Note
>> The submission portal will be made available in fall 2025
Replication Research is a publication platform for replications and reproductions from various disciplines. Articles need to disclose what original study and hypothesis/claim they replicated or reproduced. For an up-to-date overview of the disciplines from which we accept submissions, please see the editorial board. Generally, we can provide adequate quality assurance and peer-review for cognitive, behavioral, and social science studies (psychology, economics, sociology, education sciences, political sciences, management, medicine, life sciences).
Please note that the entire review process is open and reviews will be permanently linked with submitted manuscripts via their DOIs and Pubpeer.com regardless whether the article is accepted or rejected. This is so that quality assurance is transparent, and so that work provided by reviewers for Replication Research is credited and not discarded.
Pre-Submission checks
Authors need to conduct automatized checks before submission. These include checks of reported test statistics and p-values via statcheck.io, checks for non-cited replication studies via FReD Annotator, and checks for cited retracted articles via Papercheck (Scienceverse).
Pre-Prints
Before submission, articles must be posted to a pre-print server that assigns the article a DOI (e.g., arXiv, OSF preprints, Zenodo).
Author Contributions
Author contributions must be reported using the Contributor Role Taxonomy (CRediT).
Preregistration
Studies must be preregistered. Exceptions need to be justified and clearly communicated as exploratory studies. The link to the preregistration must be included in the manuscript and accessible during peer review. Note that secondary data analyses can be preregistered, too. The authors must disclose whether the analysis plan was included in the preregistration and whether the analysis script was preregistered. All deviations from the preregistration must be discussed openly with respect to (1) a description of the deviation, (2) a justification for it, and (3) a note on how the deviation does or might affect the results.
Open Data, Materials, and Code
Data, materials, and code must be posted to a trusted repository (e.g., osf.io, researchbox.org, zenodo.org). Links to the repository must be included in the manuscript. Upon acceptance, the authors must create a frozen version of the repository and update all links (e.g., via OSF Registrations). Exceptions to this rule must be identified and justified at article submission (e.g., data privacy, ethical reasons). In these cases, authors must add a justification in their report (Closed Data Statement).
Transparency Statement
Authors must declare all potential conflicts of interest, include the 21 word solution or a derivative thereof, and explain if and how they are connected to the authors of the original work. Authors must declare use of AI (e.g., “The introduction has been written by ChatGTP 4.0”). Finally, for empirical submissions, authors must include a file-drawer statement in which they declare that they have reported all studies that they carried out on this topic.
Reproducibility
Results need to be push-button-replicable. That means, the authors need to provide simple instructions on how to reproduce all results reported in the manuscript. To facilitate reproducibility checks, we encourage authors to use free open source software. A link to the instructions needs to be included in the manuscript.
PubPeer commenting
Regardless of the decision (accept, revise, reject), reviews and responses will be posted to PubPeer (pubpeer.com) after each review stage. They will be prominently labelled as Peer-Review Reports to avoid overloading institutional review boards.
Collaborative Copy-Editing
Replication Research has no author processing charges. To be able to maintain the journal, authors are expected to engage in copy-editing. Consequently, this phase will take as long as a peer-review round.
Articles submitted to Replication Research need to investigate a research question that has been previously investigated in a published study or discuss replication methods that are relevant for at least two different research areas. Empirical reports can be computational reproductions using the same data and code, robustness checks using the same data but different procedures, close replications using new data and the same method, or conceptual replications using new data and a different method. Replication closeness needs to be described in detail.
Badges
For articles meeting the requirements listed in the Author Guidelines, we assign the following badges (images provided by OSF):
Replication studies test a previously published claim or hypothesis using different data than the original study. They can be internal (i.e., by the same group of researchers), close, or conceptual (for a typology see Hüffmeier et al., 2016). Authors can use their own format or a standardized template provided by Replication Research. This Standardized Replication Template (StaRT) is available online at https://osf.io/3jgxd.
Upon acceptance, we expect authors to enter their replication study in to the FORRT Replication Database (if it is not included yet). StaRT reports can be imported automatically and do not require author assistance.
For reproductions (i.e., studies where no new data is collected), we recommend the use of the Institute4Replication’s template available via this OSF Project. We do not accept reproductions with overlapping authorship. Reproductions should expand the original analyses in some way (e.g., generalizability or robustness checks). Simply rerunning code is not sufficient.
There are many paths from raw data to results. Approaches that aim to wander most or all of them and compare how robust a finding is to analytic decisions are called multiverse analyses, approaches that involve many people choose their preferred path of data analysis independently and compare them are called Many Analyst Studies. Both contain information about the robustness or generalizability and are thus an integral part of repetitive research.
For multi-study articles, a mix of replications and reproductions is possible. If possible, authors should conduct a mini meta-analysis. Authors need to disclose for each study whether it is a replication or reproduction. A mix of original studies and replication is not possible.
Theoretical contributions to methods of all types of replication reports can be submitted if they are relevant for multiple research areas.
Replication Research accepts registered reports for studies where new data is collected. More information on registered repots is available in the guide to registered reports.
All articles and corresponding materials are published under a CC BY 4.0 license. For special cases involving ethical or legal restrictions, there is the option to provide access to the data only to the journal or to use a CC BY-NC-ND 4.0 license.
These guidelines are shared under a CC 4.0 by Attribution License and have been created by Lukas Röseler (Writing - first draft). They are loosely based on the submission guidelines from Meta Psychology and Free Neuropathology.
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.
>> The submission portal will be made available in fall 2025
Legal Disclosure | Privacy Statement | Hosted by University and State Library of Münster
ISSN: 3052-5977