Cross-Validation: A Method Every Psychologist Should Know
Cross-Validation: A Method Every Psychologist Should Know
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DOI：
10.1177/2515245919898466
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发表时间：
2020-06-01
影响因子：
13.6
通讯作者：
Weeda, Wouter
中科院分区：
文献类型：
--
作者：
de Rooij, Mark;Weeda, Wouter
交叉验证是每个心理学家都应该知道的统计程序。大多数人可能熟悉全球的程序，但没有使用它来分析自己的数据。我们介绍了交叉验证的目的，在一般意义上的模型选择，以及R包，我们已经开发了这种分析，我们提出的例子说明了使用这个包的类型的研究问题，经常遇到的社会科学。交叉验证可以是零假设检验的一种易于使用的替代方法，它的好处是不会做出太多的假设。
Cross-validation is a statistical procedure that every psychologist should know. Most are possibly familiar with the procedure in a global way but have not used it for the analysis of their own data. We introduce cross-validation for the purpose of model selection in a general sense, as well as an R package we have developed for this kind of analysis, and we present examples illustrating the use of this package for types of research problems that are often encountered in the social sciences. Cross-validation can be an easy-to-use alternative to null-hypothesis testing, and it has the benefit that it does not make as many assumptions.