Experimental Research Design and Analyses

About

This dual-focused program is designed to equip participants from various disciplines (behavioral economics, management, medicine, health science, communication, marketing) with the necessary skills 1) to conduct rigorous experimental research and 2) to analyze data from various experimental designs. Against the backdrop of actual examples from practice and academia, each module of the course centers around a specific experimental design. Participants will learn how to improve these experimental designs and to conduct the appropriate data analysis techniques. The curriculum covers a diverse range of designs and corresponding analyses, including moderation, mediation, spotlight analyses, co-variate analyses, and logit. Participants will acquire a nuanced understanding of these techniques, their application in research, and learn how to report their findings in an academic article. A part of the course will be devoted to ethical considerations in experimental research, addressing contemporary concerns in research integrity

Course leader

Femke van Horen from Vrije Universiteit Amsterdam, the Netherlands

Target group

The GSERM Global School in Empirical Research Methods is a high-calibre programme dedicated to teaching cutting-edge research methodology. We not only welcome PhD students, post-docs, and graduate students from all kinds of fields, but also professionals working outside of academia.

Prerequisites (knowledge of topic)
Prior knowledge of quantitative research methods is required. Basic knowledge of SPSS, or willingness to learn SPSS individually

Course aim

After the successful completion of this course, participants will:

- be well-equipped to design, conduct, and analyze experiments in a rigorous and informed manner,
- understand how to update and improve their experiments and develop their skills in critically evaluating experimental research,
- be able to run the appropriate analysis depending on the chosen experimental design,
- understand the principles and the logic of the following statistical techniques: Regression, Analysis of Variance, Analysis of Covariance, Contrast Analysis, Mediation Analysis, Moderation Analysis, Logit,
- understand issues related to statistical power and effect size and ethical considerations in experimental research,
- interpret the data of a wide range of experiments and report the results in a scientific paper

Fee info