Here are 100 books that The Design of Experiments in Neuroscience fans have personally recommended if you like
The Design of Experiments in Neuroscience.
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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!
Charlotte Pennington eagerly started her PhD but became anxious and depressed when her experiments "didn’t work’" and were refused publication. She read about the replication crisis — many published studies won’t replicate—and Open Science. Soon, it was her passion to teach about Open Science and what’s needed to achieve efficient research and trustworthy research literature.
The result is A Student’s Guide to Open Science. It’s short, clear, and highly readable. She’s well-informed and covers the story in engaging detail. There are practical guides to using Open Science practices and numerous links to follow as you wish. Statistical issues are mentioned but are not her focus.
"Dr Charlotte R. Pennington has pulled off a remarkable trifecta of being clear, concise, and comprehensive in covering the origins of the open science movement and practical advice for adopting the behaviors"
Professor Brian Nosek, Executive Director, Center for Open Science; University of Virginia, US
"My hope is that every psychology student will finish their degree with a heavily annotated, well-thumbed copy of this important and timely book!"
Dr Madeleine Pownall, University of Leeds, UK
"This book should be on the reading list for all university science degrees and on all library bookshelves. It is concise, accessible, and remarkably interactive,…
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…
I am passionate about bringing back to life persons from the past who have been forgotten, misunderstood, or even deliberately mischaracterized. In order to get to the truth, there are a host of myths that must be shattered or discarded. Most of the histories that I have written have done precisely this–showing the fallacy of familiar myths and discovering the hidden truths about people and events that have been distorted, often by some of the most popular literature. In order to achieve these results, I have had to spend years in “boring” archives in order to reveal people and events that are never boring.
I was fascinated by Foster’s detective work in literary history–searching for the actual authors of poems, political novels, and proclamations, the authors of which had always been considered “anonymous.” Using a variety of ingenious methods, Foster tracks down the persons behind mysterious documents ranging from the Unabomber’s threats to “The Night Before Christmas.”
I loved Foster’s wry and sometimes caustic sense of humor, especially when he is skewering the “experts” whom he proves to be wrong. This book is, quite simply, great fun for the intellectually curious.
From the professor who invented literary forensics--and fingered Joe Klein as the author of Primary Colors--comes the inside story of how he solves his most challenging cases
Don Foster is the world's first literary detective. Realizing that everyone's use of language is as distinctive as his or her DNA, Foster developed a revolutionary methodology for identifying the writer behind almost any anonymous document. Now, in this enthralling book, he explains his techniques and invites readers to sit by his side as he searches a mysterious text for the clues that whisper the author's name. Foster's unique skills first came to…
Christopher Goscha first fell in love with world history while reading Fernand Braudel's La Méditerranée in graduate school in France and doing research for his PhD in Southeast Asia. He is currently a professor of international relations at the Université du Québec à Montréal where he teaches world history and publishes on the wars for Vietnam in a global context. He does this most recently in his forthcoming book entitled The Road to Dien Bien Phu: A History of the First Vietnam War.
So, what, exactly is this ‘world’ or ‘global history’? Authors slap the two words on their books, universities offer new courses in it, and government officials across the planet now speak of ‘global this’ and ‘global that’. One could be forgiven for throwing up one’s hands in exasperation for failing to understand what exactly these two words mean. That is until Sebastian Conrad published this gem of a book aptly entitled: What is Global History? Yes, it’s a bit academic, but it’s also clearly written, logically organized, and succeeds brilliantly in explaining what global history is and is not without losing the reader in theoretical jargon. If you want to try something beyond the ‘nation’ and ‘empire’, Conrad’s global history is a great place to start.
Until very recently, historians have looked at the past with the tools of the nineteenth century. But globalization has fundamentally altered our ways of knowing, and it is no longer possible to study nations in isolation or to understand world history as emanating from the West. This book reveals why the discipline of global history has emerged as the most dynamic and innovative field in history--one that takes the connectedness of the world as its point of departure, and that poses a fundamental challenge to the premises and methods of history as we know it. What Is Global History? provides…
Kees van der Pijl was lecturer at the University of Amsterdam and professor of International Relations at the University of Sussex in the UK. He retired in 2012. At Sussex he was head of department and director of the Centre for Global Political Economy. Besides democracy and anti-war activism he continues to write on transnational classes and policy networks, including the role of “deep politics”.
As the attack on democracy in the West has come to include the grip of Big Pharma on public health programmes and on bodies like the World Health Organization, the covert dimensions of how this influence is being exercised have also come under scrutiny.
With a foreword by Robert F. Kennedy Jr. highlighting the fate of successive critics of medical misconduct, one of the most vocal of these critics and her co-author offer a shocking account of the repression they faced.
Passionate, personal, and highly revealing about the risks one takes by speaking out on the basis of facts.
#1 on Amazon Charts, New York Times Bestseller, USA Today Bestseller-Over 100,000 Copies in Print!
"Kent Heckenlively and Judy Mikovits are the new dynamic duo fighting corruption in science." -Ben Garrison, America's #1 political satirist
Dr. Judy Mikovits is a modern-day Rosalind Franklin, a brilliant researcher shaking up the old boys' club of science with her groundbreaking discoveries. And like many women who have trespassed into the world of men, she uncovered decades-old secrets that many would prefer to stay buried.
From her doctoral thesis, which changed the treatment of HIV-AIDS, saving the lives of millions, including basketball great Magic…
I am passionate about bringing back to life persons from the past who have been forgotten, misunderstood, or even deliberately mischaracterized. In order to get to the truth, there are a host of myths that must be shattered or discarded. Most of the histories that I have written have done precisely this–showing the fallacy of familiar myths and discovering the hidden truths about people and events that have been distorted, often by some of the most popular literature. In order to achieve these results, I have had to spend years in “boring” archives in order to reveal people and events that are never boring.
When I recommended this book to a petroleum geologist, he later told me that it was probably the best book he had ever read–and he understood for the first time what historians actually do (and parenthetically, why the closest field to history in methodology is, in fact, geology).
I’ve also seen undergraduate students come alive intellectually by reading these lectures, given at Oxford by Gaddis as a visiting professor. They are full of remarkable insights into everything from human psychology to fractal geometry. Every chapter is an intellectual feast, showing the vast variety of the historian’s sources and methods.
What is history and why should we study it? Is there such a thing as historical truth? Is history a science? One of the most accomplished historians at work today, John Lewis Gaddis, answers these and other questions in this short, witty, and humane book. The Landscape of History provides a searching look at the historian's craft, as well as a strong argument for why a historical consciousness should matter to us today. Gaddis points out that while the historical method is more sophisticated than most historians realize, it doesn't require unintelligible prose to explain. Like cartographers mapping landscapes, historians…
As a professional statistician, I am naturally interested in AI and data science. However, in our current information age, everyone, in all segments of society, needs to understand the basics of AI and data science. These basics include such things as what these disciplines are, what they can contribute to society, and perhaps most importantly, what can go wrong. However, I have found that much of the literature on these topics is highly technical and beyond the reach of most readers. These books are specifically selected because they are readable by virtually everyone, and yet convey the key concepts needed to be data-literate in the 21st century. Enjoy!
This book, by Nate Silver of 538 fame, explains in a straightforward manner why so many predictions by “experts,” from weather forecasts to sports outcomes to election polling to economics, ultimately prove wrong.
It relates to understanding the “signal,” the underlying science that is often revealed through trends and patterns in data, relative to the “noise,” the random or unpredictable variations always present in data. Silver also explains the concept of conditional probability, probability when provided with some relevant information, in an unusually clear manner.
The book reads more like a casual conversation with the author, rather than a statistics textbook.
UPDATED FOR 2020 WITH A NEW PREFACE BY NATE SILVER
"One of the more momentous books of the decade." —The New York Times Book Review
Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger—all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight.
Drawing on his own groundbreaking work, Silver examines the world of prediction,…
