No CrossRef data available.
Article contents
Putting replication in its place
Published online by Cambridge University Press: 27 July 2018
Abstract
Direct replication is valuable but should not be elevated over other worthwhile research practices, including conceptual replication and checking of statistical assumptions. As noted by Rotello et al. (2015), replicating studies without checking the statistical assumptions can lead to increased confidence in incorrect conclusions. Finally, successful replications should not be elevated over failed replications, given that both are informative.
- Type
- Open Peer Commentary
- Information
- Copyright
- Copyright © Cambridge University Press 2018
Footnotes
Parts of this commentary are a work of the U.S. Government and are not subject to copyright protection in the United States.
This material includes work performed by Evan Heit while serving at the National Science Foundation. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Target article
Making replication mainstream
Related commentaries (36)
A Bayesian decision-making framework for replication
A pragmatist philosophy of psychological science and its implications for replication
An argument for how (and why) to incentivise replication
Bayesian belief updating after a replication experiment
Conceptualizing and evaluating replication across domains of behavioral research
Constraints on generality statements are needed to define direct replication
Data replication matters to an underpowered study, but replicated hypothesis corroboration counts
Direct replication and clinical psychological science
Direct replications in the era of open sampling
Don't characterize replications as successes or failures
Enhancing research credibility when replication is not feasible
Holding replication studies to mainstream standards of evidence
How to make replications mainstream
If we accept that poor replication rates are mainstream
Introducing a replication-first rule for Ph.D. projects
Making prepublication independent replication mainstream
Making replication prestigious
Putting replication in its place
Replication is already mainstream: Lessons from small-N designs
Replications can cause distorted belief in scientific progress
Scientific progress is like doing a puzzle, not building a wall
Selecting target papers for replication
Strong scientific theorizing is needed to improve replicability in psychological science
The costs and benefits of replication studies
The importance of exact conceptual replications
The meaning of a claim is its reproducibility
The replicability revolution
Three strong moves to improve research and replications alike
Three ways to make replication mainstream
To make innovations such as replication mainstream, publish them in mainstream journals
Verifiability is a core principle of science
Verify original results through reanalysis before replicating
What have we learned? What can we learn?
What the replication reformation wrought
Why replication has more scientific value than original discovery
You are not your data
Author response
Improving social and behavioral science by making replication mainstream: A response to commentaries