TY  - JOUR
PY  - 2011//
TI  - Statistical Evidence in Experimental Psychology: An Empirical Comparison Using 855 t Tests
JO  - Perspectives on psychological science
A1  - Wetzels, Ruud
A1  - Matzke, Dora
A1  - Lee, Michael D.
A1  - Rouder, Jeffrey N.
A1  - Iverson, Geoffrey J.
A1  - Wagenmakers, Eric-Jan
SP  - 291
EP  - 298
VL  - 6
IS  - 3
N2  - Statistical inference in psychology has traditionally relied heavily on p-value significance testing. This approach to drawing conclusions from data, however, has been widely criticized, and two types of remedies have been advocated. The first proposal is to supplement p values with complementary measures of evidence, such as effect sizes. The second is to replace inference with Bayesian measures of evidence, such as the Bayes factor. The authors provide a practical comparison of p values, effect sizes, and default Bayes factors as measures of statistical evidence, using 855 recently published t tests in psychology. The comparison yields two main results. First, although p values and default Bayes factors almost always agree about what hypothesis is better supported by the data, the measures often disagree about the strength of this support; for 70% of the data sets for which the p value falls between.01 and.05, the default Bayes factor indicates that the evidence is only anecdotal. Second, effect sizes can provide additional evidence to p values and default Bayes factors. The authors conclude that the Bayesian approach is comparatively prudent, preventing researchers from overestimating the evidence in favor of an effect.<p /> <p>Language: en</p>
LA  - en
SN  - 1745-6916
UR  - http://dx.doi.org/10.1177/1745691611406923
ID  - ref1
ER  -