Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Julia M Haaf"'
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-22 (2022)
Abstract Background We provide an overview of Bayesian estimation, hypothesis testing, and model-averaging and illustrate how they benefit parametric survival analysis. We contrast the Bayesian framework to the currently dominant frequentist approach
Externí odkaz:
https://doaj.org/article/0288f0d24fcd44e5a5450977e4104433
Autor:
Jeffrey Rouder, Julia M. Haaf
Publikováno v:
Journal of Cognition, Vol 4, Iss 1 (2021)
In this paper we propose a new set of questions that focus on the direction of effects. In almost all studies the direction is important. For example, in a Stroop task we expect responses to incongruent items to be slower than those to congruent ones
Externí odkaz:
https://doaj.org/article/ecf52d8e8cc54a9cac76a1c4240210db
Autor:
Johnny van Doorn, Julia M. Haaf, Angelika Marlene Stefan, Eric-Jan Wagenmakers, Gregory Edward Cox, Clintin P. Davis-Stober, Andrew Heathcote, Daniel W. Heck, Michael Kalish, David Kellen, Dora Matzke, Richard Donald Morey, Bruno Nicenboim, Don van Ravenzwaaij, Jeffrey N. Rouder, Daniel Schad, Rich Shiffrin, Henrik Singmann, Shravan Vasishth, João Veríssimo, Florence Bockting, Suyog Chandramouli, John C Dunn, Quentin Frederik Gronau, Maximilian Linde, Sara D McMullin, Danielle Navarro, Martin Schnuerch, Himanshu Yadav, Frederik Aust
Publikováno v:
Computational Brain and Behavior, 6(1). Springer
van Doorn et al. (2021) outlined various questions that arise when conducting Bayesian model comparison for mixed effects models. Seven response articles offered their own perspective on the preferred setup for mixed model comparison, on the most app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::913478eb8d898d23dae77ff0f528e81d
https://doi.org/10.1007/s42113-022-00160-3
https://doi.org/10.1007/s42113-022-00160-3
Individual difference exploration of cognitive domains is predicated on being able to ascertain how well performance on tasks covary. Yet, establishing correlations among common inhibition tasks such as Stroop or flanker tasks has proven quite diffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edecaf3b853832426ea3c29598f5415b
https://doi.org/10.31234/osf.io/fsqvu
https://doi.org/10.31234/osf.io/fsqvu
Publikováno v:
Computational Brain & Behavior. 6:50-63
ANOVA—the workhorse of experimental psychology—seems well understood in that behavioral sciences have agreed-upon contrasts and reporting conventions. Yet, we argue this consensus hides considerable flaws in common ANOVA procedures, and these fla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abff7aa3d3ee1260df6c1b38dce995c5
https://doi.org/10.1007/s42113-022-00132-7
https://doi.org/10.1007/s42113-022-00132-7
Publikováno v:
Computational Brain and Behavior, 6(1). Springer
In van Doorn et al. (2021), we outlined a series of open questions concerning Bayes factors for mixed effects model comparison, with an emphasis on the impact of aggregation, the effect of measurement error, the choice of prior distributions, and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17e340ca909c8abef5cbf04d4b295081
https://dare.uva.nl/personal/pure/en/publications/bayes-factors-for-mixed-models-perspective-on-responses(2f2d9553-a892-492f-b679-179377cd7069).html
https://dare.uva.nl/personal/pure/en/publications/bayes-factors-for-mixed-models-perspective-on-responses(2f2d9553-a892-492f-b679-179377cd7069).html
Autor:
Suzanne Hoogeveen, Sacha Altay, Theiss Bendixen, Renatas Berniūnas, Joseph Bulbulia, Arik Cheshin, Claudio Gentili, Raluca Georgescu, Julia M. Haaf, Kristin Hagel, Christopher Michael Kavanagh, Neil L Levy, Ryan McKay, Alejandra Neely-Prado, Lin Qiu, André Luiz Alves Rabelo, Jonathan Edward Ramsay, Robert M Ross, Hugh Turpin, Robin Wuyts, Dimitris Xygalatas, Michiel van Elk
All over the world, people reason dualistically. We consider it more probable that mental states, such as love, continue after biological death than we think bodily states, such as hunger, will continue. However the extent to which culture affects mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c817b23f5561cc85c39c8affa7ee87f5
https://doi.org/10.31234/osf.io/tvycp
https://doi.org/10.31234/osf.io/tvycp
Autor:
Alexandra Sarafoglou, František Bartoš, Angelika Marlene Stefan, Julia M. Haaf, Eric-Jan Wagenmakers
Huisman (2022) argued that a valid measure of evidence should indicate more support in favor of a true alternative hypothesis when sample size is large than when it is small. Bayes factors may violate this pattern and hence Huisman concluded that Bay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9529bb36658cc6426542e034980d7104
https://doi.org/10.31234/osf.io/rhtcp
https://doi.org/10.31234/osf.io/rhtcp
Autor:
Nicolás Sánchez-Fuenzalida, Simon van Gaal, Stephen M. Fleming, Julia M. Haaf, Johannes Jacobus Fahrenfort
To survive, organisms constantly make decisions to avoid danger and maximize rewards in information-rich environments. As a result, decisions about sensory input are not only driven by sensory information, but also by other factors, such as the expec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9cce4493fd62613fd5325232888da86
https://doi.org/10.31234/osf.io/5v8dh
https://doi.org/10.31234/osf.io/5v8dh
We explore how to translate default priors from linear mixed models to corresponding aggregate analyses in repeated measures ANOVA and paired t-tests.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9621dde3dea1b132bb95e9e4e9b811b4
https://doi.org/10.31234/osf.io/by2d9
https://doi.org/10.31234/osf.io/by2d9