A manifesto for reproducible science¶
Munafò, Nosek, Bishop, Button, Chambers, Sert, P. d., Simonsohn, et al. (2017). A manifesto for reproducible science.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Reproducibility & Replicability
- Before launching, the Chief Risk Officer requests a more rigorous verification, specifically raising concerns about: (a) Whether the finding would replicate in a separate dataset and time window, (b) Whether the finding reflects causation or selection — customers who choose to use certain features may differ systematically from those who do not, and © Whether a proposed marketing intervention would produce the same effect as the observed passive association
This sourceIdentifies methods, reporting, reproducibility, evaluation, and incentives as the loci of reform; frames replication infrastructure as a verification system whose specifications are the methods and protocols of the original studies.
- Before launching, the Chief Risk Officer requests a more rigorous verification, specifically raising concerns about: (a) Whether the finding would replicate in a separate dataset and time window, (b) Whether the finding reflects causation or selection — customers who choose to use certain features may differ systematically from those who do not, and © Whether a proposed marketing intervention would produce the same effect as the observed passive association
- Verification
- Each of these recognitions is structurally cheap because the underlying schema is the same — a point Munafò et al. (2017) make explicit in framing the replication crisis as a verification-infrastructure problem analogous to software regression testing.
This sourceIdentifies methods, reporting, reproducibility, evaluation, and incentives as the loci of reform; frames replication infrastructure as a verification system whose specifications are the methods and protocols of the original studies.
- Each of these recognitions is structurally cheap because the underlying schema is the same — a point Munafò et al. (2017) make explicit in framing the replication crisis as a verification-infrastructure problem analogous to software regression testing.
Verification¶
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