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贝叶斯假设检验研究

贝叶斯假设检验研究是一种定量设计,通过用观测数据更新先验信念来评估竞争性假设,从而产生后验概率和贝叶斯因子。与频率学派的零假设显著性检验不同,它量化了每个假设的相对证据,支持可选停止,并允许跨研究累积证据而不夸大第一类错误率。

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来源

  1. Jeffreys, H. (1961). Theory of Probability (3rd ed.). Oxford University Press. ISBN: 978-0198503682
  2. Wagenmakers, E.-J. (2010). A practical solution to the pervasive problems of p values. Psychonomic Bulletin and Review, 14(5), 779–804. link

如何引用本页

ScholarGate. (2026, June 3). Bayesian Hypothesis Testing Research Design. ScholarGate. https://scholargate.app/zh/research-design/bayesian-hypothesis-testing-research

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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ScholarGateBayesian Hypothesis Testing Research (Bayesian Hypothesis Testing Research Design). 于 2026-06-15 检索自 https://scholargate.app/zh/research-design/bayesian-hypothesis-testing-research · 数据集: https://doi.org/10.5281/zenodo.20539026