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[Collabrative guide link][1] This Power Analyses Collaborative Guide aims to provide students and early-career researchers with hands-on, step-by-step instructions for conducting power analysis for common statistical tests used in psychology, social sciences and behavioral sciences. Many of the methods and procedures described in this Guide are based on G*Power, R or R-based Shiny Apps developed by the science community. We were motivated to focus on R as we aim to maximize the reproducibility of our research outcomes and encourage the most reproducible study planning and data analysis workflow, though we also document other methods whenever possible for the reference of our readers. [1]: https://mgto.org/poweranalysisguide
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