Freeberg Todd M, Lucas Jeffrey R
University of Tennessee, Knoxville, TN 37996, USA.
J Comp Psychol. 2009 Nov;123(4):450-1. doi: 10.1037/a0017031.
Hurlbert (1984) laid out a rationale for why experimental designs need to consider statistical problems related to pseudoreplication of data. This paper has been a cornerstone for more proper experimental design in many fields. Nonetheless, Schank and Koehnle (2009) argue that pseudoreplication is no longer a relevant issue. We disagree with this conclusion. We list a number of distortions of the original Hurlbert paper that are found in Schank and Koehnle. In addition, we note that some of the original suggestions in Hurlbert are no longer valid because statistical techniques have inevitably evolved to provide stronger tests than were available 25 years ago.
赫伯特（1984年）阐述了实验设计为何需要考虑与数据伪重复相关的统计问题的基本原理。本文已成为许多领域更合理实验设计的基石。尽管如此，尚克和克内尔（2009年）认为伪重复不再是一个相关问题。我们不同意这一结论。我们列出了尚克和克内尔对赫伯特原始论文的一些曲解。此外，我们注意到赫伯特的一些原始建议已不再有效，因为统计技术不可避免地有所发展，能提供比25年前更有力的检验。
