Resources

We review the literature on evidence-based best practices on how to enhance methodological transparency, which is the degree of detail and disclosure about the specific steps, decisions, and judgment calls made during a scientific study. We …

This project is a neuroscience-focused podcast that highlights the diverse and innovative research currently taking place across the Netherlands. By featuring conversations with researchers from various backgrounds and career stages (ranging from …

This chapter considers various factors that have been responsible for the comparatively slow development of psychology into a cumulative empirical science. Special attention is devoted to correctable methodological mistakes, the over-reliance upon …

This chapter considers problems with null hypothesis significance testing (NHST). The literature in this area is quite large. D. Anderson, Burnham, and W. Thompson (2000) recently found more than 300 articles in different disciplines about the …

Hypothesizing after the results are known, or HARKing, occurs when researchers check their research results and then add or remove hypotheses on the basis of those results without acknowledging this process in their research report (Kerr, 1998). In …

A podcast about replication crisis

In this course, we will explore the so‐called “reproducibility crisis” that has struck fields from psychology and economics to ecology and cancer biology. You will learn statistical principles at the heart of the reproducibility crisis, how disregard …

When designing a study, the planned sample size is often based on power analyses. One way to choose an effect size for power analyses is by relying on pilot data. A-priori power analyses are only accurate when the effect size estimate is accurate. In …

This paper explains how to select the correct statistical test for a research project, clinical trial, or other investigation. The first step is to decide in what scale of measurement your data are as this will affect your decision—nominal, ordinal, …

Open data is receiving increased attention and support in academic environments, with one justification being that shared data may be re-used in further research. But what evidence exists for such re-use, and what is the relationship between the …