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…
It is April 1st, 2038. Day 60 of China's blockade of the rebel island of Taiwan.
The US government has agreed to provide Taiwan with a weapons system so advanced that it can disrupt the balance of power in the region. But what pilot would be crazy enough to run…
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.
A Duke with rigid opinions, a Lady whose beliefs conflict with his, a long disputed parcel of land, a conniving neighbour, a desperate collaboration, a failure of trust, a love found despite it all.
Alexander Cavendish, Duke of Ravensworth, returned from war to find that his father and brother had…
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…
The Duke's Christmas Redemption
by
Arietta Richmond,
A Duke who has rejected love, a Lady who dreams of a love match, an arranged marriage, a house full of secrets, a most unneighborly neighbor, a plot to destroy reputations, an unexpected love that redeems it all.
Lady Charlotte Wyndham, given in an arranged marriage to a man she…
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
Tim Murray has been a leading exponent of the history and philosophy of archaeology for the past thirty years. He has used the history of the discipline to explore the nature of archaeological theory and the many complex intersections between archaeology and society. Of his many publications flowing from this general project, the award-winning global scale five-volume Encyclopedia of Archaeology,the single volume global history of Archaeology Milestones in Archaeology. Murray is a global leader in applying studies in the history of archaeology to the reform of archaeological theory. This is evidenced by the publication of a collection of his essays, From Antiquarian to Archaeologist, and his numerous academic papers on the subject.
Wylie’s philosophical journey over the past 22 years has mirrored (and in some senses helped to create) the landscape of contemporary archaeological philosophy.
Certainly Wylie’s commitment to developing an ethical and inclusive archaeology, where discussions of research agendas such as feminism should not be ruled out by the application of empiricism, has done a great deal to support the work of archaeologists also committed to those agendas.
In this long-awaited compendium of new and newly revised essays, Alison Wylie explores how archaeologists know what they know. Examining the history and methodology of Anglo-American archaeology, Wylie puts the tumultuous debates of the last thirty years in historical and philosophical perspective.
I study culture. Ever since I was little, I’ve been fascinated by what people think, feel, believe, have, and do. I’ve always wondered why people need things to be meaningful. Why do people need an explanation for why things happen that puts the meaning outside their own minds? I wanted to get beyond the need for things to be meaningful by themselves, so I began looking into meaning-making as a thing we do. Once I realized the process was infinitely more interesting and valuable, I read books like those on my list. I hope they spark you as much as they have me.
I love that Ingold uses the concept of design to explore how people make meaning and things meaningful. By bringing me through lenses such as architecture, archaeology, and art, he shows me that design is not a process of doing but of making.
When we design, we do so by constructing meaning and knowledge. The artifacts that come from my design thinking are secondary effects of the thinking and meaning-making. I love being brought into a larger point of view on the everyday activities of my own life.
Making creates knowledge, builds environments and transforms lives. Anthropology, archaeology, art and architecture are all ways of making, and all are dedicated to exploring the conditions and potentials of human life. In this exciting book, Tim Ingold ties the four disciplines together in a way that has never been attempted before. In a radical departure from conventional studies that treat art and architecture as compendia of objects for analysis, Ingold proposes an anthropology and archaeology not of but with art and architecture. He advocates a way of thinking through making in which sentient practitioners and active materials continually answer to,…
This book follows the journey of a writer in search of wisdom as he narrates encounters with 12 distinguished American men over 80, including Paul Volcker, the former head of the Federal Reserve, and Denton Cooley, the world’s most famous heart surgeon.
In these and other intimate conversations, the book…
When I applied to college, I thought I’d study science and pursue my passions for art and justice separately. Then, I went to Kenya for my first excavation and found that archaeology combined my love for storytelling, data analysis, and making the world a better, safer, more inclusive place. As much as I love movies like Indiana Jones and Lara Croft, I never saw myself in them. They just don’t capture what I love about archaeology! Now, my research—like this list—is dedicated to really understanding what makes archaeology so compelling, so rewarding, and most capable of telling nuanced stories that make us think differently about our past.
I was still seeking examples of creative, fun writing in archaeology that captured some of the heart and joy of archaeological fieldwork when I encountered this humorous murder mystery-cum-archaeological methods textbook.
Reading it, I learned a lot about research design, different decisions archaeologists make while working, and various social and financial pressures that might impact the pace and approach of a project. But it’s also packed with silliness and dad jokes.
I still text inside jokes with people I excavated with more than a decade ago; this book captures both the complexities of doing archaeology as well as the inevitable goofiness that arises out of living, digging, and sweating with a group of people for weeks or months.
Dr. Hannah Green-heroine of Praetzellis's textbook-as-novel Death by Theory-has really gotten herself into trouble this time. The spunky archaeologist has been asked to manage the contract archaeology project at a historic site in New Zealand when the regular archaeological staff of University of Invercargill abruptly dies off. On the scene, Hannah discovers she needs to teach her team about research design, survey methods, archival research, professional ethics, curation, and especially field safety, if they are to complete the contract before young Mr. Wallace levels the site in favor of a golf course. With a cast of characters that includes Missy-Jojo-the-Dog-Faced-Girl…
