也许心理学的复制危机是一个理论危机,只是伪装成一个统计危机

C. D. Green
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引用次数: 2

摘要

“复制危机”很可能是当今实证心理学研究面临的最重要的挑战。看来,训练有素的科学家往往不了解潜在的可怕的长期影响,为了获得统计“显著性”,一直在错误地处理标准统计程序。使问题恶化的是,大多数学术期刊都不发表没有产生“重大”结果的研究。这种有毒的组合导致期刊发表了许多I型错误,并拒绝发表许多拒绝H0的真正失败。作为回应,一些心理学家迫切要求提前登记研究,以便提前记录其基本原理、假设、变量、样本量和统计分析,减少事后操纵的空间。在本章中,我认为这种“开放科学”的方法虽然值得称赞,但将被证明是不够的,因为零假设显著性检验(NHST)是一个糟糕的科学真理标准,即使它被正确处理。问题的根源在于,无论心理学可能存在何种统计问题,这门学科从未发展到所需的理论成熟度。几十年来,它一直满足于测试薄弱的理论,这些理论最多只能预测效应的方向,而不能预测效应的大小。事实上,学科对NHST的不加批判的接受可能阻碍了心理学理论的发展,因为它给了研究人员一种建立成功职业生涯的方式,而不必开发做出精确预测的模型。当然,改善我们的统计“卫生”将是一件好事,但在我们的理论实践相当成熟之前,它不太可能解决心理学日益严重的可信度问题。
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Perhaps Psychology’s Replication Crisis is a Theoretical Crisis that is Only Masquerading as a Statistical One
The “replication crisis” may well be the single most important challenge facing empirical psychological research today. It appears that highly trained scientists, often without understanding the potentially dire long-term implications, have been mishandling standard statistical procedures in the service of attaining statistical “significance.” Exacerbating the problem, most academic journals do not publish research that has not produced a “significant” result. This toxic combination has resulted in journals apparently publishing many Type I errors and declining to publish many true failures to reject H0. In response, there has been an urgent call from some psychologists that studies be registered in advance so that their rationales, hypotheses, variables, sample sizes, and statistical analyses are recorded in advance, leaving less room for post hoc manipulation. In this chapter, I argue that this “open science” approach, though laudable, will prove insufficient because the null hypothesis significance test (NHST) is a poor criterion for scientific truth, even when it is handled correctly. The root of the problem is that, whatever statistical problems psychology may have, the discipline never developed the theoretical maturity required. For decades it has been satisfied testing weak theories that predict, at best, only the direction of the effect, rather than the size of effect. Indeed, uncritical acceptance of NHST by the discipline may have served to stunt psychology’s theoretical growth by giving researchers a way of building a successful career without having to develop models that make precise predictions. Improving our statistical “hygiene” would be a good thing, to be sure, but it is unlikely to resolve psychology’s growing credibility problem until our theoretical practices mature considerably.
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