Daniel W. Heck

Professor of Psychological Methods

Philipps-Universität Marburg

Germany

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Articles (14)

Year:

2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2021

Collaborators (12)

Koen Derks

Assistant Professor

Nyenrode Business University

NETHERLANDS

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Michael Lee

Full Professor

University of California

UNITED STATES

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Paul‐Christian Bürkner

GERMANY

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Jorge Tendeiro

Professor

Hiroshima University

JAPAN

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Henk Kiers

Professor

University of Groningen

NETHERLANDS

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Zoltan Dienes

Professor of Psychology

University of Sussex

UNITED KINGDOM

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Marlyne Meijerink-Bosman

Tilburg University

NETHERLANDS

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Bence Pálfi

Lecturer

Goldsmiths University of London

UNITED KINGDOM

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Edgar Erdfelder

University of Mannheim

GERMANY

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Henrik Singmann

Lecturer

University College London

UNITED KINGDOM

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Martin Schnuerch

University of Mannheim

GERMANY

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Andreas Voss

Professor for quantitative research methods

Ruprecht Karls Universität Heidelberg

GERMANY

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Daniel W. Heck

Research Interests

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Articles (14)

Evaluating the robustness of parameter estimates in cognitive models: A meta-analytic review of multinomial processing tree models across the multiverse of estimation methods.

Measuring the variability of personality traits with interval responses: Psychometric properties of the dual-range slider response format

Uncovering null effects in null fields: the case of homeopathy

The relevance of syntactic complexity for truth judgments: A registered report

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

How to develop, test, and extend multinomial processing tree models: A tutorial.

The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses

Cultural consensus theory for two-dimensional location judgments

Cheating to benefit others? On the relation between Honesty‐Humility and prosocial lies

Benefits of Bayesian Model Averaging for Mixed-Effects Modeling

Expertise determines frequency and accuracy of contributions in sequential collaboration

Waldian t tests: Sequential Bayesian t tests with controlled error probabilities

Sequential collaboration: The accuracy of dependent, incremental judgments.

Assessing the “paradox” of converging evidence by modeling the joint distribution of individual differences: Comment on Davis-Stober and Regenwetter (2019).

Collaborators (12)

Koen Derks

Michael Lee

Paul‐Christian Bürkner

Jorge Tendeiro

Henk Kiers

Zoltan Dienes

Marlyne Meijerink-Bosman

Bence Pálfi

Edgar Erdfelder

Henrik Singmann

Martin Schnuerch

Andreas Voss

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