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ONLINE COURSE – Designing Efficient, Falsifiable, and Informative Experiments through Sequential Analyses and Equivalence Testing (DRES02)

30th April 2020 - 1st May 2020


This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak.

This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.


Course Overview:

This two day course aims to help you to draw better statistical inferences from experimental research. It is common for researchers to design experiments and analyze results once, when all data has been collected, using null hypothesis testing. In this workshop we will improve hypothesis testing practices in two ways that will make your experiments more efficient and falsifiable. First, through practical, hands on assignments you will learn the basic ideas behind repeatedly analyzing data as it comes in, while controlling error rates. These sequential analyses procedures are much more efficient than traditional approaches to hypothesis testing, and are slowly becoming more popular outside biostatistics, where these approaches are very common.

Furthermore, you will learn how to perform equivalence tests, which are used to show the absence of a meaningful effect. This means you can design studies to yield informative results, regardless of whether there is or there isn’t an effect. Equivalence tests require specifying a smallest effect size of interest, and through discussions we will examine which ways you have to think about which effect sizes you find meaningful, and which effects are too small to matter. The goal of this workshop is to improve the statistical questions you ask when you collect data, design better and more efficient studies, and improve the way you draw inferences in your research. You will learn techniques and tools that can be immediately implemented in your own research, such as thinking about the smallest effect size you are interested in, justifying your sample size, and publishing null results.

Intended Audience

This workshop is ideal for any social scientists, behavioural scientists including psychologists, ethologists, behavioral ecologists, behavioral neuroscientists, who are interested in learning how to produce reliable and efficient research.

Venue – Delivered remotely                                                                                                                                                                                                                                                                            Time zone – Central European Summer Time
Availability – 20 places
Duration – 2 days
Contact hours – Approx. 14 hours
ECT’s – Equal to 3 ECT’s
Language – English

PLEASE READ – CANCELLATION POLICY: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@psstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited.

Dr. Daniel Lakens


Teaching Format
Course Programme


30th April 2020
1st May 2020


Delivered remotely (Netherlands)
Central European Summer Time, Netherlands + Google Map