Department of Psychological Methods, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018 VZ, Amsterdam, The Netherlands.
Birla Institute of Technology and Science, Pilani, India.
Psychon Bull Rev. 2018 Feb;25(1):58-76. doi: 10.3758/s13423-017-1323-7.
Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP ( http://www.jasp-stats.org ), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder's BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.
贝叶斯假设检验为 p 值假设检验提供了一种有吸引力的替代方法。本系列的第一部分概述了贝叶斯假设检验的几个优点，包括量化证据的能力，以及随着数据的输入，无需了解数据收集的意图即可监测和更新证据的能力。尽管存在这些实际优势，但贝叶斯假设检验的报告仍然相对较少。贝叶斯检验广泛采用的一个重要障碍可以说是缺乏用户友好的软件，无法解决心理学家在分析几乎每个实验时遇到的常见统计问题：t 检验、方差分析、相关、回归和列联表。在本系列的第二部分，我们介绍了 JASP（http://www.jasp-stats.org），这是一个开源、跨平台、用户友好的图形软件包，允许用户对标准统计问题进行贝叶斯假设检验。JASP 的部分基础是 Morey 和 Rouder 的用于 R 的 BayesFactor 包中实现的贝叶斯分析。有了 JASP，贝叶斯假设检验的实际优势只需点击一下鼠标即可实现。
