Henk Kiers

Professor

University of Groningen

Netherlands

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Henk Kiers is a Professor at the University of Groningen in the Netherlands. His research areas include statistical methods in data analysis, null hypothesis testing, Bayesian statistics, and interobserver agreement metrics. Recent articles authored by Professor Kiers explore various topics, including cluster analysis, financial dissatisfaction in psychotic disorders, and multi-criteria methods for data analysis.

Henk Kiers

Research Interests

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Articles (21)

Bridging Null Hypothesis Testing and Estimation: A Practical Guide to Statistical Conclusion Drawing From Research in Psychology

To interact or not to interact: The pros and cons of including interactions in linear regression models

Weighted Kappa for Interobserver Agreement and Missing Data

Weighted least squares for archetypal analysis with missing data

Financial dissatisfaction in people with psychotic disorders - A short report on its prevalence and correlates in a large naturalistic psychosis cohort

Diagnosing the Misuse of the Bayes Factor in Applied Research

Some Views on Multi-criteria Methods for Data Analysis

Introduction to the Bayes factor

Onset of a conceptual outline map to get a hold on the jungle of cluster analysis

Comparing researchers’ degree of dichotomous thinking using frequentist versus Bayesian null hypothesis testing

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

With Bayesian estimation one can get all that Bayes factors offer, and more

The role of results in deciding to publish

Penalized optimal scaling for ordinal variables with an application to international classification of functioning core sets

On the white, the black, and the many shades of gray in between: Our reply to Van Ravenzwaaij and Wagenmakers (2021).

On the Potential Mismatch between the Function of the Bayes Factor and Researchers’ Expectations

Worked-out examples of the adequacy of Bayesian optional stopping

Bootstrap confidence intervals for principal covariates regression

Computational Identification of Confirmatory Factor Analysis Model with Simplimax Procedures

A New Opinion Polarization Index Developed by Integrating Expert Judgments

A Comparison of Reliability Coefficients for Ordinal Rating Scales

Collaborators (14)

lydia krabbendam

Koen Derks

Michael Lee

Paolo Giordani

R. J. Bosker

Daniel W. Heck

Paul‐Christian Bürkner

Josephien Leonie Jansen

Jorge Tendeiro

Aljoscha Rimpler

Richard Morey

Zoltan Dienes

Marlyne Meijerink-Bosman

Bence Pálfi

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