Use one system for all results to avoid contradiction: Advice for using significance tests, equivalence tests, and Bayes factors.

IF 2.1 3区 心理学 Q2 PSYCHOLOGY
Zoltan Dienes
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引用次数: 0

Abstract

A nonsignificant result against an H0 of no effect does not distinguish evidence for no effect from no evidence at all one way or the other. Thus, a researcher engaged primarily in significance testing may decide to follow up just the nonsignificant results with a test from another system of inference, such as equivalence tests (more generally, inference by intervals) or Bayes factors. However, selectively using two systems of inference in this way, can lead to inferential inconsistency because different tests are based on different principles, and therefore a researcher can be tempted to select the way each system is used to get the results the researcher wants for just the tests that system is applied to. For a related set of tests, one system of inference should be consistently used. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

对所有结果使用一个系统,以避免矛盾:使用显著性检验、等效性检验和贝叶斯系数的建议。
针对 "无效应 H0 "的非显著性结果并不能以某种方式区分 "无效应 "和 "无证据"。因此,主要从事显著性检验的研究人员可能会决定仅对不显著的结果进行后续检验,而采用另一种推理系统,如等效检验(更广泛地说,区间推理)或贝叶斯因子。然而,以这种方式有选择地使用两种推论系统,可能会导致推论的不一致性,因为不同的检验基于不同的原理,因此,研究人员可能会倾向于选择使用每种系统的方式,以便仅在应用该系统的检验中获得研究人员想要的结果。对于一组相关的测试,应始终使用一种推论系统。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
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来源期刊
CiteScore
3.50
自引率
9.50%
发文量
145
审稿时长
4-8 weeks
期刊介绍: The Journal of Experimental Psychology: Human Perception and Performance publishes studies on perception, control of action, perceptual aspects of language processing, and related cognitive processes.
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