Daniel Lakens is an Associate Professor in the Human-Technology interaction group at Eindhoven University of Technology (TU/e). His areas of expertise include meta-science, 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.
3 books on the list
Latest Recommendations First
This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis Outlines the role of...
@AV_SP As long as you have 2 groups, F = t*t. I would recommend reading Borenstein's book on meta-analysis if you are doing it for the first time and use metafor in R. – source
Daniël LakensDec 16, 2020
This is a dual appreciation tweet of 1) The book Theory Building by Dubin from 1969, which I highly recommend reading, and 2) the fact I could borrow it for free online from @internetarchive which is amazing (I'll return the book in 10 days if you want it) – source
Daniël LakensFeb 24, 2020
I highly recommend reading Zoltan Dienes' book on Understanding Psychology as a Science (also for non-psych!). One of the best books on philosophy of science, falsification, and different approaches to statistics: Absolutely a must read. – source
Daniël LakensMay 11, 2019