title: Extracting a maximum of useful information from statistical research data.
abstract: The practice of statistical inference in psychological research is critically reviewed. Particular emphasis is put on the fast pace of change from the sole reliance on null hypothesis significance testing (NHST) to the inclusion of effect size estimates, confidence intervals, and an interest in the Bayesian approach. We conclude that these developments are helpful for psychologists seeking to extract a maximum of useful information from statistical research data, and that seven decades of criticism against NHST is finally having an effect.
authors.affiliation: Department of Psychology, Uppsala University, SE-75142 Uppsala, Sweden. staffan.Sohlberg@psyk.uu.se
authors.forename: Staffan
authors.initials: S
authors.lastname: Sohlberg
authors.forename: Gerhard
authors.initials: G
authors.lastname: Andersson
mesh_terms: D001499:Bayes Theorem; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D006801:Humans; D011584:Psychology / Q000706:statistics & numerical data*; D012106:Research / Q000592:standards / Q000706:statistics & numerical data; D012107:Research Design