Bayesian inference for psychology. Part I : Theoretical advantages and practical ramifications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F18%3A00102036" target="_blank" >RIV/00216224:14230/18:00102036 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.3758/s13423-017-1343-3" target="_blank" >https://doi.org/10.3758/s13423-017-1343-3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3758/s13423-017-1343-3" target="_blank" >10.3758/s13423-017-1343-3</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Bayesian inference for psychology. Part I : Theoretical advantages and practical ramifications

Popis výsledku v původním jazyce

Bayesian parameter estimation and Bayesian hypothesis testing present attractive alternatives to classical inference using confidence intervals and p values. In part I of this series we outline ten prominent advantages of the Bayesian approach. Many of these advantages translate to concrete opportunities for pragmatic researchers. For instance, Bayesian hypothesis testing allows researchers to quantify evidence and monitor its progression as data come in, without needing to know the intention with which the data were collected. We end by countering several objections to Bayesian hypothesis testing. Part II of this series discusses JASP, a free and open source software program that makes it easy to conduct Bayesian estimation and testing for a range of popular statistical scenarios (Wagenmakers et al. this issue).

Název v anglickém jazyce

Bayesian inference for psychology. Part I : Theoretical advantages and practical ramifications

Popis výsledku anglicky

Bayesian parameter estimation and Bayesian hypothesis testing present attractive alternatives to classical inference using confidence intervals and p values. In part I of this series we outline ten prominent advantages of the Bayesian approach. Many of these advantages translate to concrete opportunities for pragmatic researchers. For instance, Bayesian hypothesis testing allows researchers to quantify evidence and monitor its progression as data come in, without needing to know the intention with which the data were collected. We end by countering several objections to Bayesian hypothesis testing. Part II of this series discusses JASP, a free and open source software program that makes it easy to conduct Bayesian estimation and testing for a range of popular statistical scenarios (Wagenmakers et al. this issue).

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50100 - Psychology and cognitive sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Psychonomic Bulletin & Review

ISSN

1069-9384

e-ISSN

1531-5320

Svazek periodika

25

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

23

Strana od-do

35-57

Kód UT WoS článku

000428081700003

EID výsledku v databázi Scopus

2-s2.0-85021081527