Daniel Lakens is an Assistant Professor in the Human-Technology interaction group at Eindhoven University of Technology (TU/e). His areas of expertise include behavioral synchrony, research methods and applied statistics. Daniel’s main lines of empirical research focus on conceptual thought, similarity, and meaning. He also focuses on how to design and interpret studies, applied (meta)-statistics, and reward structures in science. A large part of his work deals with developing methods for critically reviewing and optimally structuring studies.
Daniel has a background in experimental psychologist and received his PhD from Utrecht University in 2010. Daniel’s research is funded by an NWO VIDI grant for a project that aims to improve the reliability and efficiency of psychological science. He has also convinced NWO to start a pilot project with grants dedicated to replication research.
He teaches an online MOOC on ‘Improving Your Statistical Inferences’, and won a TU/e Teacher of the Year award in 2014. He has given over 40 workshops on open science and improving research practices, co-edited a special issue consisting of pre-registered replication studies with Brian Nosek.
Statistical power of clinical trials increased while effect size remained stableJournal of Clinical Epidemiology (2018)
Two experience sampling studies examining the variation of self-control capacity and its relationship with core affect in daily lifeJournal of Research in Personality (2018)
Justify your alphaNature Human Behaviour (2018)
When power analyses based on pilot data are biasedJournal of Experimental Social Psychology (2018)
Predicting context-dependent cross-modal associations with dimension-specific polarity attributionsCollabra: Psychology (2018)
- Advanced research methods and research ethics
- Automotive human factors
- Introduction Psychology and Technology
- Human factors
- Behavorial and social theories of HTI (homologation course)
- Behavioral and social theories of human technology interaction
- Workshops in Statistics, Research Methods, and Research Ethics, ZZP