Here are 9 books that Beyond Significance Testing fans have personally recommended if you like
Beyond Significance Testing.
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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!
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 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'm passionate about understanding and fixing how we teach and learn for a simple reason: My own journey as a learner was very nearly cut short. While attending one of the most competitive universities in India, I witnessed firsthand what can happen when a once-promising student runs into learning roadblocks. I nearly gave up on my academic career, only to be saved by—of all things—a hands-on, corporate training program. As I moved back into academia, it became my goal, first as an educator and later as MIT’s Vice President for Open Learning, to empower how we teach and learn with findings from cutting-edge research. And to avail these possibilities to as many learners as possible.
There is a cottage industry of historical and analytical books attempting to explain where, exactly, our educational norms, structures, and strictures came from. Many of these are terrific, but Lagemann’sAn Elusive Science is the best of the bunch for exploring how nineteenth and twentieth-century scientific research influenced modern educational practice. The author is the source of a line oft-quoted in ed circles: “I have often argued to students, only in part to be perverse, that one cannot understand the history of education in the United States during the twentieth century unless one realizes that Edward L. Thorndike won and John Dewey lost.” This is the book that explicates and explores this almost primordial dichotomy, and how different philosophies of science became aligned with complementary philosophies of educational practice. A piercing, impeccably researched, enjoyable read.
Since its beginnings at the start of the 20th century, educational scholarship has been a marginal field, criticized by public policy makers and relegated to the fringes of academe. An Elusive Science explains why, providing a critical history of the traditions, conflicts, and institutions that have shaped the study of education over the past century.
I have studied creativity for 40 years and, along with the textbook I wrote, I am continually teaching my marketing students how to become more creative. I have unequivocally demonstrated that everyone who wants to become more creative can do so with the appropriate tutelage. This is why I get so much satisfaction from teaching creativity and it is why I wrote my book that I am highlighting here.
This book contains 17 chapters written by educational psychologists who have worked with creativity. These chapters range from establishing the best conditions in organizations for creativity to occur, how to test for creativity, problem-solving and creativity, freedom, and constraint in creativity, time’s impact on creativity, how dreams and other insights influence creativity, how society influences creativity, the relevance of talent in creativity, to leadership involving creativity. The spectrum of perspectives is broad indeed and I have personally gleaned much about all the relevant domains relating to creativity from reading this book.
Originally published in 1988, this book provides sixteen chapters by acknowledged experts on the richness and diversity of psychological approaches to the study of creativity. Addressing various aspects and levels of analysis, together they constitute a broad survey of the understanding of what it is to be 'creative'. In the first part of The Nature of Creativity, the role of the environment is discussed. In the second part, the role of the individual is viewed - first from a psychometric perspective; and then from a cognitive or information-processing perspective. In the third part, the role of interaction between individual and…
I have studied creativity for 40 years and, along with the textbook I wrote, I am continually teaching my marketing students how to become more creative. I have unequivocally demonstrated that everyone who wants to become more creative can do so with the appropriate tutelage. This is why I get so much satisfaction from teaching creativity and it is why I wrote my book that I am highlighting here.
This book is a compilation of chapters written by (mostly) psychology professors who have dealt with creativity extensively throughout their careers, and I highly recommend it. The topics cover psychometric approaches to creativity, experimental studies in creativity, the history of creativity, biological bases of creativity, the development of creativity, relationships between creativity and intelligence, the types of motivation necessary to produce creative outputs, cultural aspects of creativity, computer modeling in creativity, the development of prodigies, and significant research into creative processes. I gained valuable insights into domains and areas that I never would have considered otherwise.
This second edition of the renowned Cambridge Handbook of Creativity expands on the first edition with over two thirds new material reaching across psychology, business, entrepreneurship, education, and neuroscience. It introduces creativity scholarship by summarising its history, major theories and assessments, how creativity develops across the lifespan, and suggestions for improving creativity. It also illustrates cutting-edge work on genetics and the neuroscience of creativity, alongside creativity's potential for both benevolence and malevolence. The chapters cover the related areas of imagination, genius, play, and aesthetics and tackle questions about how cultural differences, one's physical environment, mood, and self-belief can impact creativity.…
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 taught for 45 years at Ithaca College broken by two years as Fulbright Professor in West Africa at the University of Liberia. During my years in academia, I developed several new courses including a popular “Math in Africa” class and the first U.S. course for college credit in chess theory. I’ve always had a passion for and continue to have strong interests in (1) national educational and social issues concerning equal access to math education for all and (2) teaching others about the power of mathematics and statistics to help one more deeply understand social issues.
This book is kind of a fun crash course in statistics which covers all the basic concepts at an introductory level.
The cartoons are a little bit dated, but still entertaining. There are lots of pictures and graphs which are a pleasure if you are a visual learner. The reader will come away with many useful tools to help understand real world problems.
I’m a retired math professor, but still got a real kick out of this book and especially appreciated the many good examples referenced such as gender discrimination in salaries and racial discrimination in jury selection. I recommended it to many of my struggling students.
Updated version featuring all new material. If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on "People's Court," or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more-all explained in simple,…
