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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F18%3A00102035" target="_blank" >RIV/00216224:14230/18:00102035 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.3758/s13423-017-1323-7" target="_blank" >https://doi.org/10.3758/s13423-017-1323-7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3758/s13423-017-1323-7" target="_blank" >10.3758/s13423-017-1323-7</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

50100 - Psychology and cognitive sciences

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Psychonomic Bulletin & Review

ISSN

1069-9384

e-ISSN

1531-5320

Volume of the periodical

25

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

19

Pages from-to

58-76

UT code for WoS article

000428081700004

EID of the result in the Scopus database

2-s2.0-85022100313