It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artifical intelligence, business, epidemiology, social science and economics. Students in these areas will find natural models, simple identification procedures, and precise mathematical definitions of causal concepts that traditional texts have tended to evade or make unduly complicated. This book will be of interest to professionals and students in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable. Professor of Computer Science at the UCLA, Judea Pearl is the winner of the 2008 Benjamin Franklin Award in Computers and Cognitive Science.

    This is how engineers calculate your quality of living, how corporations determine your needs, and how politicians estimate your opinions. These are the numbers you never think about-even though they play a crucial role in every single aspect of your life.What you learn may surprise you, amuse you, or even enrage you. But there's one thing you won't be able to deny: Numbers Rule Your World...An easy read with a big benefit. --Fareed Zakaria, CNNFor those who have anxiety about how organization data-mining is impacting their world, Kaiser Fung pulls back the curtain to reveal the good and the bad of predictive analytics. --Ian Ayres, Yale professor and author of Super Crunchers: Why Thinking By Numbers is the New Way to Be Smart A book that engages us with stories that a journalist would write, the compelling stories behind the stories as illuminated by the numbers, and the dynamics that the numbers reveal. --John Sall, Executive Vice President, SAS InstituteLittle did I suspect, when I picked up Kaiser Fung's book, that I would become so entranced by it - an illuminating and accessible exploration of the power of statistical analysis for those of us who have no prior training in a field that he explores so ably. --Peter Clarke, author of Keynes: The Rise, Fall, and Return of the 20th Century's Most Influential EconomistA tremendous book. . . . If you want to understand how to use statistics, how to think with numbers and yet to do this without getting lost in equations, if you've been looking for the book to unlock the door to logical thinking about problems, well, you will be pleased to know that you are holding that book in your hands. --Daniel Finkelstein, Executive Editor, The Times of LondonI thoroughly enjoyed this accessible book and enthusiastically recommend it to anyone looking to understand and appreciate the role of statistics and data analysis in solving problems and in creating a better world. --Michael Sherman, Texas A&M University, American Statistician

    Terms and phrases such as "the global village" and "the medium is the message" are now part of the lexicon, and McLuhan's theories continue to challenge our sensibilities and our assumptions about how and what we communicate.There has been a notable resurgence of interest in McLuhan's work in the last few years, fueled by the recent and continuing conjunctions between the cable companies and the regional phone companies, the appearance of magazines such as WiRed, and the development of new media models and information ecologies, many of which were spawned from MIT's Media Lab. In effect, media now begs to be redefined. In a new introduction to this edition of Understanding Media, Harper's editor Lewis Lapham reevaluates McLuhan's work in the light of the technological as well as the political and social changes that have occurred in the last part of this century.

    Each self-contained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included.New features in the second edition include:an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution; new chapters on basic research concepts including sampling, definitions of different types of variables, and basic research designs and one on nonparametric statistics; more graphs and more precise descriptions of each statistic; and a discussion of confidence intervals.This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences.Materials formerly available with this book on CD-ROM are now available for download from our website www.psypress.com. Go to the book's page and look for the 'Download' link in the right-hand column.

    Select a topic for entirely strategic reasons. Choose the coolest supervisor. Write only to deadlines. Expect people to hold your hand. Become “that” student. When it comes to a masters or PhD program, most graduate students don’t deliberately set out to  fail. Yet, of the nearly 500,000 people who start a graduate program each year, up to half will never complete their degree. Books abound on acing the admissions process, but there is little on what to do once the acceptance letter arrives. Veteran graduate directors Kevin D. Haggerty and Aaron Doyle have set out to demystify the world of advanced education. Taking a wry, frank approach, they explain the common mistakes that can trip up a new graduate student and lay out practical advice about how to avoid the pitfalls. Along the way they relate stories from their decades of mentorship and even share some slip-ups from their own grad experiences. The litany of foul-ups is organized by theme and covers the grad school experience from beginning to end: selecting the university and program, interacting with advisors and fellow students, balancing personal and scholarly lives, navigating a thesis, and creating a life after academia. Although the tone is engagingly tongue-in-cheek, the lessons are crucial to anyone attending or contemplating grad school. 57 Ways to Screw Up in Grad School allows you to learn from others’ mistakes rather than making them yourself.

    Topics covered include matrix multiplication, row reduction, matrix inverse, orthogonality and computation. The self-teaching book is loaded with examples and graphics and provides a wide array of probing problems, accompanying solutions, and a glossary. Chapter 1: Introduction to Vectors; Chapter 2: Solving Linear Equations; Chapter 3: Vector Spaces and Subspaces; Chapter 4: Orthogonality; Chapter 5: Determinants; Chapter 6: Eigenvalues and Eigenvectors; Chapter 7: Linear Transformations; Chapter 8: Applications; Chapter 9: Numerical Linear Algebra; Chapter 10: Complex Vectors and Matrices; Solutions to Selected Exercises; Final Exam. Matrix Factorizations. Conceptual Questions for Review. Glossary: A Dictionary for Linear Algebra Index Teaching Codes Linear Algebra in a Nutshell.

    The reorganized text reflects a more balanced coverage of both quantitative and qualitative methodologies. Unique features of this revised edition include an approachable text your students won't mind reading and will want to keep; the accessible writing style, clear and concise explanations, and humorous tone demystify the research process; eleven cumulative Tasks throughout the text provide practice and skill development in doing research, step by step; expanded coverage of qualitative research and mixed methods Chapter 16 covering Narrative Research, and Chapter 17 covering Ethnographic Research, are new to this edition. Chapter 19, Mixed Methods, is also new to this edition. There is an expanded coverage of technology and an increased coverage of how to use technology in the research process. The 39 articles provided in the package (Text, Student Study Guide, and Website) are accompanied by a variety of pedagogical aids to help students learn to read research. research.

    Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." --Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching"This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." --Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education"Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." --Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching"As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." --From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning

    Offering concrete examples of common structural problems, and numerous devices, tricks, and tests by which to avoid them, in a direct and conversational tone, it proves that the astute researcher must no longer regard writing as the last chore but rather as a crucial part of the research process. This updated edition reflects the changes in research style brought about by the Internet.

    It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought.Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.”Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

    The tenth edition includes an extensive update with new examples and timely HR topics added. Most opening vignettes and "Did You Know?" boxes are new to provide the most relevant information. The "Workplace Issues, Technology Corner," and "Ethical Issues" in HRM boxes have also been updated to reflect current ideas and issues in HR. HR professionals will find more detailed discussions on topics including HR as a career, outsourcing of HR, discipline and dismissal, employment branding, and more.

     Collaboration is the foundation on which successful contemporary public schools are based, as well as the most effective means to provide services to students with disabilities and other special needs. Interactions presents this idea with an ideal blend of theory and practical applications. Following an overview of collaboration in schools and across society, the authors introduce essential communication skills that form the foundation for successful collaboration; show a focus on problem solving and its common collaborative applications; and look at such critical topics as teaming, the key principles of co-teaching, consulting, coaching, mentoring, and conflict and resistance. Every chapter features numerous opportunities to learn new material, reinforce what's been learned, and think critically about topics. The 9th Edition reflects the continued changes in the priorities for education based on federal mandates as well as practitioner trends, and it is grounded in the real-life experiences of school professionals. It has been thoroughly revised and updated, featuring new information on working with diverse families and paraeducators, plus over 400 new references. This title is also available digitally as a standalone Pearson eText.

    This text is highly regarded because of its engaging and understandable introduction to statistics. The author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.

    Engaging IdeasShows how teachers can encourage inquiry, exploration, discussion, and debate in their courses. Presents a wide variety of strategies for stimulating active learning and for coaching writing and critical thinking. Offers teachers concrete advice on how to design courses, structure assignment, use class time, critique student performance, and model critical thinking activities. Demonstrates how writing can easily be integrated with such other critical thinking activities and inquiry discussions, simulation games, classroom debates, and interactive lectures.

    New to this edition is coverage of: Improved techniques for evaluating survey questions The latest options available to researchers in using the computer and the internet for surveys Recent methodological findings to enhance survey research With an emphasis on the importance of minimizing nonsampling errors through superior question design, quality interviewing, and high response rates, this book helps readers understand the relationship of data collection to figures and statistics based on the survey-and how much confidence to place in the reported results based on this relationship.