title: Calculating the main alternatives to null-hypothesis-significance testing in between-subject experimental designs.
abstract: The present article deals with the controversy about null hypothesis significance testing (NHST) that currently exists in psychological research. The main criticisms and counter-criticisms posed by its detractors and supporters are presented. Alternatives have been proposed to replace or complement the NHST, as recommended by the Task Force on Statistical Inference of the APA, and these are explained. Furthermore, the procedure for calculating these alternatives using SPSS statistical software in a two-way between-factor design is demonstrated. Thus, an attempt is made to provide the applied researcher with resources that make it possible to analyse and interpret the results of any research study using a group of indicators that lends a high level of validity to the statistical inference performed.
authors.affiliation: Universidad del País Vasco, Spain. nekane.balluerka@ehu.es
authors.forename: Nekane
authors.initials: N
authors.lastname: Balluerka Lasa
authors.forename: Ana I
authors.initials: AI
authors.lastname: Vergara Iraeta
authors.forename: Jaume
authors.initials: J
authors.lastname: Arnau Gras
mesh_terms: D000704:Analysis of Variance; D001499:Bayes Theorem; D016001:Confidence Intervals; D006801:Humans; D008128:Logic; D008960:Models, Psychological; D011336:Probability; D015203:Reproducibility of Results; D012107:Research Design / Q000706:statistics & numerical data*