Koen Derks - Dissemin

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All papers authored by Koen Derks

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2024 Koen Derks

ORCID

, Lotte Mensink, Jacques de Swart, Ruud Wetzels

Toepassing van data-analyse om de steekproef te rationaliseren

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Koen Derks

ORCID

, Jacques de Swart, Eric-Jan Wagenmakers, Ruud Wetzels

The Bayesian Approach to Audit Evidence: Quantifying Statistical Evidence Using the Bayes Factor

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2023 Daniel W. Heck

ORCID

, Udo Boehm, Florian Böing-Messing, Paul-Christian Bürkner

ORCID

, Koen Derks

ORCID

, Zoltan Dienes

ORCID

, Qianrao Fu, Xin Gu, Diana Karimova

ORCID

, Henk A. L. Kiers

ORCID

, Irene Klugkist, Rebecca M. Kuiper, Michael D. Lee

ORCID

, Roger Leenders

ORCID

, Hidde J. Leplaa

ORCID

and 16 other authors

A review of applications of the Bayes factor in psychological research.

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Koen Derks

ORCID

, Jacques de Swart, Ruud Wetzels

Open-source software als brug tussen de auditor en de statisticus

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2022 Koen Derks

ORCID

, Jacques de Swart, Ruud Wetzels

Een Bayesiaanse blik op gestratificeerde steekproeven heeft voordelen voor de auditor

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2021 Koen Derks

ORCID

, Jacques de Swart, Eric-Jan Wagenmakers, Jan Wille, Ruud Wetzels

JASP for Audit: Bayesian Tools for the Auditing Practice

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Koen Derks

ORCID

, Jacques de Swart, Paul van Batenburg, Jacques Swart, Paul Batenburg, Eric‐Jan Wagenmakers, Ruud Wetzels

Priors in a Bayesian audit: How integration of existing information into the prior distribution can improve audit transparency and efficiency

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2020 Johnny van Doorn, Don van den Bergh, Udo Böhm, Fabian Dablander

ORCID

, Koen Derks

ORCID

, Tim Draws, Alexander Etz, Nathan J. Evans, Quentin F. Gronau, Julia M. Haaf, Max Hinne, Šimon Kucharský, Alexander Ly, Maarten Marsman, Dora Matzke and 5 other authors

The JASP guidelines for conducting and reporting a Bayesian analysis

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Justin F. Landy

ORCID

, Miaolei (Liam) Jia, Isabel L. Ding, Domenico Viganola, Warren Tierney, Anna Dreber, Magnus Johannesson, Thomas Pfeiffer, Charles R. Ebersole, Quentin F. Gronau, Alexander Ly, Don van den Bergh, Maarten Marsman, Koen Derks

ORCID

, Eric-Jan Wagenmakers and 35 other authors

Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Koen Derks

ORCID

jfa: Statistical Methods for Auditing

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Don van den Bergh, Johnny van Doorn, Maarten Marsman, Tim Draws, Erik-Jan van Kesteren, Koen Derks

ORCID

, Fabian Dablander, Quentin F. Gronau, imon Kucharský, Šimon Kucharský, Akash R. Komarlu Narendra Gupta, Alexandra Sarafoglou, Jan G. Voelkel, Angelika Stefan, Alexander Ly and 3 other authors

A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP

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2019 Alexander Ly, Angelika Stefan, Johnny van Doorn, Fabian Dablander, Don van den Bergh, Alexandra Sarafoglou, S̆imon Kucharský, Koen Derks

ORCID

, Quentin Frederik Gronau, Akash Raj, Udo Boehm, Erik-Jan van Kesteren, Max Hinne, Dora Matzke, Maarten Marsman

ORCID

and 1 other authors

The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P-value Hypothesis Test

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2018 Koen Derks

ORCID

, Julian Burger, Johnny van Doorn, Jolanda J. Kossakowski, Dora Matzke, Ludovica Atticciati, Julia Beitner, Viket Benzesin, Anne L. de Bruijn, Tara R. H. Cohen, Elisa P. A. Cordesius, Marit van Dekken, Nora Delvendahl, Simone Dobbelaar, Eva R. Groenendijk and 37 other authors

Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance

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2017 Eric-Jan Wagenmakers, Jonathon Love, Maarten Marsman, Tahira Jamil, Alexander Ly, Josine Verhagen, Ravi Selker, Quentin F. Gronau, Damian Dropmann, Bruno Boutin, Frans Meerhoff, Patrick Knight, Akash Raj, Erik-Jan van Kesteren, Johnny van Doorn and 11 other authors

Bayesian inference for psychology. Part II: Example applications with JASP

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