犯罪学中的研究异常:有多严重? 随着时间的推移,它有多广泛? 谁负责这些?
Walter R Schumm1, Duane W Crawford1, Lorenza Lockett2
1Department of Applied Human Sciences, Kansas State University, Manhattan, KS, USA.
Accountability in research
|July 27, 2023
概括
这项研究揭示了许多犯罪学文章含有显著的异常,超过47%显示主要问题. 统计方法和对照组可以帮助在更大的样本中发现这些可疑的研究实践.
科学领域:
- 社会科学研究方法 社会科学研究方法
- 犯罪学 犯罪学
- 研究诚信研究诚信
背景情况:
- 现有的检测有疑问的研究实践 (QRP) 的方法对于大型社会科学样本通常是无效的.
- 在科学文献中需要强大的异常检测,这对于保持研究完整性至关重要.
研究的目的:
- 介绍和说明在更大的样本大小中检测异常的方法.
- 分析犯罪学研究中异常的普遍性,特别关注由埃里克·斯图尔特博士撰写或共同撰写的文章.
主要方法:
- 分析了1998年以来发表的78篇犯罪学期刊文章,重点是59篇涉及埃里克·斯图尔特博士的文章和19篇控制文章.
- 应用统计方法来识别和量化研究结果中的异常.
- 与不同作者角色和对照组的文章之间的异常率的比较.
主要成果:
- 斯图尔特博士分析的文章中有很大一部分 (47.5%) 包含两个或两个以上的重大异常,而对照组没有任何异常 (p < .001).
- 发现斯图尔特博士在作者的角色和检测到的异常数量 (p < .001) 之间存在正相关性.
- 共同作者的角色与异常总数的关系最小.
结论:
- 有问题的研究结果可以通过多层次的科学审查而未被发现.
- 实施控制组和统计异常检测方法可以提高科学文献中QRP的识别.
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