Informace o publikaci

Bayesian inference for psychology. Part II : Example applications with JASP

Autoři	WAGENMAKERS Eric-Jan LOVE Jonathon MARSMAN Marteen JAMIL Tahira LY Alexander VERHAGEN Josine SELKER Ravi GRONAU Quentin F. DROPMANN Damian BOUTIN Bruno MEERHOFF Frans KNIGHT Patrick RAJ Akash VAN KESTEREN Erik-Jan VAN DOORN Johnny ŠMÍRA Martin EPSKAMP Sasha ETZ Alexander MATZKE Dora DE JONG Tim VAN DEN BERGH Don SARAFOGLOU Alexandra STEINGROEVER Helen DERKS Koen ROUDER Jeffrey N. MOREY Richard D.
Rok publikování	2018
Druh	Článek v odborném periodiku
Časopis / Zdroj	Psychonomic Bulletin & Review
Fakulta / Pracoviště MU	Fakulta sociálních studií
Citace
www	https://doi.org/10.3758/s13423-017-1323-7
Doi	http://dx.doi.org/10.3758/s13423-017-1323-7
Obor	Psychologie
Klíčová slova	Hypothesis test; Statistical evidence; Bayes factor; Posterior distribution
Přiložené soubory	BayesianInferenceForPsychologyII.pdf
Popis	Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder’s BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.