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)
37
被引更新日期
2022-01
关键词
Estimation Confidence intervals Meta-Analysis Open science The New Statistics