The New Statistics: Why and How

被引:2629
作者
Cumming, Geoff [1 ]
机构
[1] La Trobe Univ, Bundoora, Vic 3086, Australia
关键词
research integrity; the new statistics; estimation; meta-analysis; replication; statistical analysis; research methods; CONFIDENCE-INTERVALS; P VALUES; PSYCHOLOGICAL-RESEARCH; SPECIAL SECTION; ERROR BARS; INFERENCE; POWER; EYE; REPLICATION; ACCURACY;
D O I
10.1177/0956797613504966
中图分类号
B84 [心理学];
学科分类号
010107 [宗教学];
摘要
We need to make substantial changes to how we conduct research. First, in response to heightened concern that our published research literature is incomplete and untrustworthy, we need new requirements to ensure research integrity. These include prespecification of studies whenever possible, avoidance of selection and other inappropriate data-analytic practices, complete reporting, and encouragement of replication. Second, in response to renewed recognition of the severe flaws of null-hypothesis significance testing (NHST), we need to shift from reliance on NHST to estimation and other preferred techniques. The new statistics refers to recommended practices, including estimation based on effect sizes, confidence intervals, and meta-analysis. The techniques are not new, but adopting them widely would be new for many researchers, as well as highly beneficial. This article explains why the new statistics are important and offers guidance for their use. It describes an eight-step new-statistics strategy for research with integrity, which starts with formulation of research questions in estimation terms, has no place for NHST, and is aimed at building a cumulative quantitative discipline.
引用
收藏
页码:7 / 29
页数:23
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