Good practices for data presentation in LWT-Food Science and Technology

Renard Catherine M. G. C.

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Good practices for data presentation in LWT-Food Science and Technology

机译：LWT-Food Science Science和Technology中数据介绍的良好实践

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This article aims to guide potential authors on appropriate analyses and clear presentation of collected data, avoiding some of the most common flaws encountered during my period as an Associate Editor for LWT-Food Science and Technology. It covers statistics, use of correlations and factorial analysis, and some miscellanous data presentation issues. Its aim is not to tell authors who want to publish in LWT-Food Science and Technology - or other highly ranked Food Science journals - how they should design their research, but to help them to produce the best possible articles, and improve usefulness of these articles to the community. Its take home message is two-fold: before you start the experiments, think about the hypothesis you want to prove (or disprove) to choose the best tools, and when you have the results, look at them, not only at the statistics.

机译：本文旨在指导潜在作者对收集到的数据进行适当的分析和清晰的表述，避免我担任LWT食品科学与技术副主编期间遇到的一些最常见的缺陷。它涵盖了统计学、相关性和因子分析的使用，以及一些杂项数据表示问题。它的目的不是告诉那些想在LWT食品科学与技术或其他高排名食品科学期刊上发表文章的作者，他们应该如何设计自己的研究，而是帮助他们写出尽可能最好的文章，并提高这些文章对社区的有用性。它传达的信息有两个方面：在开始实验之前，考虑一下你想要证明（或反驳）的假设，以选择最好的工具，当你得到结果时，看看它们，而不仅仅是统计数据。

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来源
《LWT-Food Science & Technology》 |2021年第1期|共8页
作者
Renard Catherine M. G. C.;
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作者单位

INRAE TRANSFORM F-44000 Nantes France;

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原文格式 PDF
正文语种 eng
中图分类食品工业;
关键词
Confidence; Inference testing; Data organization; ANOVA; Factorial analysis;

机译：信心推理测试;数据组织;方差分析;因子分析;

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Good practices for data presentation in LWT-Food Science and Technology

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