文章基本信息

标题：A fully automated, transparent, reproducible, and blind protocol for sequential analyses
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作者：Brice Beffara Bret ; Amélie Beffara Bret ; Ladislas Nalborczyk 等
期刊名称：Meta-Psychology
电子版ISSN：2003-2714
出版年度：2021
期号：5
页码：1-15
DOI：10.15626/MP.2018.869
语种：English
出版社：LnuOpen
摘要：Despite many cultural, methodological, and technical improvements, one of the major obstacle to results reproducibility remains the pervasive low statistical power. In response to this problem, a lot of attention has recently been drawn to sequential analyses. This type of procedure has been shown to be more efficient (to require less observations and therefore less resources) than classical fixed-N procedures. However, these procedures are submitted to both intrapersonal and interpersonal biases during data collection and data analysis. In this tutorial, we explain how automation can be used to prevent these biases. We show how to synchronise open and free experiment software programs with the Open Science Framework and how to automate sequential data analyses in R. This tutorial is intended to researchers with beginner experience with R but no previous experience with sequential analyses is required.
关键词：Sequential analysis;Sequential testing;Sequential Bayes factor;Automation;Expectancy effects;reproducibility;Blind Analyses