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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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).

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50100 - Psychology and cognitive sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • 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

    23

  • Pages from-to

    35-57

  • UT code for WoS article

    000428081700003

  • EID of the result in the Scopus database

    2-s2.0-85021081527