从证据更新中得出复制贝叶斯因子。

Psychological Methods Department, University of Amsterdam, Postbus 15906, 1001, NK, Amsterdam, The Netherlands.

Machine Learning Group, Centrum Wiskunde & Informatica, Amsterdam, The Netherlands.

Behav Res Methods. 2019 Dec;51(6):2498-2508. doi: 10.3758/s13428-018-1092-x.

We describe a general method that allows experimenters to quantify the evidence from the data of a direct replication attempt given data already acquired from an original study. These so-called replication Bayes factors are a reconceptualization of the ones introduced by Verhagen and Wagenmakers (Journal of Experimental Psychology: General, 143(4), 1457-1475 2014) for the common t test. This reconceptualization is computationally simpler and generalizes easily to most common experimental designs for which Bayes factors are available.

我们描述了一种通用方法，该方法允许实验者在已经从原始研究中获得数据的情况下，根据直接复制尝试的数据来量化证据。这些所谓的复制贝叶斯因子是对 Verhagen 和 Wagenmakers（2014 年《实验心理学杂志：一般》，第 143（4）卷，1457-1475 页）为常见 t 检验引入的因子的重新概念化。这种重新概念化在计算上更简单，并且易于推广到大多数可提供贝叶斯因子的常见实验设计。