Want to know what books Daniël Lakens recommends on their reading list? We've researched interviews, social media posts, podcasts, and articles to build a comprehensive list of Daniël Lakens's favorite book recommendations of all time.
1
Daniël LakensThis 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 https://t.co/b6gzxnzuwz (I'll return the book in 10 days if you want it) (Source)
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2
Through this book's unique model comparison approach, students and researchers are introduced to a set of fundamental principles for analyzing data. After seeing how these principles can be applied in simple designs, students are shown how these same principles also apply in more complicated designs.
Drs. Maxwell and Delaney believe that the model comparison approach better prepares students to understand the logic behind a general strategy of data analysis appropriate for various designs; and builds a stronger foundation, which allows for the introduction of more complex topics... more Through this book's unique model comparison approach, students and researchers are introduced to a set of fundamental principles for analyzing data. After seeing how these principles can be applied in simple designs, students are shown how these same principles also apply in more complicated designs.
Drs. Maxwell and Delaney believe that the model comparison approach better prepares students to understand the logic behind a general strategy of data analysis appropriate for various designs; and builds a stronger foundation, which allows for the introduction of more complex topics omitted from other books.
Several learning tools further strengthen the reader's understanding:
*flowcharts assist in choosing the most appropriate technique;
*an equation cross-referencing system aids in locating the initial, detailed definition and numerous summary equation tables assist readers in understanding differences between different methods for analyzing their data;
*examples based on actual research in a variety of behavioral sciences help students see the applications of the material;
*numerous exercises help develop a deeper understanding of the subject. Detailed solutions are provided for some of the exercises and *realistic data sets allow the reader to see an analysis of data from each design in its entirety.
Updated throughout, the second edition features:
*significantly increased attention to measures of effects, including confidence intervals, strength of association, and effect size estimation for complex and simple designs;
*an increased use of statistical packages and the graphical presentation of data;
*new chapters (15 & 16) on multilevel models;
*the current controversies regarding statistical reasoning, such as the latest debates on hypothesis testing (ch. 2);
*a new preview of the experimental designs covered in the book (ch. 2);
*a CD with SPSS and SAS data sets for many of the text exercises, as well as tutorials reviewing basic statistics and regression; and
*a Web site containing examples of SPSS and SAS syntax for analyzing many of the text exercises.
Appropriate for advanced courses on experimental design or analysis, applied statistics, or analysis of variance taught in departments of psychology, education, statistics, business, and other social sciences, the book is also ideal for practicing researchers in these disciplines. A prerequisite of undergraduate statistics is assumed. An Instructor's Solutions Manual is available to those who adopt the book for classroom use. less Daniël Lakens@annemscheel @E_conRS I think this is a great book: https://t.co/xNE85J71tm (I lent my copy to @minhappylee ) (Source)
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3
Science is continually confronted by new and difficult social and ethical problems. Some of these problems have arisen from the transformation of the academic science of the prewar period into the industrialized science of the present. Traditional theories of science are now widely recognized as obsolete. In Scientific Knowledge and Its Social Problems (originally published in 1971), Jerome R. Ravetz analyzes the work of science as the creation and investigation of problems. He demonstrates the role of choice and value judgment, and the inevitability of error, in scientific research.... more Science is continually confronted by new and difficult social and ethical problems. Some of these problems have arisen from the transformation of the academic science of the prewar period into the industrialized science of the present. Traditional theories of science are now widely recognized as obsolete. In Scientific Knowledge and Its Social Problems (originally published in 1971), Jerome R. Ravetz analyzes the work of science as the creation and investigation of problems. He demonstrates the role of choice and value judgment, and the inevitability of error, in scientific research. Ravetz's new introductory essay is a masterful statement of how our understanding of science has evolved over the last two decades. less Daniël LakensRead 'Scientific Knowledge and its Social Problems' by Jerry Ravetz (https://t.co/FwQycpiM8Z). Quote is from 2018. Just kidding. It's from 1971. Good book, great chapter on quality control in science. He is having a 90th birthday party in Oxford, 31th May! https://t.co/qzZZt6rdFH https://t.co/I8UpO7GxiH (Source)
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4
For thirty years, Peter Singer's Practical Ethics has been the classic introduction to applied ethics. For this third edition, the author has revised and updated all the chapters, and added a new chapter addressing climate change, one of the most important ethical challenges of our generation. Some of the questions discussed in this book concern our daily lives. Is it ethical to buy luxuries when others do not have enough to eat? Should we buy meat from intensively reared animals? Am I doing something wrong if my carbon footprint is above the global average? Other questions confront us as... more For thirty years, Peter Singer's Practical Ethics has been the classic introduction to applied ethics. For this third edition, the author has revised and updated all the chapters, and added a new chapter addressing climate change, one of the most important ethical challenges of our generation. Some of the questions discussed in this book concern our daily lives. Is it ethical to buy luxuries when others do not have enough to eat? Should we buy meat from intensively reared animals? Am I doing something wrong if my carbon footprint is above the global average? Other questions confront us as concerned citizens: equality and discrimination on the grounds of race or sex; abortion, the use of embryos for research, and euthanasia; political violence and terrorism; and the preservation of our planet's environment. This book's lucid style and provocative arguments make it an ideal text for university courses and for anyone willing to think about how she or he ought to live. less Daniël Lakens@CJFerguson1111 I think you'd like Singer's Practical Ethics - if nothing else it is a great book to disagree with. It nicely goes through all these arguments. Maybe other people can recommend alternative viewpoints to read - but I found this book enlightening. (Source)
Will MacAskillWhen I read it, I had already decided to study philosophy as an undergraduate, but when I read I just was so compelled by the thought that philosophical reasoning is of huge importance and can really change the world. (Source)
David EdmondsPractical Ethics came out in 1979, just before I began studying philosophy. I loved its rigour, and I found Peter Singer almost impossible to argue with. I agreed with almost every position he took on every issue. There were chapters on abortion, on animal rights, on how much money we can give to the poor. It’s really the blueprint for everything he’s written subsequently. He is prolific, but if... (Source)
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5
Since its first publication in 1976, Alan Chalmers's highly regarded and widely read work--translated into eighteen languages--has become a classic introduction to the scientific method, known for its accessibility to beginners and its value as a resource for advanced students and scholars.
In addition to overall improvements and updates inspired by Chalmers's experience as a teacher, comments from his readers, and recent developments in the field, this fourth edition features an extensive chapter-long postscript that draws on his research into the history of atomism to illustrate... more Since its first publication in 1976, Alan Chalmers's highly regarded and widely read work--translated into eighteen languages--has become a classic introduction to the scientific method, known for its accessibility to beginners and its value as a resource for advanced students and scholars.
In addition to overall improvements and updates inspired by Chalmers's experience as a teacher, comments from his readers, and recent developments in the field, this fourth edition features an extensive chapter-long postscript that draws on his research into the history of atomism to illustrate important themes in the philosophy of science. Identifying the qualitative difference between knowledge of atoms as it figures in contemporary science and metaphysical speculations about atoms common in philosophy since the time of Democritus offers a revealing and instructive way to address the question at the heart of this groundbreaking work: What is this thing called science? less Daniël LakensFinally read "What is this thing called science?" by Chalmers (overview of the book: https://t.co/4IM2YeSM2z - 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)
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6
An accessible and illuminating exploration of the conceptual basisof scientific and statistical inference and the practical impact this has on conducting psychological research. The book encourages a critical discussion of the different approaches and looks at some of the most important thinkers and their influence.
more
An accessible and illuminating exploration of the conceptual basisof scientific and statistical inference and the practical impact this has on conducting psychological research. The book encourages a critical discussion of the different approaches and looks at some of the most important thinkers and their influence.
lessDaniël LakensI 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: https://t.co/TijnmUauqW Absolutely a must read. (Source)
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7
In this instant New York Times Bestseller, Geoff Smart and Randy Street provide a simple, practical, and effective solution to what The Economist calls "the single biggest problem in business today" unsuccessful hiring. The average hiring mistake costs a company $1.5 million or more a year and countless wasted hours. This statistic becomes even more startling when you consider that the typical hiring success rate of managers is only 50 percent.
The silver lining is that "who" problems are easily preventable. Based on more than 1,300 hours of interviews with more than 20... more In this instant New York Times Bestseller, Geoff Smart and Randy Street provide a simple, practical, and effective solution to what The Economist calls "the single biggest problem in business today" unsuccessful hiring. The average hiring mistake costs a company $1.5 million or more a year and countless wasted hours. This statistic becomes even more startling when you consider that the typical hiring success rate of managers is only 50 percent.
The silver lining is that "who" problems are easily preventable. Based on more than 1,300 hours of interviews with more than 20 billionaires and 300 CEOs, Who presents Smart and Street's A Method for Hiring. Refined through the largest research study of its kind ever undertaken, the A Method stresses fundamental elements that anyone can implement-and it has a 90 percent success rate.
Whether you're a member of a board of directors looking for a new CEO, the owner of a small business searching for the right people to make your company grow, or a parent in need of a new babysitter, it's all about Who. Inside you'll learn how to
- avoid common "voodoo hiring" methods
- define the outcomes you seek
- generate a flow of A Players to your team-by implementing the #1 tactic used by successful businesspeople
- ask the right interview questions to dramatically improve your ability to quickly distinguish an A Player from a B or C candidate
- attract the person you want to hire, by emphasizing the points the candidate cares about most
In business, you are who you hire. In Who, Geoff Smart and Randy Street offer simple, easy-to-follow steps that will put the right people in place for optimal success. less Daniël Lakens@TheNewStats Thanks. I think saying the correctly used p-value needs an effect size and CI is a perfect example of the Statistician's Fallacy. Your books are great - I learned a lot from Geoff's 2012 book. But the issue is not 'is there good stuff out there' but 'how do we teach it to > (Source)
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8
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 control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple... more 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 control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification. less Daniël Lakens@hardsci @stuartbuck1 A good discussion of this is in @learnfromerror 's book on Moving Beyond the Statistics Wars. Her idea of severity as a desirable thing in statistical inferences directly relates to this point. It's interesting to think about. (Source)
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