Experimental Methods in Business Research


The goal of this course is to learn how to design, analyse, and interpret field and laboratory experiments.



The course is built on three pillars: Testing research ideas with clean and rigorous experimental designs, applying the appropriate statistical techniques necessary to analyse these designs, and properly interpreting the implications of the observed results in light of the study design and research question. Topics include: causal inference, experimental designs (factorial designs, within- vs. between-subject designs, mixed designs), validity of designs (internal, external, criterion-related, and construct validities), experimental caveats (demand characteristics, confounds, experimenter expectancy, checks, measurement order, control variables), applying statistics to experimental designs (e.g., simple effects, simple slopes, contrasts, outliers, statistical power, simple mediation, moderated mediation, mediated moderation), data visualization, and scientific integrity (researcher degrees of freedom, questionable research practices, transparency, p-hacking) 

We will examine these topics from the perspective of an applied behavioural researcher (with examples from fields such as marketing, organizational behaviour, economics, and psychology). Our focus is thus very practical—to help you overcome any issues that might arise in designing and conducting your experiment, analysing your data, writing up your results, and getting your paper published. An intermediate proficiency in a programming language (preferably R) is strongly encouraged for this class.

As in previous years, we may be able to collect data in the Erasmus Behavioural Lab.


25% class participation, 75% assignments.


Further reading and resources will be posted on Canvas after each lecture.

Additional info

The timetable for this course can be found here. (The linked timetable might not show all the sessions at one glance. Please scroll per month to see the schedule of the entire course.)

ERIM PhD candidates (Fulltime & Part-time) can register for this course via Osiris Student.

External (non-ERIM) participants are welcome to this course. To register, please fill in the registration form and e-mail it to the ERIM Doctoral Office by four weeks prior to the start of the course. For external participants, the course fee is 1300 euro.