Nine Ways to Detect Possible Scientific Misconduct in Research with Small (N < 200) Samples

W. Schumm, D. Crawford, Lorenza Lockett, Abdullah AlRashed, Asma bin Ateeq
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引用次数: 3

Abstract

Some scientists have fabricated their data, yet have published their fake results in peer-reviewed journals. How can we detect patterns typical of fabricated research? Nine relatively less complex ways for detecting potentially fabricated data in small samples (N < 200), are presented, using data from articles published since 1999 as illustrations. Even with smaller samples, there are several ways in which scholars, as well as their undergraduate and graduate students, can detect possible fabrication of data as well as other questionable research practices (QRPs). However, with larger samples, other techniques may be needed.
在小样本(N < 200)研究中检测可能的科学不端行为的九种方法
一些科学家伪造了他们的数据,却在同行评议的期刊上发表了他们的假结果。我们如何发现捏造研究的典型模式?本文采用1999年以来发表的文章中的数据为例,提出了九种相对不太复杂的方法来检测小样本(N < 200)中潜在的伪造数据。即使使用较小的样本,学者以及他们的本科生和研究生也可以通过几种方法检测可能的数据捏造以及其他可疑的研究实践(qrp)。然而,对于较大的样本,可能需要其他技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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