Výsledky vyhledávání - "Angelika Stefan"

Expert agreement in prior elicitation and its effects on Bayesian inference

Autor: Angelika Stefan, Eric-Jan Wagenmakers, Dimitris Katsimpokis, Quentin Frederik Gronau

Publikováno v: Psychonomic Bulletin & Review. 29:1776-1794

Bayesian inference requires the specification of prior distributions that quantify the pre-data uncertainty about parameter values. One way to specify prior distributions is through prior elicitation, an interview method guiding field experts through

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31d79152ee4d3f35c36397061ff1b28b
https://doi.org/10.3758/s13423-022-02074-4

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Bayes Factors for Mixed Models

Autor: Johnny van Doorn, Julia M. Haaf, Angelika Stefan, Frederik Aust, Eric-Jan Wagenmakers

Publikováno v: Computational Brain and Behavior, 6(1). Springer

Although Bayesian linear mixed effects models are increasingly popular for analysis of within-subject designs in psychology and other fields, there remains considerable ambiguity on the most appropriate Bayes factor hypothesis test to quantify the de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e219d62cc32eff22501f9d419762966b
https://dare.uva.nl/personal/pure/en/publications/bayes-factors-for-mixed-models(c6ee00d0-73cf-4cc6-b9c8-6cd0bd861c05).html

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The predictive power of insomnia symptoms on other aspects of mental health during the COVID-19 pandemic: a longitudinal study

Autor: Gabriela G. Werner, Barbara Cludius, Philipp Sckopke, Angelika Stefan, Felix Schönbrodt, Caroline Zygar‐Hoffmann

Publikováno v: Journal of Sleep Research, 32(1):e13641. Wiley-Blackwell

Symptoms of insomnia are an important risk factor for the development of mental disorders, especially during stressful life periods such as the coronavirus disease 2019 (COVID-19) pandemic. However, up to now, most studies have used cross-sectional d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1958a4e33dc79dfa35b9e2a4be0b3940
https://doi.org/10.1111/jsr.13641

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Interim Design Analysis Using Bayes Factor Forecasts

Autor: Angelika Stefan, Quentin Frederik Gronau, Eric-Jan Wagenmakers

A fundamental part of experimental design is to determine the sample size of a study. However, sparse information about population parameters and effect sizes before data collection renders effective sample size planning challenging. Specifically, sp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee4e184764833361303cd9041c5bf9e3
https://doi.org/10.31234/osf.io/9sazk

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Bayesian power equivalence in latent growth curve models

Autor: Timo von Oertzen, Angelika Stefan

Publikováno v: The British Journal of Mathematical and Statistical Psychology
British Journal of Mathematical & Statistical Psychology, 73(S1), 180-193. Wiley-Blackwell
British Journal of Mathematical and Statistical Psychology

Longitudinal studies are the gold standard for research on time‐dependent phenomena in the social sciences. However, they often entail high costs due to multiple measurement occasions and a long overall study duration. It is therefore useful to opt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85c909597166bbb5516bca7da8f8c905
https://dare.uva.nl/personal/pure/en/publications/bayesian-power-equivalence-in-latent-growth-curve-models(a371cb40-56e5-45ab-a0f0-bdada4b9b006).html

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Efficiency in sequential testing: Comparing the sequential probability ratio test and the sequential Bayes factor test

Autor: Nathan J. Evans, Eric-Jan Wagenmakers, Angelika Stefan, Felix D. Schönbrodt

Publikováno v: Behavior Research Methods, 54(6), 3100-3117. Behavior Research Methods

In a sequential hypothesis test, the analyst checks at multiple steps during data collection whether sufficient evidence has accrued to make a decision about the tested hypotheses. As soon as sufficient information has been obtained, data collection

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dedc93d831ba26dee06c71784c7af477
https://pubmed.ncbi.nlm.nih.gov/35233752

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Developing Prior Distributions for Bayesian Meta-Analyses

Autor: Kaitlan McKinney, Angelika Stefan, Quentin Frederik Gronau

One effective way to consolidate studies is to use Bayesian meta-analyses. Bayesian methodology allows researchers to integrate their own predictions into the analysis. However, researchers may struggle to decide which prior distribution is appropria

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ac615f22bba99b8834761c44e761896b
https://doi.org/10.31234/osf.io/2v5bz

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The Bayesian methodology of Sir Harold Jeffreys as a practical alternative to the p value hypothesis test

Autor: Alexander Ly, Dora Matzke, A. Raj, Koen Derks, Maarten Marsman, D. van den Bergh, Quentin Frederik Gronau, Angelika Stefan, Udo Boehm, J. van Doorn, Eric-Jan Wagenmakers, Šimon Kucharský, Alexandra Sarafoglou, E.-J. van Kesteren, Max Hinne, Fabian Dablander

Publikováno v: Computational Brain & Behavior, 3, 153-161
Computational Brain & Behavior, 3(2), 153-161. Springer
Computational Brain & Behavior, 3, 2, pp. 153-161

Contains fulltext : 226717.pdf (Publisher’s version ) (Closed access) Despite an ongoing stream of lamentations, many empirical disciplines still treat the p value as the sole arbiter to separate the scientific wheat from the chaff. The continued r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7aa848e2bfa631c103b904171516c841
https://doi.org/10.1007/s42113-019-00070-x

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