Applied Quantitative Methods for Management Research - 2026

Module C: Experimental Designs

Course coordinator: Jacob L. Orquin

Lecturer: Jacob Orquin, Nick Simonsen

Workload: 3 ECTS

Administrative assistance: Lisbeth Widahl

Time and place: 

Week 48, Monday-Wednesday, 23-25 November 2026, from 9.00 – 16.00

Aarhus BSS, Aarhus University, Universitetsbyen, 8000 Aarhus C. Room: TBA.

Application deadline: 12 October 2026

The course Experimental design builds on the knowledge and skills learned in the course Applied Quantitative Methods for Management Research - Module A: Understanding causality. The course therefore requires a basic understanding of statistics (regression) and causality. The course is organised around a typical workflow in experimental research in management and marketing. Each unit teaches theory followed by hands-on exercises.

Course objectives:

Critically Evaluate Experimental Research
Students will be able to read, interpret, and critically review scientific articles that use experimental methods, assessing the validity of causal claims and the appropriateness of experimental designs.

Design and Conduct Experiments
Students will gain the ability to design and implement factorial experiments, including defining manipulations, selecting appropriate experimental designs (e.g., within- or between-subjects), and addressing potential biases such as learning effects and demand characteristics.

Analyse Experimental Data
Students will learn how to analyse experimental data using generalised linear mixed models to account for fixed and random effects and conduct power analyses to determine appropriate sample sizes.

Develop Reproducible and Transparent Research Workflows
Students will be able to create reproducible research workflows, including preregistration, data collection, manipulation checks, and transparent reporting of findings following APA Journal Article Reporting Standards (JARS).