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  Ten easy steps to conducting transparent, reproducible meta‐analyses for infant researchers

Gasparini, L., Tsuji, S., & Bergmann, C. (2022). Ten easy steps to conducting transparent, reproducible meta‐analyses for infant researchers. Infancy, 27(4), 736-764. doi:10.1111/infa.12470.

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Gasparini_Tsuji_Bergmann_2022_ten easy steps to....pdf (Publisher version), 2MB
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2022
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© 2022 The Authors. Infancy published by Wiley Periodicals LLC on behalf of International Congress of Infant Studies. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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 Creators:
Gasparini, Loretta1, Author
Tsuji, Sho2, Author
Bergmann, Christina3, Author           
Affiliations:
1The University of Melbourne, Royal Children's Hospital,, Parkville, Australia, ou_persistent22              
2The University of Tokyo, Tokyo, Japan, ou_persistent22              
3Language Development Department, MPI for Psycholinguistics, Max Planck Society, ou_2340691              

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 Abstract: Meta-analyses provide researchers with an overview of the body of evidence in a topic, with quantified estimates of effect sizes and the role of moderators, and weighting studies according to their precision. We provide a guide for conducting a transparent and reproducible meta-analysis in the field of developmental psychology within the framework of the MetaLab platform, in 10 steps: (1) Choose a topic for your meta-analysis, (2) Formulate your research question and specify inclusion criteria, (3) Preregister and document all stages of your meta-analysis, (4) Conduct the literature search, (5) Collect and screen records, (6) Extract data from eligible studies, (7) Read the data into analysis software and compute effect sizes, (8) Visualize your data, (9) Create meta-analytic models to assess the strength of the effect and investigate possible moderators, (10) Write up and promote your meta-analysis. Meta-analyses can inform future studies, through power calculations, by identifying robust methods and exposing research gaps. By adding a new meta-analysis to MetaLab, datasets across multiple topics of developmental psychology can be synthesized, and the dataset can be maintained as a living, community-augmented meta-analysis to which researchers add new data, allowing for a cumulative approach to evidence synthesis.

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Language(s): eng - English
 Dates: 2022-04-282022
 Publication Status: Published in print
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1111/infa.12470
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Title: Infancy
Source Genre: Journal
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Publ. Info: Malden, Mass : Wiley
Pages: - Volume / Issue: 27 (4) Sequence Number: - Start / End Page: 736 - 764 Identifier: ISSN: 1532-7078
CoNE: https://pure.mpg.de/cone/journals/resource/957956311003