The new statistics: why and how
- PMID: 24220629
- DOI: 10.1177/0956797613504966
The new statistics: why and how
Abstract
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.
Keywords: estimation; meta-analysis; replication; research integrity; research methods; statistical analysis; the new statistics.
Comment in
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Why hypothesis tests are essential for psychological science: a comment on Cumming (2014).Psychol Sci. 2014 Jun;25(6):1289-90. doi: 10.1177/0956797614525969. Epub 2014 Mar 6. Psychol Sci. 2014. PMID: 24604147 No abstract available.
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Yes, but don't underestimate estimation: reply to Morey, Rouder, Verhagen, and Wagenmakers (2014).Psychol Sci. 2014 Jun;25(6):1291-2. doi: 10.1177/0956797614532658. Epub 2014 Apr 30. Psychol Sci. 2014. PMID: 24789841 No abstract available.
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