The Lancet | ~85% of research investment wasted, including via poor questions | Unclear questions are a major source of waste |
Three patterns converge: questions are seldom pre-specified (low prospective registration), exploratory work is often not labelled as such, and descriptive findings are frequently expressed in causal terms. Each undermines the reader's ability to know what kind of claim is being made and how much confidence it warrants, and each amplifies the statistical problems addressed in later weeks.
The concern is tempered by direction of travel. Preregistration and Registered Reports are being adopted (if slowly), and the field now has explicit, sport-specific guidance for conducting and reporting exploratory research (Ditroilo et al., 2025). The issue is largely one of practice and reporting norms rather than missing knowledge, which makes it correctable through editorial standards and individual discipline.
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
Chalmers, I., & Glasziou, P. (2009). Avoidable waste in the production and reporting of research evidence. The Lancet, 374(9683), 86–89. https://doi.org/10.1016/S0140-6736(09)60329-9
Ditroilo, M., Mesquida, C., Abt, G., & Lakens, D. (2025). Exploratory research in sport and exercise science: perceptions, challenges, and recommendations. Journal of Sports Sciences, 43(12), 1108–1120. https://doi.org/10.1080/02640414.2025.2486871
Haber, N. A., Wieten, S. E., Rohrer, J. M., et al. (2022). Causal and associational language in observational health research: a systematic evaluation. American Journal of Epidemiology, 191(12), 2084–2097. https://doi.org/10.1093/aje/kwac137
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
Twomey, R., Harlley, S., Romero Medina, C., et al. (2021). The nature of our literature: a registered report on the positive result rate and reporting practices in kinesiology. Communications in Kinesiology, 1(3). https://doi.org/10.51224/cik.v1i3.43
Wagenmakers, E.-J., Wetzels, R., Borsboom, D., van der Maas, H. L. J., & Kievit, R. A. (2012). An agenda for purely confirmatory research. Perspectives on Psychological Science, 7(6), 632–638. https://doi.org/10.1177/1745691612463078