通过使假设测试机器可读来提高透明度、可证伪性和严谨性

IF 15.6 1区 心理学 Q1 PSYCHOLOGY Advances in Methods and Practices in Psychological Science Pub Date : 2021-04-01 DOI:10.1177/2515245920970949
D. Lakens, L. DeBruine
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引用次数: 14

摘要

使科学信息具有机器可读性极大地促进了科学信息的重用。许多科学文章的目标都是检验一个假设,因此让统计预测的检验更容易找到和获取可能是非常有益的。我们提出了一种可以用于使假设检验具有机器可读性的方法。我们认为,以这样一种方式指定假设检验有两个好处,即计算机可以评估统计预测是否得到证实。首先,假设检验变得更加透明、可证伪和严格。其次,如果科学文章中与假设检验相关的信息很容易找到并可重复使用,例如进行荟萃分析、进行同行评审和审查元科学研究问题,科学家就会受益。我们研究了机器可读假设测试应该是什么样子,并使用完全可操作的原型R包scienceverse在现实生活中展示了机器可读假说测试的可行性。
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Improving Transparency, Falsifiability, and Rigor by Making Hypothesis Tests Machine-Readable
Making scientific information machine-readable greatly facilitates its reuse. Many scientific articles have the goal to test a hypothesis, so making the tests of statistical predictions easier to find and access could be very beneficial. We propose an approach that can be used to make hypothesis tests machine-readable. We believe there are two benefits to specifying a hypothesis test in such a way that a computer can evaluate whether the statistical prediction is corroborated or not. First, hypothesis tests become more transparent, falsifiable, and rigorous. Second, scientists benefit if information related to hypothesis tests in scientific articles is easily findable and reusable, for example, to perform meta-analyses, conduct peer review, and examine metascientific research questions. We examine what a machine-readable hypothesis test should look like and demonstrate the feasibility of machine-readable hypothesis tests in a real-life example using the fully operational prototype R package scienceverse.
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来源期刊
CiteScore
21.20
自引率
0.70%
发文量
16
期刊介绍: In 2021, Advances in Methods and Practices in Psychological Science will undergo a transition to become an open access journal. This journal focuses on publishing innovative developments in research methods, practices, and conduct within the field of psychological science. It embraces a wide range of areas and topics and encourages the integration of methodological and analytical questions. The aim of AMPPS is to bring the latest methodological advances to researchers from various disciplines, even those who are not methodological experts. Therefore, the journal seeks submissions that are accessible to readers with different research interests and that represent the diverse research trends within the field of psychological science. The types of content that AMPPS welcomes include articles that communicate advancements in methods, practices, and metascience, as well as empirical scientific best practices. Additionally, tutorials, commentaries, and simulation studies on new techniques and research tools are encouraged. The journal also aims to publish papers that bring advances from specialized subfields to a broader audience. Lastly, AMPPS accepts Registered Replication Reports, which focus on replicating important findings from previously published studies. Overall, the transition of Advances in Methods and Practices in Psychological Science to an open access journal aims to increase accessibility and promote the dissemination of new developments in research methods and practices within the field of psychological science.
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