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.
12 books on the list
Latest Recommendations First
All researchers want to produce interesting and influential theories. A key step in all theory development is formulating innovative research questions that will result in interesting and significant research. Traditional textbooks on research methods tend to ignore, or gloss over, actual ways of constructing research questions. In this text, Alves...
Greatly enjoyed the book "Constructing Research Questions: Doing Interesting Research": (you might have free access through your library). Asking problematizing questions (see table) (instead of 'gap-spotting' questions) is something worthwhile to teach. – source
Daniël LakensApr 04, 2021
Slightly less directly, but still something that pops up as I use social media, is David Eggers' 2013 book The Circle. A bit more extreme (it is fiction) but it has great sections that will make you self-reflect. – source
Daniël LakensMar 22, 2021
As we are on this topic, one book that changed my action on social media more than any other was reading Jon Ronson's "So You've Been Publicly Shamed" - highly recommended - if you have any other recommendations, would love to hear them. – source
Daniël LakensMar 22, 2021
Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and Kelley first apply fundamental principles to simple experimental designs followed by an application of the same principles to more complicate...
@dsquintana Both are great, but that book by Maxwell Delaney and Kelley is really 💯- it keeps giving and I have learned *so* much from it. – source
Daniël LakensMar 04, 2021
Greatly enjoyed Lindley's book on uncertainty in early quantum theory. It makes you understand why philosophers of science so often use examples from this time. Very educational. – source
Daniël LakensDec 21, 2020
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
John Gerring's exceptional textbook has been thoroughly revised in this second edition. It offers a one-volume introduction to social science methodology relevant to the disciplines of anthropology, economics, history, political science, psychology and sociology. This new edition has been extensively developed with the introduction of new material ...
This book by Gerring on Social Science Methodology was a lovely read - the first part is an opinionated view on concept formation and creating a solid argument, the second part is an excellent overview of causality - all sections are too rarely taught! – source
Daniël LakensMar 09, 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
Finally read "What is this thing called science?" by Chalmers (overview of the book: - pdf is a search away). If you want to learn about philosophy of science, you can't go wrong starting here. Very clear, and a great choice of topics. – source
Daniël LakensJan 26, 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
The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other f...
It is very regrettable this is only available as a book - but it is one of the best (most balanced) discussions on pros and cons of hypothesis testing out there. I had seen the book years ago, and should have read it cover to cover then. Highly recommended. – source
Daniël LakensSep 18, 2018
Theory Construction and Model-Building Skills, Second Edition by James Jaccard