Workshop "Designing More Efficient and Reliable Studies"

Workshop "Designing More Efficient and Reliable Studies"

29.11.2019 09:00 – 17:00

Workshop Overview

This course aims to help you to draw better statistical inferences from experimental research, improve the statistical questions you ask when you collect data, and design better and more efficient studies. We will go through best practices in hypothesis testing and power analysis, and discuss how to falsify studies, how to prevent publication bias, and how to statistically support null effects. In practical, hands on assignments, you will learn techniques and tools that can be immediately implemented in your own research, such as sequential analysis, thinking about the smallest effect size you are interested in, and equivalence testing.

Previous Knowledge

You should have some basic knowledge about calculating descriptive statistics, and how to perform t-tests, correlations, and ANOVA's. A lot of the examples will be focused on experimental research, so having performed experimental research is useful as well. It is highly recommended to bring either a published paper, a working paper, or a pre-registration plan to use in the hands-on assignments.

Assumed computer background

We will use R in many of the assignments, but you don't need any previous knowledge of R - we will mainly use it as a fancy calculator, and I will guide you through everything you need to do.

Equipment and requirements

Please install R and install R studio before the workshop.
Please install these R packages. If needed, see this help file on how to run R code.
Accepted participants will be asked to fill in a short questionnaire to fine-tune the contents of the workshop accordingly.

Instructor. Prof. Daniel Lakens is Assistant Professor in the Human-Technology interaction group at Eindhoven University of Technology (TU/e). He is an expert on research methods, including how to design and interpret studies, and applied (meta)-statistics. He blogs on methods and statistics at He loves teaching about research methods to young scholars, has an online MOOC on ‘Improving Your Statistical Inferences’. He also won a TU/e Teacher of the Year award in 2014.
He has given over 40 workshops on open science and improving research practices to scientists across the globe, science journalists, and at data science companies (e.g.,, Trivago) .



Bâtiment: Campus Biotech

H8.01 D

Organisé par

Centre interfacultaire en sciences affectives (CISA)


Prof. Daniel Lakens, Eindhoven University of Technology

entrée libre


Catégorie: Séminaire

Mots clés: CISA, Statistics

Plus d'infos

Contact: missing email

Fichiers joints

Workshop - Daniel Lakens.pdf132.5 Kb