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P-hackingとは 意味・読み方・使い方
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Wiktionary英語版での「P-hacking」の意味 |
p-hacking
出典:『Wiktionary』 (2025/09/16 12:06 UTC 版)
別の表記
- P-hacking
語源
Blend of p-value + hacking, from "p" for probability. Coined by researchers Uri Simonsohn, Leif D. Nelson, and Joseph P. Simmons, in 2014.
名詞
p-hacking (uncountable)
- (sciences, statistics) The practice of reanalysis of data until a desired result is obtained which is statistically significant
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[2016, Ronald L. Wasserstein, Nicole A. Lazar, “The ASA Statement on p-Values: Context, Process, and Purpose”, in The American Statistician, volume 70, number 2, :
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Cherry-picking promising findings, also known by such terms as data dredging, significance chasing, significance questing, selective inference, and “p-hacking,” leads to a spurious excess of statistically significant results in the published literature and should be vigorously avoided.]
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関連する語
参照
- ^ Uri Simonsohn, Leif D. Nelson, Joseph P. Simmons (24 April 2013), “P-Curve: A Key to the File Drawer”, in Journal of Experimental Psychology: General, Forthcoming, volume 143, number 2, , page 534:
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While collecting and analyzing data, researchers have many decisions to make, including whether to collect more data, which outliers to exclude, which measure(s) to analyze, which covariates to use, and so on. If these decisions are not made in advance but rather are made as the data are being analyzed, then researchers may make them in ways that self-servingly increase their odds of publishing (Kunda, 1990). Thus, rather than placing entire studies in the file-drawer, researchers may file merely the subsets of analyses that produce nonsignificant results. We refer to such behavior as p-hacking.
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P-hackingのページの著作権
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Text is available under Creative Commons Attribution-ShareAlike (CC-BY-SA) and/or GNU Free Documentation License (GFDL). Weblio英和・和英辞典に掲載されている「Wiktionary英語版」の記事は、Wiktionaryのp-hacking (改訂履歴)の記事を複製、再配布したものにあたり、Creative Commons Attribution-ShareAlike (CC-BY-SA)もしくはGNU Free Documentation Licenseというライセンスの下で提供されています。 |
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1front
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2shipping policy
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3translate
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4false
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5frend
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6feature
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7芝生
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8take
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9square brackets
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10fix
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