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Beyond null-hypothesis testing

  • 19 - 21 August 2024
  • Utrecht
  • Methodology
  • 1.5 ECTS

This tree-day course teaches skills for informative and transparent evaluation of theory-based hypotheses using p-values, information criteria, and Bayes factors.

Participants will learn to apply open-science principles and cutting-edge statistical techniques that ensure maximally informative analyses. Contemporary issues – such as publication bias, questionable research practices, the statistical evaluation of (non-null) hypotheses, and methods for evaluating the same research question with multiple (replication) studies – are also addressed. The course will be non-technical in nature and is targeted at PhD students and researchers who want to apply the presented approaches to their own data.

The evaluation of hypotheses is a core feature of research in the behavioural, social, and biomedical sciences. Over the last decade, the replication crisis has drawn a lot of attention to high rates of false-positive results of hypothesis tests in the literature, caused by problems such as publication bias (selective publication of positive results), ‘questionable research practices’, and statistical misconceptions. This course will give participants a non-technical introduction to the theoretical basis of hypothesis evaluation from different perspectives (frequentist, information theoretic, and Bayesian,) and teach how to apply hypothesis evaluation appropriately to avoid fooling oneself and others.

The course is targeted at students and researchers who want to improve their understanding of how to evaluate theory-based hypotheses.

  • Utrecht University