%0 Journal Article
%T Statistical significance II. Interpretive pitfalls
%A Wolski, Piotr
%J Yearbook of Cognitive Science
%V 2016
%R 10.4467/20843895RK.16.006.6412
%N Vol. 9
%P 59-70
%K statistical inference, null hypothesis significance testing, NHST, p-value, reversed conditional error
%@ 1689-927X
%D 2017
%U https://ejournals.eu/en/journal/rocznik-kognitywistyczny/article/istotnosc-statystyczna-ii-pulapki-interpretacyjne
%X 
	The second of the series of essays on the problems of significance testing in psychological research focuses on inconsistencies of the logic of these tests and resulting problems with interpretation. The limits of their practical usability have been discussed, and reasons of their failure with a priori unlikely null-hypotheses explained. Misleading connotations of the term “statistical significance” have been stressed, that obscure the true meaning of statistical significance and promote bad practices, including overestimation of significance, and neglecting the problem of effect size.