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.
19 books on the list
Latest Recommendations First
The Logic of Scientific Discovery
Explore the groundbreaking ideas behind scientific discovery in this book by a renowned philosopher of science. Discover a revolutionary understanding of the logical character of scientific breakthroughs, paying homage to the impact of the Einsteinian revolution in physics. Don't miss out on a first-rate contribution to the logic of scientific method, including a captivating analysis of the Indeterminacy Principle in quantum mechanics. Ready to be stimulated and inspired? Dive into this classic work that is sure to be bed-rock for future research.
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
Field experimentation, quasi-experimental designs, nonequivalent control groups designs, and regression-discontinuity designs. With updated information and examples, this book is a must-read for those interested in causal inference in the field.
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
Logic of Statistical Inference
This book delves deep into the fundamental principles of statistical reasoning and explores their philosophical and practical implications for statisticians. Written by Ian Hacking, the author's ideas are presented in a fresh, modern style and are just as relevant today as they were when first published. With a new preface by Jan-Willem Romeijn, this influential work is a must-read for those interested in the philosophy of statistical inference.
@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
Statistical Inference as Severe Testing
How to Get Beyond the Statistics Wars
This book explores the importance of critically appraising proposed reforms in science, especially in light of mounting failures of replication. It delves into disagreements between experts, rejecting two common views surrounding the role of probability in inference. By providing a simple tool for ruling out flaws in inferring a claim, the book challenges many methods advocated by data experts. Through philosophical tools, it examines the history of inductive inference to solve problems about science and pseudoscience, induction, and falsification.
@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
Learn about the life and contributions of Jerzy Neyman, a major figure in the development of statistics. In this book, author Constance Reid explores Neyman's role in the creation of modern statistics. Written for both professional statisticians and those with a general interest in the subject, this read sheds light on a topic that touches almost every aspect of life today.
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
Science, Policy, and the Value-Free Ideal
This book delves into the role of science in policymaking and explores the idea that science should be "value-free." The author argues that a new ideal is needed in which values play an essential function throughout scientific inquiry, but are constrained to protect the objectivity of science. Through a philosophical analysis, the book defines how and when values should function in science and outlines seven senses of objectivity. The author then uses these insights to clarify the distinction between junk science and sound science in policymaking. The book concludes by calling for greater openness and public participation in the policymaking process.
@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
Constructing Research Questions
Doing Interesting Research
"Constructing Research Questions" by Mats Alvesson and Sandberg provides a unique approach to formulating innovative research questions that can lead to influential theories. While traditional research methods tend to overlook constructing research questions, the authors provide a problematization methodology for identifying and challenging assumptions underlying existing theories. Through practical examples across various social sciences, readers are shown how to think beyond 'gap-spotting' techniques and create novel research questions that challenge existing theories and produce imaginative empirical studies. This book is a must-read for any researcher looking to formulate interesting and novel research questions.
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
Experience the exhilarating new novel from a bestselling author that explores themes of ambition, idealism, and the limits of human knowledge. When Mae Holland joins the world's most powerful internet company, she feels like she's hit the jackpot. The Circle links every aspect of users' lives into one online identity, creating a new age of civility and transparency. Mae is thrilled with the company's modernity and can't believe her luck to work for the most influential company in the world. But as she becomes increasingly public in her role, her life beyond the campus grows distant, and a strange encounter with a colleague leaves her shaken. This heart-racing novel raises questions about memory, privacy, democracy, and the history of our personal lives.
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
Also recommended byOlivia WildeAlison BrieJay ShettyTobias Van Schneider
So You've Been Publicly Shamed
This captivating exploration delves into one of our world's most underappreciated forces: shame. The author, Jon Ronson, has traveled the world meeting people who have been publicly shamed, often because of a small mistake or joke gone wrong on social media. Ronson examines the terrifying power of collective outrage and the escalating war on human flaws, and raises important questions about justice, democracy, and social control. A powerful and honest book that exposes the very scary part we all play in this cultural phenomenon.
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
Also recommended byMax RushdenGeoffrey MillerTim Soret
Designing Experiments and Analyzing Data
A Model Comparison Perspective, Third Edition
"Designing Experiments and Analyzing Data" offers an integrative conceptual framework for understanding experimental design and data analysis. The book applies fundamental principles to simple and complicated experimental designs, preparing readers for a wide variety of designs. It features numerous pedagogical features to facilitate understanding, including examples of published research and extensive sets of exercises. The book and its companion website are perfect for students and researchers who want to optimize their study designs and data analysis.
@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
Serious Stats by Thom Baguley
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
What Is This Thing Called Science? by Alan F. Chalmers
What If There Were No Significance Tests? by Lisa L. Harlow
Theory Building by Robert Dubin