4 Pre-analysis Planning

5 sub-clusters · 42 references

Pre-analysis planning entails laying out a complete methodology and analysis before a study has been undertaken. This facilitates transparency and removes several potential QRPs. When teaching, students should attain knowledge regarding what a pre-registration entails, why it is important to remove potential QRPs and how to address deviations from preregistered plans. There are 5 sub-clusters which aim to further parse the learning and teaching process:

Preregistration

When a researcher preregisters their work, they typically upload a detailed project plan before the start of data collection. This plan includes (but is not limited to) hypotheses, data collection procedures, measures and manipulated variables, and the analysis plan.

Purpose of pre-analysis planning

Distinguishing exploratory and confirmatory analyses. One proposed benefit to this is transparency. FORRT does not propose one has more value over the other.

Registered reports

A publishing format consisting of a preregistration with a specific journal that undergoes peer review. Specifically, the journal reviews the introduction and methodology and upon in-principle acceptance (IPA, in stage 1), it agrees to publish the study assuming the preregistration is followed and deviations are reported (stage 2 acceptance).

Study Design

Design elements should be before data collection so that confirmatory claims are credible and deviations are interpretable. This includes choosing appropriate sample sizes, conditions, and measures prior to registration, and planning how to handle deviations

Understanding the types of preregistration and writing one.

Practical materials and resources to move beyond the theory of preregistration, into conducting a preregistered study.

  • Call, M., DeHaven, A. C., Pfeiffer, N., Mellor, D. T., & Lowrey, O. (2023, October 19). Templates of OSF registration forms. OSF. https://osf.io/zab38/
  • Centre for Open Science. (n.d.). Registered Reports: Peer review before results are known to align scientific values and practices. Www.cos.io. https://www.cos.io/initiatives/registered-reports
  • Lakens, D. (2023). When and How to Deviate from a Preregistration. https://doi.org/10.31234/osf.io/ha29k
  • Mertens, G., & Krypotos, A.-M. (2019). Preregistration of analyses of preexisting data. https://doi.org/10.31234/osf.io/ph4q7
  • 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
  • Stewart, S. L. K., Rinke, E. M., McGarrigle, R., Lynott, D., Lunny, C., Lautarescu, A., Galizzi, M. M., Farran, E. K., & Crook, Z. (2020). Pre-registration and Registered Reports: a Primer from UKRN. https://doi.org/10.31219/osf.io/8v2n7
  • van den Akker, O. R., Peters, G.-J. Y., Bakker, C. J., Carlsson, R., Coles, N. A., Corker, K. S., Feldman, G., Moreau, D., Nordström, T., Pickering, J. S., Riegelman, A., Topor, M. K., van Veggel, N., Yeung, S. K., Call, M., Mellor, D. T., & Pfeiffer, N. (2023). Increasing the transparency of systematic reviews: presenting a generalized registration form. Systematic Reviews, 12(1). https://doi.org/10.1186/s13643-023-02281-7
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