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This is the workflow for running a **meta-analysis**. Be sure to follow the extra steps in the [Research Milestones Sheet][1] to pre-register your study prior to data collection. Follow these steps, using the existing components for organization: - Fork the research template into a new project. - Name your meta-analysis. - Add your co-authors on this page (in the order that they will likely appear on the paper). - We want all our data to be stored in the EU. In order to do so, go to the arrow next to your profile name in the upper right corner. Then go to "Settings" there. When you are in "Settings" go to "Account Settings". Put your "Default Storage Location" to "Frankfurt, Germany". - Fill in the name of the meta-analysis, the order of authors, and the link to your new OSF project page in the Research Milestones Sheet (RMS). - Decide whether you will make the OSF page public at this time (the default initially is no, but in certain cases, it can be yes). - State the question(s) of your meta-analysis clearly and concisley and post them on the OSF. (Link to page in RMS). Questions may be framed with the [PICO(S)][2] framework or similar where useful. - State the theoretical framework of your meta-analysis, providing a precise description of the phenomenon, condition, or domain you intend to study. Provide also a description of how you intend to measure it. - State the databases in which you will conduct the search (e.g., PubMed) Provides the search dates and elaborate a search strategy (See in materials the templates for this purpose). - Define your inclusion and exclusion criteria to determine which article will fit your meta-analysis and which will not. - Complete your proposed methods and include all materials needed to run your meta-analysis. Some pre-made templates made by Moreau & Gamble (2020) are already provided in the material component. - Provide a description of the analyses you intend to use to synthesise data and write your syntax (SPSS, R, or other software program). - State any subgroup analyses you intend to use in your meta-analysis to investigate any source of heterogeneity. If additional subgroups analyses were needed disclose it in the protocols deviations template (see materials). - For Meta-analyses just like confirmatory Studies, you can choose one of two options: you can choose to independently pre-register your meta-analysis or you can submit your meta-analysis as a Registered Report. If you decide to submit the study as a Registered Report, you can choose one of the [journals][3] that accept Registered Reports or you can submit the paper to [PCI Registered Reports][4]. In the case of the Registered Report route, pre-registration can only be completed after Stage 1 acceptance with the journal. - **Pre-register your meta-analysis. By default, keep private unless otherwise decided (link to page in RMS).** - Before running the meta-analysis, double-check pre-registration. If you made a mistake before data collection, fork project and explain mistake (if so, link to fork in RMS. Pre-register meta-analysis again). - Post analytic code written after data collection (link to page in RMS). - Run your manuscript through a Plagiarism Checker (e.g., https://plagiarismcheckerx.com/). - Post your completed RMS to the OSF page. - Post paper to a pre-print server after submitting paper to a journal (preferably PsyArxiv, so you can directly link to this project page). - For all files posted in your OSF page, consider using “add ons” (like GitHub, Google Drive, or Dropbox) to reduce the number of times you down- and upload and to do direct version control within that environment (see, for instance, this blog post on add ons). [1]: https://docs.google.com/spreadsheets/d/1F6fWhM7rUwz_fsJeBcjTUxUBA5s_EzNYZ2_I1pYxq5I/edit?usp=sharing [2]: https://canberra.libguides.com/c.php?g=599346&p=4149722 [3]: https://www.google.com/url?q=https://osf.io/rr/&sa=D&source=docs&ust=1637845385174000&usg=AOvVaw0D7WgKEGN-5SWqAi5wBM9p [4]: https://rr.peercommunityin.org/help/guide_for_authors#h_649645832041613305689967
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