In this talk I will discuss the Bayes factor: What it is, why (or why not) it should be used, and how to use it. My emphasis will be …

The use of Bayesian statistics in many scientific fields is a relatively new endeavor. The social sciences, for example, are witnessing …

Hypothesis testing is a commonly used inference tool in many research fields. Null hypothesis significance testing (NHST) and its …

A great franchise comes with a great rivalry: Marvel has Iron Man and Captain America; physics has General Relativity and Quantum …

Este é um seminário sobre Introdução à Estatística Bayesiana, no âmbito do II Ciclo de Seminários de Bioestatística e Bioinformática …

In this talk I will offer a gentle introduction to Open Science: What it is, how it came about, why it is needed, and what it offers.

Here, me and Don van Ravenzwaaij go at it! I argue that a proper use of Bayes factor requires careful judgement and a whole lot of …

In this talk I offer a gentle introduction to Open Science: What it is, how it came about, why it is needed, and what it offers.

This is a 2-hour workshop for the Graduate School of Medical Sciences at the UMCG, Groningen. It takes place online (and perhaps also …

A lot has already been said against the use of optional stopping (i.e., sequential testing) in the frequentist framework. On the other …

This workshop will highlight problems with classical inference tools ($p$-values, CIs) and provide a motivation to use Bayesian …

Null hypothesis significance testing (NHST) has been under scrutiny for decades. The literature shows overwhelming evidence of a large …

The social sciences are undergoing uncertain and exciting days. Perhaps unwillingly, Daryl Bem’s 2011 paper (where he incredibly makes …

The current crisis in psychology is claimed to be partly caused by the way we do statistics. This is one of the reasons why it has been …

Problems with frequentist statistics in general and null hypothesis significance testing in particular are a central issue in …

My talk is divided in two parts. In the first part I will offer an overview over some of my findings in three-way component analysis, …

Item Response Theory (IRT) models are nowadays popular statistical tools in educational, psychological, and clinical assessment. …

Item response theory (IRT) models are popular statistical tools that allow extracting psychometric information from data. These models …

Person-fit indices were applied to detect inconsistent patterns of correct/incorrect answers to test questions (items) on a high-stakes …

Unproctored Internet Testing (UIT) is becoming more popular in personnel recruitment and selection. A drawback of UIT is that cheating …

Tucker three-way PCA and Candecomp/Parafac are two well-known methods of generalizing principal component analysis to three way data. …

This paper presents a validation methodology in ascending hierarchical clustering. The objects in validation are clustering …

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