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Best Practices for Presenting Statistical Information in a Research Article

机译:在研究文章中展示统计信息的最佳实践

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A key characteristic of scientific research is that the entire experiment (or series of experiments), including the data analyses, is reproducible. This aspect of science is increasingly emphasized. The Materials and Methods section of a scientific paper typically contains the necessary information for the research to be replicated and expanded on by other scientists. Important components are descriptions of the study design, data collection, and statistical analysis of those data, including the software used. In the Results section, statistical analyses are presented; these are usually best absorbed from figures. Model parameter estimates (including variances) and effect sizes should also be included in this section, not just results of significance tests, because they are needed for subsequent power and meta-analyses. In this article, we give key components to include in the descriptions of study design and analysis, and discuss data interpretation and presentation with examples from the horticultural sciences.
机译:科学研究的一个关键特征是整个实验(或一系列实验),包括数据分析是可重复的。科学的这一方面越来越强调。科学论文的材料和方法部分通常包含要被其他科学家复制和扩展的研究的必要信息。重要组成部分是研究设计,数据收集和这些数据的统计分析的描述,包括所使用的软件。在结果部分中,提出了统计分析;这些通常最好从数字中吸收。模型参数估计(包括差异)和效果大小也应包括在本节中,而不仅仅是显着性测试的结果,因为它们是后续电力和元分析所需的。在本文中,我们提供关键组件,包括在研究设计和分析的描述中,并与园艺科学的示例讨论数据解释和介绍。

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