Here are 100 books that A Student's Guide to Open Science fans have personally recommended if you like
A Student's Guide to Open Science.
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I am the Fletcher Jones Professor of Economics at Pomona College. I started out as a macroeconomist but, early on, discovered stats and stocks—which have long been fertile fields for data torturing and data mining. My book, Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics is a compilation of a variety of dubious and misleading statistical practices. More recently, I have written several books on AI, which has a long history of overpromising and underdelivering because it is essentially data mining on steroids. No matter how loudly statisticians shout correlation is not causation, some will not hear.
Ritchie was part of a team that attempted to replicate a famous study led by a prominent psychologist, Daryl Bem, claiming that people did better on a word memorization test if they studied the words after taking the test.
Ritchie and his co-authors attempted to replicate this study and found no evidence supporting Bem’s claim. This is but one example of a scientific crisis in that attempts to replicate influential studies published in top peer-reviewed journals fail nearly half the time. Ritchie explains and illustrates the reasons for the current replication crisis in science.
An insider’s view of science reveals why many scientific results cannot be relied upon – and how the system can be reformed.
Science is how we understand the world. Yet failures in peer review and mistakes in statistics have rendered a shocking number of scientific studies useless – or, worse, badly misleading. Such errors have distorted our knowledge in fields as wide-ranging as medicine, physics, nutrition, education, genetics, economics, and the search for extraterrestrial life. As Science Fictions makes clear, the current system of research funding and publication not only fails to safeguard us from blunders but actively encourages bad…
I gradually shifted my statistics teaching from significance testing — traditional but bamboozling — to estimation (confidence intervals), which I called "the new statistics" because, although not new, relying on it would, for many researchers, be very new. It’s more informative, makes sense, and is a pleasure to teach and use. I "retired" to write Understanding the New Statistics. Then Open Science arrived—hooray! Robert Calin-Jageman joined me for an intro textbook with Open Science and The New Statistics all through. Our first edition came out in 2017. The second edition has wonderful new open-source software (‘esci’), which is also ideal for more advanced students and researchers. Enjoy!
You may have heard of ‘significance testing,’ and the magical ‘p < .05,’ which somehow makes a research result ‘significant,’ which is often taken as (almost) ‘true.’ Even if you haven’t heard of all that, Kline explains clearly why significance testing has been disastrous for science, leading to misleading conclusions and much valuable research not even being reported.
He draws on my work to explain how ‘the new statistics’ (estimation) is a much better way to understand results. The first chapter is fairly easy to read. Later chapters are also terrific but get more technical as Kline explains lots of ways to do things better. As I’m quoted on the back cover, “Read this book and see the future!” Happily, the future is increasingly looking as Kline recommended.
Traditional education in statistics that emphasises significance testing leaves researchers and students ill prepared to understand what their results really mean. Specifically, most researchers and students who do not have strong quantitative backgrounds have difficulty understanding outcomes of statistical tests.
As more and more people become aware of this problem, the emphasis on statistical significance in the reporting of results is declining. Increasingly, researchers are expected to describe the magnitudes and precisions of their findings and also their practical, theoretical, or clinical significance.
This accessibly written book reviews the controversy about significance testing, which has now crossed various disciplines as…
I gradually shifted my statistics teaching from significance testing — traditional but bamboozling — to estimation (confidence intervals), which I called "the new statistics" because, although not new, relying on it would, for many researchers, be very new. It’s more informative, makes sense, and is a pleasure to teach and use. I "retired" to write Understanding the New Statistics. Then Open Science arrived—hooray! Robert Calin-Jageman joined me for an intro textbook with Open Science and The New Statistics all through. Our first edition came out in 2017. The second edition has wonderful new open-source software (‘esci’), which is also ideal for more advanced students and researchers. Enjoy!
Yes, this is a textbook, but if you are seeking a research design and methods text for psychology or a related discipline, this is easily my top choice.
There are lots of references to topical stories to keep everything relevant for students. There’s a truckload of valuable stuff online to support both teachers and learners. This fourth edition is right up-to-the-moment, Chapter 3 especially so, as it explains three types of scientific claims, and four types of validity that researchers should aim to achieve. That may sound forbidding, but Morling’s examples and explanations are pleasingly accessible.
Featuring an emphasis on future consumers of psychological research and examples drawn from popular media, Research Methods in Psychology: Evaluating a World of Information develops students' critical-thinking skills as they evaluate information in their everyday lives. The Fourth Edition of this best-selling text takes learning to a new level for both consumers and producers by offering new content, interactive learning, and online assessment to help them master the concepts.
I gradually shifted my statistics teaching from significance testing — traditional but bamboozling — to estimation (confidence intervals), which I called "the new statistics" because, although not new, relying on it would, for many researchers, be very new. It’s more informative, makes sense, and is a pleasure to teach and use. I "retired" to write Understanding the New Statistics. Then Open Science arrived—hooray! Robert Calin-Jageman joined me for an intro textbook with Open Science and The New Statistics all through. Our first edition came out in 2017. The second edition has wonderful new open-source software (‘esci’), which is also ideal for more advanced students and researchers. Enjoy!
Another research design textbook, this one more specifically about neuroscience. My co-author, neuroscientist Robert Calin-Jageman, highly recommends it.
This third edition has clear and up-to-date discussions of issues such as phacking and publication bias that emphasise the need for Open Science. There’s a focus on effect sizes and confidence intervals, as in the new statistics. The book also describes strategies needed to enhance the rigor and reproducibility of neuroscience research.
Using engaging prose, Mary E. Harrington introduces neuroscience students to the principles of scientific research including selecting a topic, designing an experiment, analyzing data, and presenting research. This new third edition updates and clarifies the book's wealth of examples while maintaining the clear and effective practical advice of the previous editions. New and expanded topics in this edition include techniques such as optogenetics and conditional transgenes as well as a discussion of rigor and reproducibility in neuroscience research. Extended coverage of descriptive and inferential statistics arms readers with the analytical tools needed to interpret data. Throughout, practical guidelines are provided…
I’ve always loved unreliable narrators and how they place us as readers into the role of detectives, piecing the "truth" of a story together. The narrators I’ve picked below vary in their intent: some deliberately deceive, and others do so unconsciously or through omission. In several, the twist hinges on the use of an unreliable narrator, while in others, narrative unreliability poses a moral dilemma for the reader. In a few, an added layer of unreliability emerges: the narrator’s perception is distorted by technology. In an age of AI, simulations, and deep fakes, the unreliable narrator is arguably more needed than ever, holding a mirror up to the unreliability of our own world.
I find it interesting when first-person unreliable narrators pose a moral dilemma for the reader: how far we sympathise with a character who may or may not be culpable of a crime.
From the very opening of the novel, we are told, "Tonight will be my first night under house arrest." Ruth Ardingly has just been released from prison to serve out a sentence of house arrest for arson and suspected murder (after the death of her seven-year-old grandson) at her farm, The Well. Returning to The Well, Ruth must piece together the tragedy that shattered her marriage and tore her family apart, amid the backdrop of a drought-ridden country, where, miraculously, The Well has water.
The novel is told retrospectively by Grandmother Ruth, whose narrative reliability is impacted by both memory and grief.
AN OBSERVER NEW FACE OF FICTION 2015 A HUFFINGTON POST 'ONE TO WATCH IN 2015'
LONGLISTED FOR THE CWA JOHN CREASEY (NEW BLOOD) DAGGER 2015
'I was gripped by Catherine Chanter's The Well immediately. The beauty of her prose is riveting, the imagery so assured. This is an astonishing debut' Sarah Winman, author of When God was a Rabbit
'I loved this book!' JESSIE BURTON, author of The Miniaturist
When Ruth Ardingly and her family first drive up from London in their grime-encrusted car and view The Well, they are enchanted by a…
I am proud to be a human (social) scientist but think that we could collectively achieve a much more successful human science enterprise. And I believe that a better human science would translate into better public policy. Most human scientists focus on their own research, paying little attention to how the broader enterprise functions. I have written many works of a methodological nature over the years. I am pleased to point here to a handful of works with sound advice for enhancing the human science enterprise.
Though this book focuses on psychology, it has lessons for all social sciences.
Chambers, like me, is critical of certain practices and yet deeply respectful of what has been accomplished. He devotes much of his attention to the problem of confirmation bias. We as humans are more likely to accept results that conform to prior beliefs.
Journals are also more likely to publish such results. Scholars play with their findings, adding or removing data points to achieve a target level of statistical significance. The result is that we are often more confident in scholarly consensus than we should be. Chambers explains complex ideas clearly, and is passionate about the need for reform.
Why psychology is in peril as a scientific discipline-and how to save it
Psychological science has made extraordinary discoveries about the human mind, but can we trust everything its practitioners are telling us? In recent years, it has become increasingly apparent that a lot of research in psychology is based on weak evidence, questionable practices, and sometimes even fraud. The Seven Deadly Sins of Psychology diagnoses the ills besetting the discipline today and proposes sensible, practical solutions to ensure that it remains a legitimate and reliable science in the years ahead. In this unflinchingly candid manifesto, Chris Chambers shows how…
While growing up as a budding intellectual, two of my passions were social science (in other words, politics), and natural science, particularly biology. For decades, I thought of those as two unconnected fields of knowledge. I studied politics in my professional capacity as a government professor, and I read nature and wildlife studies as a hobby. Then, one day in 2000, I picked up a copy of a book by Stephen J. Gould, a Harvard paleontologist. It struck me that in every sentence he was combining science and politics. It was an on-the-road-to-Damascus moment. Since then, I have studied and written about the politics of evolution.
A Marxist critique of evolutionary biology, authored by a geneticist, a neuroscientist, and a psychologist. From a perspective about as far from the viewpoint of creationists as it is possible to get, these three scholars argue that the philosophical assumptions, methodology, and social organization of modern biology add up to a politically conservative conspiracy reinforcing capitalism, racism, classism, and misogyny. Although their attack is general, it is most specifically aimed at intelligence testing, which, they argue, is shoddy science in the service of racist ideology.
Not in our Genes systematically exposes and dismantles the claims that inequalities class, race, gender are the products of biological, genetic inheritances. 'Informative, entertaining, lucid, forceful, frequently witty... never dull... should be read and remembered for a long time.' - New York Times Book Review. 'The authors argue persuasively that biological explanations for why we act as we do are based on faulty (in some cases, fabricated) data and wild speculation... It is debunking at its best.' - Psychology Today
I’m a professor of psychology at Occidental College, where I direct the Thinking Lab. I hold degrees in psychology from Princeton and Harvard and have published several dozen scholarly articles on conceptual development and conceptual change. I’m interested in how people acquire new concepts and form new beliefs, especially within the domains of science and religion. My research investigates intuitions that guide our everyday understanding of the natural world and strategies for improving that understanding.
Science has revolutionized the way we live and the way we understand reality, but what accounts for its success? What method sets science apart from other forms of inquiry and ensures that it yields ever-more accurate theories of the world? Strevens argues that the scientific method is not a special kind of logic, like deriving hypotheses from first principles or narrowing hypotheses through falsification, but a simple commitment to arguing with evidence. Strevens shows, with historical case studies, how this commitment is seemingly irrational, as it provides no constraints on what counts as evidence or how evidence should be interpreted, but also incredibly powerful, fostering ingenuity and discovery.
* Why is science so powerful? * Why did it take so long-two thousand years after the invention of philosophy and mathematics-for the human race to start using science to learn the secrets of the universe?
In a groundbreaking work that blends science, philosophy, and history, leading philosopher of science Michael Strevens answers these challenging questions, showing how science came about only once thinkers stumbled upon the astonishing idea that scientific breakthroughs could be accomplished by breaking the rules of logical argument.
Like such classic works as Karl Popper's The Logic of Scientific Discovery and Thomas Kuhn's The Structure of…
Jasper Becker is a foreign correspondent who spent decades reporting on China and the Far East. His the author of numerous books including Hungry Ghosts – Mao’s Secret Famine, Rogue Regime – Kim Jong Il and the looming threat of North Korea, City of Heavenly Tranquillity, and most recently Made in China – Wuhan, COVID and the Quest for Biotech Supremacy.
This book written in 1922 by the Austrian economist at the University of Vienna is one of the few truly foundational works in political economy. Mises takes apart the theory of the Marxist moneyless planned economy which Lenin and then Stalin tried to apply to the Soviet Union. Mises lucidly explains why not only that it could never work but would lead to catastrophic and unending shortages, dictatorship, repression, and arbitrary rule enforced by a militarized one-party state. Although Mises had no knowledge of China, it is the best book to read in order to understand what happened in China in the 20th century.
First published in German in 1933 and in English in 1960, Epistemological Problems of Economics presents Ludwig von Mises’s views on the logical and epistemological features of social interpretation as well as his argument that the Austrian theory of value is the core element of a general theory of human behavior that transcends traditional limitations of economic science.
This volume is unique among Mises’s works in that it contains a collection of essays in which he contested the theories of intellectuals he respected such as Carl Menger, Eugen von Böhm-Bawerk, and Max Weber. Mises describes how value theory applies to…
As a professional, scientific researcher in astrophysics and philosopher, I have been observing many unfair situations in science: hard-working, talented scientists with bright and challenging ideas who get no attention and bureaucrats or administrators of science (I call them “astropolitics” within my field of research) who have no talent, have neither time nor interest to think about science, and however are visible as the most eminent scientists of our time.
A classical book on anarchy within science. I find the proposed pluralist approach as the right way to avoid the monopolies of truth in present-day science. Feyerabend identified science as an ideology, which I might have found exaggerated and difficult to understand when I started to study science, but I understand it much better now, after 30 years of working as a researcher.
Forgetting about the relativism implicit in his proposal, focusing on the sociological aspect, I think there are many good and brave observations there that can enlighten us.
Contemporary philosophy of science has paid close attention to the understanding of scientific practice, in contrast to the previous focus on scientific method. Paul Feyerabend's acclaimed work, which sparked controversy and continues to fuel fierce debate, shows the deficiencies of many widespread ideas about the nature of knowledge. He argues that the only feasible explanation of any scientific success is a historical account, and that anarchism must now replace rationalism in the theory of knowledge. This updated edition of this classic text contains a new foreword by Ian Hacking, a leading contemporary philosopher of science, who reflects on Feyerabend's life…
