著者
小杉 考司
出版者
日本基礎心理学会
雑誌
基礎心理学研究 (ISSN:02877651)
巻号頁・発行日
vol.37, no.2, pp.167-173, 2019-03-31 (Released:2019-05-18)
参考文献数
24

In this paper, I clarify the problem of null hypothesis significance testing along with Kruschke (2014) and point out five advantages of Bayesian statistics. First, it is not necessary to convert data for NHST. Second, additional assumptions or corrections are not required. Third, there is no need for any preliminary design of the verification plan. Fourth, the Bayesian approach allows an intuitive interpretation of results. Fifth, the sample size does not cause critical problems. Beyond these advantages, Bayesian statistics can be used alongside frequentism and likelihoodism methods. Finally, I argue it is necessary in science communication to clearly express the researcher’s premise as a prior distribution or likelihood function.

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#統計 ベイズ統計に関する誤解の事例を追加 https://t.co/GeYxNsVtHe 講演論文 新しい統計学とのつきあい方 小杉 考司 2019 事後分布は使用した数学的モデルに強く依存して決まるモデル内の確率分布。事後… https://t.co/NIKgFO8cWQ
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