Offers students with the tools necessary to do ethical research in psychology and to understand the research they learn about in psychology courses and in the media.

    It shows how the components of design interact with each other, and provides a strategy for creating coherent and workable relationships among these design components, highlighting key design issues. Written in an informal, jargon-free style, the new Third Edition incorporates examples and hands-on exercises.

    William R. Miller and Stephen Rollnick explain current thinking on the process of behavior change, present the principles of MI, and provide detailed guidelines for putting it into practice. Case examples illustrate key points and demonstrate the benefits of MI in addictions treatment and other clinical contexts. The authors also discuss the process of learning MI. The volume’s final section brings together an array of leading MI practitioners to present their work in diverse settings.

    The book begins with the basic concepts of logic and set theory, to familiarize students with the language of mathematics and how it is interpreted. These concepts are used as the basis for a step-by-step breakdown of the most important techniques used in constructing proofs. To help students construct their own proofs, this new edition contains over 200 new exercises, selected solutions, and an introduction to Proof Designer software. No background beyond standard high school mathematics is assumed. Previous Edition Hb (1994) 0-521-44116-1 Previous Edition Pb (1994) 0-521-44663-5

    A wealth of accompanying figures and exercises illustrate and develop the material in more depth. They describe what a quantum computer is, how it can be used to solve problems faster than familiar "classical" computers, and the real-world implementation of quantum computers. Their book concludes with an explanation of how quantum states can be used to perform remarkable feats of communication, and of how it is possible to protect quantum states against the effects of noise.

    With extensive treatment of the heart of epidemiology-from study designs to descriptive epidemiology to quantitative measures-this reader-friendly text is accessible and interesting to a wide range of beginning students in all health-related disciplines. A unique focus is given to real-world applications of epidemiology and the development of skills that students can apply in subsequent course work and in the field. The text is also accompanied by a complete package of instructor and student resources available through a companion Web site.

    Long recognized as very applied and practical, Eggen and Kauchak's Educational Psychology: Windows on Classrooms, seventh edition is now even more applied and concise, giving students exactly what they need to know in the course. The author's hallmark cases remain, in both written and videotape format, to introduce real-world applications in a way that no other text can. Along with expanded applications to diversity (urban, suburban, and rural areas), technology, and a new pedagogical system that completely restructures how information is delivered in the book and will help students really understand what they should be getting out of every single chapter. The text now comes with two new DVDs of video material and an access code for the new Teacher Prep Website that will be automatically shrinkwrapped with all new copies of the text. Educational Psychology: Windows on Classrooms once again truly fulfills the promise of its title, giving students a window on the classrooms in which they will someday teach.

    This is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, least squares estimation, the bivariate normal distribution, and a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. The book has been widely adopted for classroom use in introductory probability courses within the USA and abroad.

    Using real-life case studies and written with a student-centered approach, this new edition provides students with the necessary knowledge and skills to enable them to undertake a piece of business research making the best use of IT where appropriate.

    Numerous examples throughout the book show students what should and should not be done when writing reviews.- Emphasizes critical analysis of reports of empirical research in academic journals--making it ideal as a supplement for research methods courses. This book makes it possible for students to work independently on a critical literature review as a term project.- Nine model literature reviews at the end of the book provide the stimulus for homework assignments and classroom discussions.- The activities at the end of each chapter keep students moving toward their goal of writing a polished, professional review of academic literature.- Most examples include material from recently published research. Includes nine model literature reviews for discussion and evaluation.Table of ContentsChapters1 Writing Reviews of Academic Literature: An Overview2 Considerations in Writing Reviews for Specific Purposes3 Selecting a Topic and Identifying Literature for Review4 General Guidelines for Analyzing Literature5 Analyzing Quantitative Research Literature6 Analyzing Qualitative Research Literature7 Building Tables to Summarize Literature8 Synthesizing Literature Prior to Writing a Review9 Guidelines for Writing a First Draft10 Guidelines for Developing a Coherent Essay11 Guidelines on Style, Mechanics, and Language Usage12 Incorporating Feedback and Refining the First Draft13 Preparing a Reference List14 Comprehensive Self-Editing Checklist for Refining the Final DraftModel Literature Reviews for Discussion and EvaluationReview A: Cyberbullying Among College StudentsJournal of School ViolenceReview B: Waterpipe Smoking Among College Students in the United StatesJournal of American College HealthReview C: The Effect of Student Discussion Frequency on Mathematics AchievementThe Journal of Experimental EducationReview D: Behaviors in Couples With a History of InfidelityJournal of Family PsychologyReview E: The Prevalence of Stalking Among College StudentsJournal of American College HealthReview F: School Social Workers' Experiences With Youth Suicidal BehaviorChildren & SchoolsReview G: Demographic and Academic Trends in Drinking Patterns and Alcohol-Related ProblemsJournal of Alcohol and Drug EducationReview H: Overnight Stays and Children's Relationships With Resident and Nonresident Parents After DivorceJournal of Family IssuesReview I: Language Brokering: An Integrative Review of the LiteratureHispanic Journal of Behavioral SciencesProfessor Reviews"Students have found Writing "Literature reviews one of the most helpful books.... Even students not in the course have gone to the bookstore looking for this book."-- Kathleen N. Bondy, University of Central Arkansas"Lucid, readable, and concise. Excellent detailed table of contents. Good full-length examples of literature reviews."-- Paul K. Dezendorf, East Carolina University"Excellent. A concise, 'task analytic' presentation of the complex steps necessary in writing literature reviews."-- Tom Cooke, Sonoma State University"Readable, concise, clear overview of the subject. My students rave about it. One said, 'I will keep this book for my whole master's [in nursing] program.'"-- Madge M. D

    In this briefer version, the authors explain abnormal psychology in the most modern, scientifically valid method for studying abnormal psychology. Through this integrative approach, students learn that psychological disorders are rooted in multiple factors: biological, psychological, cultural, social, familial, and even political. Conversational writing style, consistent pedagogy, video clips of real clients (located on the accompanying free Abnormal Psychology Live 2.5 CD-ROM), and real case profiles - 95 percent from the authors' own case files - provide a realistic context for the scientific findings of the book, and ensure that readers never lose sight of the fact that beyond the DSM-IV-TR criteria, the theories, and the research are real people. With this text, students can take advantage of Abnormal PsychologyNow, our web-based, intelligent study system that, by using online diagnostic pre- and post-tests, helps students prioritize their study time by creating personalized study plans that focus only the sections in which they experienced difficulty.

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    The book also provides a balanced presentation of time-varying and static fields, preparingstudents for employment in today's industrial and manufacturing sectors. Streamlined to facilitate student understanding, this edition features worked examples in every chapter that explain how to use the theory presented in the text to solve different kinds of problems. Numerical methods, including MATLAB and vector analysis, are also included to help students analyzesituations that they are likely to encounter in industry practice. Elements of Electromagnetics, Fifth Edition, is designed for introductory undergraduate courses in electromagnetics.

    Bayesian statistics is taught in most first-year statistics classes across the nation, but there is one major problem that many students (and others who are interested in the theorem) face. The theorem is not intuitive for most people, and understanding how it works can be a challenge, especially because it is often taught without visual aids. In this guide, we unpack the various components of the theorem and provide a basic overview of how it works - and with illustrations to help. Three scenarios - the flu, breathalyzer tests, and peacekeeping - are used throughout the booklet to teach how problems involving Bayes Theorem can be approached and solved. Over 60 hand-drawn visuals are included throughout to help you work through each problem as you learn by example. The illustrations are simple, hand-drawn, and in black and white. For those interested, we have also included sections typically not found in other beginner guides to Bayes Rule. These include: A short tutorial on how to understand problem scenarios and find P(B), P(A), and P(B|A). For many people, knowing how to approach scenarios and break them apart can be daunting. In this booklet, we provide a quick step-by-step reference on how to confidently understand scenarios.A few examples of how to think like a Bayesian in everyday life. Bayes Rule might seem somewhat abstract, but it can be applied to many areas of life and help you make better decisions. It is a great tool that can help you with critical thinking, problem-solving, and dealing with the gray areas of life. A concise history of Bayes Rule. Bayes Theorem has a fascinating 200+ year history, and we have summed it up for you in this booklet. From its discovery in the 1700’s to its being used to break the German’s Enigma Code during World War 2, its tale is quite phenomenal.Fascinating real-life stories on how Bayes formula is used in everyday life.From search and rescue to spam filtering and driverless cars, Bayes is used in many areas of modern day life. We have summed up 3 examples for you and provided an example of how Bayes could be used.An expanded definitions, notations, and proof section.We have included an expanded definitions and notations sections at the end of the booklet. In this section we define core terms more concretely, and also cover additional terms you might be confused about. A recommended readings section.From The Theory That Would Not Die to a few other books, there are a number of recommendations we have for further reading. Take a look! If you are a visual learner and like to learn by example, this intuitive booklet might be a good fit for you. Bayesian statistics is an incredibly fascinating topic and likely touches your life every single day. It is a very important tool that is used in data analysis throughout a wide-range of industries - so take an easy dive into the theorem for yourself with a visual approach!If you are looking for a short beginners guide packed with visual examples, this booklet is for you.

    The gift is a perfect example of what Mauss calls a total social phenomenon, since it involves legal, economic, moral, religious, aesthetic, and other dimensions. He sees the gift exchange as related to individuals and groups as much as to the objects themselves, and his analysis calls into question the social conventions and economic systems that had been taken for granted for so many years. In a modern translation, introduced by distinguished anthropologist Mary Douglas, The Gift is essential reading for students of social anthropology and sociology.