Daniël Lakens

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.

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.

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.

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.

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.

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.

"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.

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.

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.

"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.