Abstract
The estimation approach to inference emphasizes reporting effect sizes with expressions of uncertainty (interval estimates). In this perspective we explain the estimation approach and describe how it can help nudge neuroscientists toward a more productive research cycle by fostering better planning, more thoughtful interpretation, and more balanced evaluation of evidence.
Footnotes
The authors declare a competing financial interest that they have published a textbook on the estimation approach.
This work was partially supported by NIGMS Grant 1R25GM132784-01. We thank Sander Greenland, Paul S. Katz, Anthony Krafnick, Daniel Lakens, Blakely McShane, Gjalt-Jorn Peters, Rebecca Pliske, and Eric-Jan Wagenmakers for helpful and incisive comments, and Daniel Quintana for feedback on our discussion of oxytocin and human social behavior.
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