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Daniël Lakens's Top Book Recommendations

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

Theory Building

Recommended by Daniël Lakens, and 1 others.

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

Designing Experiments and Analyzing Data

A Model Comparison Perspective

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...
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Recommended by Daniël Lakens, and 1 others.

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
Recommended by Daniël Lakens, and 1 others.

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

Practical Ethics

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

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

What Is This Thing Called Science?

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...
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Recommended by Daniël Lakens, and 1 others.

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.
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Recommended by Daniël Lakens, and 1 others.

Daniël 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

Who

The A Method for Hiring

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...
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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)

Matthieu David-ExpertonVery useful book on recruitment. (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
Recommended by Daniël Lakens, and 1 others.

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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