Edge Rewrite
// HTMLRewriter · presentation

This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

Jump to content

Megastudy

From Wikipedia, the free encyclopedia

A megastudy or mega-study is a research study in which a large number of different treatments or interventions are tested at the same time, on the same sample or similar samples, using a common outcome measure, and using the same experimental protocol.[1][2][3]

Megastudy examples

[edit]
  • Exercise encouragement[1]
  • Vaccination nudges[4]
  • Strengthening of democratic attitudes[5]
  • Interventions against climate change[3]

Many-lab studies

[edit]

The megastudy technique can be combined with the many-labs approach, so that teams of researchers from across the planet conduct the same experiment locally.[3][6]

Megastudy criticisms

[edit]
  • Statistical power: While the overall megastudy sample size may be large, the sample size per intervention may be relatively small, leading to underpowered designs with wide confidence intervals. As a result, while interventions may be comparable, their relative ranking by outcome measure may be noisy. Increased sample size can help address this issue.[7]
  • Lack of theory: The megastudy technique may be considered a form of "fishing expedition" for what interventions have strongest effect on the outcome measure, without much theory building.[7]

References

[edit]
  1. 1 2 Milkman, Katherine L.; et al. (2021). "Megastudies improve the impact of applied behavioural science". Nature. 600 (7889): 478–483. Bibcode:2021Natur.600..478M. doi:10.1038/s41586-021-04128-4. PMC 8822539. PMID 34880497.
  2. Duckworth, Angela L.; Milkman, Katherine L. (2022). "A guide to megastudies". PNAS Nexus (5) pgac214. doi:10.1093/pnasnexus/pgac214. PMC 9802435. PMID 36712333.
  3. 1 2 3 Doell, Kimberly C. (2023). "Megastudies to test the efficacy of behavioural interventions". Nature Reviews Psychology. 2 (5): 263. doi:10.1038/s44159-023-00174-z.
  4. Milkman, Katherine L.; et al. (2022). "A 680,000-person megastudy of nudges to encourage vaccination in pharmacies". Proceedings of the National Academy of Sciences. 119 (6) e2115126119. Bibcode:2022PNAS..11915126M. doi:10.1073/pnas.2115126119. PMC 8833156. PMID 35105809.
  5. Voelkel, Jan G., et al. "Megastudy identifying successful interventions to strengthen Americans’ democratic attitudes." Northwestern University: Evanston, IL, USA (2022). https://www.ipr.northwestern.edu/documents/working-papers/2022/wp-22-38.pdf
  6. Pavlov, Yuri G.; Adamian, Nika; Appelhoff, Stefan; Arvaneh, Mahnaz; Benwell, Christopher S. Y.; Beste, Christian; Bland, Amy R.; Bradford, Daniel E.; Bublatzky, Florian; Busch, Niko A.; Clayson, Peter E.; Cruse, Damian; Czeszumski, Artur; Dreber, Anna; Dumas, Guillaume (2021-11-01). "#EEGManyLabs: Investigating the replicability of influential EEG experiments". Cortex. 144: 213–229. doi:10.1016/j.cortex.2021.03.013. hdl:1885/295623. ISSN 0010-9452. PMID 33965167.
  7. 1 2 Collins J (2022-05-27). "Megastudy scepticism". jasoncollins.blog. Retrieved 2023-12-13.