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The well-built research question

How to reduce animal numbers and increase the information content of animal-based studies. A ‘well-built’ research question turns the research hypothesis into an actionable, focused, and testable plan of action.

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Fig. 1: System diagram for the ‘well-built’ research question PICOT.

References

  1. Russell, W. M. S. & Burch, R. L. The Principles of Humane Experimental Technique (Methuen, 1959).

  2. Winer, B. J., Brown, D. R. & Michels, K. M. Statistical principles in experimental design. Third edn (McGraw-Hill Inc., 1991).

  3. Fineout-Overholt, E. & Johnston, L. Worldviews Evid. Based Nurs. 2, 157–160 (2005).

    Article  PubMed  Google Scholar 

  4. Flemming, K. Evid. Based Nurs. 1, 36–37 (1998).

    Article  Google Scholar 

  5. Richardson, W. S. et al. ACP J. Club 123, A12–A13 (1995).

    Article  CAS  PubMed  Google Scholar 

  6. Ford, L. G. & Melnyk, B. M. Worldviews Evid. Based Nurs. 16, 422–423 (2019).

    Article  Google Scholar 

  7. Green, S. et al. Hist. Philos. Life Sci. 40, 65 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Nunamaker, E. A. & Reynolds, P. S. PLoS One 17, e0274738 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Johnson, P. D. & Besselsen, D. G. ILAR J. 43, 202–206 (2002).

    Article  CAS  PubMed  Google Scholar 

  10. Ellis, R. J. eNeuro. 9, eneuro.0017-0022.2022 (2022).

  11. John, L. K. et al. Psychol. Sci. 23, 524–532 (2012).

    Article  PubMed  Google Scholar 

  12. Kelley, K. & Preacher, K. J. Psychol. Methods 17, 137–152 (2012).

    Article  PubMed  Google Scholar 

  13. Smith, A. J. et al. Lab. Anim. 52, 135–141 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  14. Bolles, R. C. Psychol. Rep. 11, 639–645 (1962).

    Article  Google Scholar 

  15. Ormandy, E. H. et al. Animals 9, 622 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  16. Ritskes-Hoitinga, M. & Wever, K. BMJ 360, j4935 (2018).

    Article  PubMed  Google Scholar 

  17. Richmond, A. & Su, Y. Dis. Model Mech. 1, 78–82 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  18. Verbeke, G. & Molenberghs, G. Linear Mixed Models for Longitudinal Data (Springer, 2000).

  19. Jones, B. L. & Nagin, D. S. Sociological Methods & Research 35, 542–571 (2007).

    Article  Google Scholar 

  20. Schober, P. & Vetter, T. R. Anesth. Analg. 127, 792–798 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

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Correspondence to Penny Reynolds.

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Reynolds, P. The well-built research question. Lab Anim 52, 221–223 (2023). https://doi.org/10.1038/s41684-023-01257-3

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