JASP: Graphical Statistical Software for Common Statistical
Designs

J 2019

JASP: Graphical Statistical Software for Common Statistical Designs

LOVE, J.; R. SELKER; M. MARSMAN; T. JAMIL; D. DROPMANN et. al.

Základní údaje

Originální název

JASP: Graphical Statistical Software for Common Statistical Designs

Autoři

LOVE, J.; R. SELKER; M. MARSMAN; T. JAMIL; D. DROPMANN; J. VERHAGEN; A. LY; Q.F. GRONAU; Martin ŠMÍRA; S. EPSKAMP; D. MATZKE; A. WILD; P. KNIGHT; J.N. ROUDER; R.D. MOREY a E.J. WAGENMAKERS

Vydání

JOURNAL OF STATISTICAL SOFTWARE, LOS ANGELES, JOURNAL STATISTICAL SOFTWARE, 2019, 1548-7660

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 13.642

Kód RIV

RIV/00216224:14230/19:00113750

Organizační jednotka

Fakulta sociálních studií

DOI

https://doi.org/10.18637/jss.v088.i02

UT WoS

000457018600001

EID Scopus

2-s2.0-85061360981

Klíčová slova anglicky

JASP; statistical software; Bayesian inference; graphical user interface; basic statistics

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 27. 4. 2020 12:24, Mgr. Blanka Farkašová

Anotace

V originále

This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attractive, minimalist, and designed around the principle of progressive disclosure, and analyses can be peer reviewed without requiring a "syntax". Second, JASP provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation. The ease with which these relatively complex Bayesian techniques are available in JASP encourages their broader adoption and furthers a more inclusive statistical reporting practice. The JASP analyses are implemented in R and a series of R packages.

Přiložené soubory

JASP.pdf

Citovat

LOVE, J.; R. SELKER; M. MARSMAN; T. JAMIL; D. DROPMANN; J. VERHAGEN; A. LY; Q.F. GRONAU; Martin ŠMÍRA; S. EPSKAMP; D. MATZKE; A. WILD; P. KNIGHT; J.N. ROUDER; R.D. MOREY a E.J. WAGENMAKERS. JASP: Graphical Statistical Software for Common Statistical Designs. JOURNAL OF STATISTICAL SOFTWARE. LOS ANGELES: JOURNAL STATISTICAL SOFTWARE, 2019, roč. 88, č. 2, s. 1-17. ISSN 1548-7660. Dostupné z: https://doi.org/10.18637/jss.v088.i02.

@article{1648878,
   author = {Love, J. and Selker, R. and Marsman, M. and Jamil, T. and Dropmann, D. and Verhagen, J. and Ly, A. and Gronau, Q.F. and Šmíra, Martin and Epskamp, S. and Matzke, D. and Wild, A. and Knight, P. and Rouder, J.N. and Morey, R.D. and Wagenmakers, E.J.},
   article_location = {LOS ANGELES},
   article_number = {2},
   doi = {https://doi.org/10.18637/jss.v088.i02},
   keywords = {JASP; statistical software; Bayesian inference; graphical user interface; basic statistics},
   language = {eng},
   issn = {1548-7660},
   journal = {JOURNAL OF STATISTICAL SOFTWARE},
   title = {JASP: Graphical Statistical Software for Common Statistical Designs},
   url = {http://dx.doi.org/10.18637/jss.v088.i02},
   volume = {88},
   year = {2019}
}

TY  - JOUR
ID  - 1648878
AU  - Love, J. - Selker, R. - Marsman, M. - Jamil, T. - Dropmann, D. - Verhagen, J. - Ly, A. - Gronau, Q.F. - Šmíra, Martin - Epskamp, S. - Matzke, D. - Wild, A. - Knight, P. - Rouder, J.N. - Morey, R.D. - Wagenmakers, E.J.
PY  - 2019
TI  - JASP: Graphical Statistical Software for Common Statistical Designs
JF  - JOURNAL OF STATISTICAL SOFTWARE
VL  - 88
IS  - 2
SP  - 1-17
EP  - 1-17
PB  - JOURNAL STATISTICAL SOFTWARE
SN  - 15487660
KW  - JASP
KW  - statistical software
KW  - Bayesian inference
KW  - graphical user interface
KW  - basic statistics
UR  - http://dx.doi.org/10.18637/jss.v088.i02
L2  - http://dx.doi.org/10.18637/jss.v088.i02
N2  - This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attractive, minimalist, and designed around the principle of progressive disclosure, and analyses can be peer reviewed without requiring a "syntax". Second, JASP provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation. The ease with which these relatively complex Bayesian techniques are available in JASP encourages their broader adoption and furthers a more inclusive statistical reporting practice. The JASP analyses are implemented in R and a series of R packages.
ER  -

LOVE, J.; R. SELKER; M. MARSMAN; T. JAMIL; D. DROPMANN; J. VERHAGEN; A. LY; Q.F. GRONAU; Martin ŠMÍRA; S. EPSKAMP; D. MATZKE; A. WILD; P. KNIGHT; J.N. ROUDER; R.D. MOREY a E.J. WAGENMAKERS. JASP: Graphical Statistical Software for Common Statistical Designs. \textit{JOURNAL OF STATISTICAL SOFTWARE}. LOS ANGELES: JOURNAL STATISTICAL SOFTWARE, 2019, roč.~88, č.~2, s.~1-17. ISSN~1548-7660. Dostupné z: https://doi.org/10.18637/jss.v088.i02.

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