分析(心理)语言数据的一些正确方法

IF 3 1区 文学 0 LANGUAGE & LINGUISTICS
S. Vasishth
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引用次数: 4

摘要

关于统计方法的滥用和误用,包括p值、统计显著性等,已经写了很多文章。我使用一个运行的示例数据分析来介绍一些统计方面的最佳实践。我主要集中在频率论和贝叶斯线性混合模型上,说明了一些可辩护的方法,其中统计推断-特别是使用贝叶斯因素与估计或不确定性量化的假设检验-可以进行。关键是不要夸大证据,也不要对统计数据期望过高。在此过程中,我展示了一些强大的想法,包括在运行实验之前使用模拟来理解实验的设计属性,在进行形式分析之前使用数据可视化,以及从拟合模型中模拟数据以了解模型的行为。预计《语言学年度评论》第9卷的最终在线出版日期为2023年1月。修订后的估计数请参阅http://www.annualreviews.org/page/journal/pubdates。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Some Right Ways to Analyze (Psycho)Linguistic Data
Much has been written on the abuse and misuse of statistical methods, including p values, statistical significance, and so forth. I present some of the best practices in statistics using a running example data analysis. Focusing primarily on frequentist and Bayesian linear mixed models, I illustrate some defensible ways in which statistical inference—specifically, hypothesis testing using Bayes factors versus estimation or uncertainty quantification—can be carried out. The key is to not overstate the evidence and to not expect too much from statistics. Along the way, I demonstrate some powerful ideas, including the use of simulation to understand the design properties of one's experiment before running it, visualization of data before carrying out a formal analysis, and simulation of data from the fitted model to understand the model's behavior. Expected final online publication date for the Annual Review of Linguistics, Volume 9 is January 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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来源期刊
CiteScore
7.20
自引率
6.20%
发文量
37
期刊介绍: The Annual Review of Linguistics, in publication since 2015, covers significant developments in the field of linguistics, including phonetics, phonology, morphology, syntax, semantics, pragmatics, and their interfaces. Reviews synthesize advances in linguistic theory, sociolinguistics, psycholinguistics, neurolinguistics, language change, biology and evolution of language, typology, as well as applications of linguistics in many domains.
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