$p$值可以在没有随机抽样的情况下进行有意义的解释吗?

IF 11 Q1 STATISTICS & PROBABILITY

Statistics Surveys Pub Date : 2019-08-16 DOI:10.31235/osf.io/yazr8

N. Hirschauer, Sven Gruener, O. Musshoff, C. Becker, Antje Jantsch

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引用次数: 23

摘要

除了在p值的解释中大量存在的推理误差之外，在社会科学的观察性研究中，使用p值的概率前提条件(即随机抽样或等效)通常不满足。本文系统化了不同的抽样设计，并讨论了数据收集的限制性要求，这些要求是使用p值的正弦条件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Can $p$-values be meaningfully interpreted without random sampling?

Besides the inferential errors that abound in the interpretation of p-values, the probabilistic pre-conditions (i.e. random sampling or equivalent) for using them at all are not often met by observa-tional studies in the social sciences. This paper systematizes different sampling designs and discusses the restrictive requirements of data collection that are the sine-qua-non for using p-values.

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来源期刊

Statistics Surveys STATISTICS & PROBABILITY-

CiteScore

11.70

自引率

0.00%

发文量

期刊介绍： Statistics Surveys publishes survey articles in theoretical, computational, and applied statistics. The style of articles may range from reviews of recent research to graduate textbook exposition. Articles may be broad or narrow in scope. The essential requirements are a well specified topic and target audience, together with clear exposition. Statistics Surveys is sponsored by the American Statistical Association, the Bernoulli Society, the Institute of Mathematical Statistics, and by the Statistical Society of Canada.