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The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else Is Known

2019

The New Statistics emphasizes effect sizes, confidence intervals, meta-analysis, and the use of Open Science practices. We present three specific ways in which a New Statistics approach can help improve scientific practice: by reducing overconfidence in small samples, by reducing confirmation bias, and by fostering more cautious judgments of consistency. We illustrate these points through consideration of the literature on oxytocin and human trust, a research area that typifies some of the endemic problems that arise with poor statistical practice.

AMERICAN STATISTICIAN

页码：271-280|卷号：73

ISSN：0003-1305

来源机构

La Trobe University

收录类型

SSCI

发表日期

2019

学科领域

循证社会科学-方法

国家

美国

语种

英语

DOI

10.1080/00031305.2018.1518266

其他关键词

PUBLICATION DECISIONS; CONFIDENCE-INTERVALS; OXYTOCIN; ACCURACY; TRUST; TESTS; POWER

EISSN

1537-2731

资助机构

NIMHUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Mental Health (NIMH) [1R15MH107892-01]; NATIONAL INSTITUTE OF MENTAL HEALTHUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Mental Health (NIMH) [R15MH107892] Funding Source: NIH RePORTER

资助信息

This work was partially supported by NIMH Grant 1R15MH107892-01.

被引频次（WOS）

被引更新日期

2022-01

关键词

Estimation Confidence intervals Meta-Analysis Open science The New Statistics

The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else Is Known

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