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.
18 books on the list
Latest Recommendations First
I am willing to bet that if we are talking about how to test theories (which many people in my field claim to so) and if they could read only 1 book, would improve more by reading The Logic of Scientific Discovery than by any other book. – source
This long awaited successor of the original Cook/Campbell Quasi-Experimentation: Design and Analysis Issues for Field Settings represents updates in the field over the last two decades. The book covers four major topics in field experimentation:...
If this short overview caught your interest, the next thing to read is this classic: This is really a must read on epistemology, philosophy, validity, and inference. It's a big book, but you'll get a lot out of it! – source
One of Ian Hacking's earliest publications, this book showcases his early ideas on the central concepts and questions surrounding statistical reasoning. He explores the basic principles of statistical reasoning and tests them, both at a philosophical level and in terms of their practical consequences for statisticians. Presented in a fresh twenty-f...
@Ilanim67 The logicof statistical inference by Ian Hacking is a good book to start - I think there is quite some room for improving his discussion of the Neyman Pearson approach, but a great start. – source
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to contr...
@seanpmackinnon @quantitudepod Thanks!! Yes, Mayo's book is great - it really gives you a very solid basis to start to make sense of what we are doing in science when we make statistical inferences. – source
Jerzy Neyman (1894-1981) was one of the major figures in the development of statistics. Constance Reid, the noted biographer of Hilbert and Courant, describes his role in the development of modern statistics. This book will appeal to the professional statistician as well as the layman who wishes to learn something about a subject that permeates alm...
I have reached the point where reading a biography of Jerzy Neyman (by Constance Reid has become such a page-turner I have trouble putting the book down. Please send help. But also: it is a super-interesting story. Forget The Chair on Netflix, read this! – source
The role of science in policymaking has gained unprecedented stature in the United States, raising questions about the place of science and scientific expertise in the democratic process. Some scientists have been given considerable epistemic authority in shaping policy on issues of great moral and cultural significance, and the politicizing of the...
@Acertaintom Read this 3 months ago while preparing a grant proposal that dealt with the value of research - great book - several of her journal articles are also very nice. Enjoy! – source
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
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
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
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
What If There Were No Significance Tests? by Lisa L. Harlow
What Is This Thing Called Science? by Alan F. Chalmers
Social Science Methodology by John Gerring
Introduction to Meta-Analysis by Michael Borenstein
Understanding Psychology as a Science by Zoltan Dienes
Uncertainty by David Lindley
Theory Building by Robert Dubin