Newman and Newman address physical, intellectual, social, and emotional growth in all life stages, focusing on the idea that development results from the interdependence of these areas at every stage, and placing special emphasis on optimal development through life. The text is noted for its clear organization, providing instructors and students with a coherent structure for tracing development over the life span. The text integrates theory and research with application, making the rich material of development useful for emerging professionals. Each life stage chapter ends with an applied topic that helps students connect the developmental themes of that stage with critical societal issues. The use of case material throughout offers a way to balance information about general patterns of development with information about individual differences and life stories. Human diversity is introduced in the very first chapter and is a continuing theme, reflected in research coverage, theoretical analysis, illustrations, and boxes. Through a variety of pedagogical strategies including the illustrations and captions, points for further reflection, and case analysis, the Newmans have created a text that encourages the reader to engage in ongoing integration and critical analysis.

    In her previous book, The Well-Trained Mind, the author provided a road map of classical education for parents wishing to home-school their children, and that book is now the premier resource for home-schoolers. In this new book, Bauer takes the same elements and techniques and adapts them to the use of adult readers who want both enjoyment and self-improvement from the time they spend reading.The Well-Educated Mind offers brief, entertaining histories of five literary genres—fiction, autobiography, history, drama, and poetry—accompanied by detailed instructions on how to read each type. The annotated lists at the end of each chapter—ranging from Cervantes to A. S. Byatt, Herodotus to Laurel Thatcher Ulrich—preview recommended reading and encourage readers to make vital connections between ancient traditions and contemporary writing.The Well-Educated Mind reassures those readers who worry that they read too slowly or with below-average comprehension. If you can understand a daily newspaper, there's no reason you can't read and enjoy Shakespeare's Sonnets or Jane Eyre. But no one should attempt to read the "Great Books" without a guide and a plan. Susan Wise Bauer will show you how to allocate time to your reading on a regular basis; how to master a difficult argument; how to make personal and literary judgments about what you read; how to appreciate the resonant links among texts within a genre—what does Anna Karenina owe to Madame Bovary?—and also between genres. Followed carefully, the advice in The Well-Educated Mind will restore and expand the pleasure of the written word.

    Focusing on three key phenomena--reincarnation, apparitions, and communications from the dead--Carter reveals 125 years of documented scientific studies by independent researchers and the British and American Societies for Psychical Research that rule out hoaxes, fraud, and hallucinations and prove these afterlife phenomena are real.The author examines historic and modern accounts of detailed past-life memories, visits from the deceased, and communications with the dead via medium and automatic writing as well as the scientific methods used to confirm these experiences. He explains how these findings on the afterlife have been ignored and denied because they are incompatible with the prevailing doctrine of materialism. Sharing messages from the dead themselves describing the afterlife, Carter reveals how consciousness exists outside the parameters of biological evolution and emerges through the medium of the brain to use the physical world as a springboard for growth. After death, souls can advance to higher planes of consciousness or manifest once again on Earth. Carter’s rigorous argument proves--beyond any reasonable doubt--not only that consciousness survives death and continues in the afterlife, but that it precedes birth as well.

    In On Being Certain, neurologist Robert Burton challenges the notions of how we think about what we know. He shows that the feeling of certainty we have when we know something comes from sources beyond our control and knowledge. In fact, certainty is a mental sensation, rather than evidence of fact. Because this feeling of knowing seems like confirmation of knowledge, we tend to think of it as a product of reason. But an increasing body of evidence suggests that feelings such as certainty stem from primitive areas of the brain, and are independent of active, conscious reflection and reasoning. The feeling of knowing happens to us; we cannot make it happen. Bringing together cutting edge neuroscience, experimental data, and fascinating anecdotes, Robert Burton explores the inconsistent and sometimes paradoxical relationship between our thoughts and what we actually know. Provocative and groundbreaking, On Being Certain, will challenge what you know (or think you know) about the mind, knowledge, and reason.

    Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources.

    Now in it's tenth edition, this text makes chemistry exciting to students by showing them why important concepts are relevant to their lives and future careers.

    Accessible for undergraduates yet thorough enough for graduate students, this comprehensive text defines learning and shows how the learning process is studied. The text places learning in its historical perspective, giving students an appreciation for the figures and theories that have shaped 100 years of learning theory research.

    Senator S. I. Hayakawa discusses the role of language in human life, the many functions of language, and how language—sometimes without our knowing—shapes our thinking in this engaging and highly respected book. Provocative and erudite, it examines the relationship between language and racial and religious prejudice; the nature and dangers of advertising from a linguistic point of view; and, in an additional chapter called “The Empty Eye,” the content, form, and hidden message of television, from situation comedies to news coverage to political advertising.

    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.

    Dewey's ideas were seldom adopted in America's public schools, although a number of his prescriptions have been continually advocated by those who have had to teach in them.

    Jacobs's The Know-It-All in this entertaining field guide to the varying levels of mental awareness. Beginning with the mild hallucinogenic state that comes just before true sleep, he tries to hone his skills at lucid dreaming, subjects himself to hypnosis and joins a Buddhist meditation retreat, among other adventures. Along the way, he begins to realize that dreaming and waking are equivalent states, and that we can learn how to induce the subtle gradations of consciousness within ourselves. This could come off as New Age psychobabble, but Warren is well versed in the scientific literature, and he provides detailed accounts of his own research. (During one three-week period, for example, he goes to bed at sundown to recreate a period of wakefulness before returning to sleep that used to be common before electric light reconfigured our sleep schedules.) His self-mocking attitude toward his inability to achieve instant nirvana, along with a steady stream of cartoon illustrations, ensures that his ideas remain accessible. More important than the theories, though, may be the basic tools—and the visionary spirit—that Warren hands off to those interested in hacking their own minds.

    With it you can prime yourself with the key concepts of statistics before getting involved in the associated calculations. Using words and diagrams instead of figures, formulae and equations, Derek Rowntree makes statistics accessible to those who are non-mathematicians. And just to get you into the spirit of things. Rowntree has included questions in his argument; answer them as you go and you will be able to tell how far you have mastered the subject.

    Clear and friendly, this in-depth practice manual builds on the nine-stage model of meditation originally articulated by the ancient Indian sage Asanga, crystallizing the entire meditative journey into 10 clearly-defined stages. The book also introduces a new and fascinating model of how the mind works, and uses illustrations and charts to help the reader work through each stage. This manual is an essential read for the beginner to the seasoned veteran of meditation and can be read from front to back, or used as a reference guide, choosing chapters as needed based on the current state of the reader’s practice.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    It invites both introductory and advanced students to appreciate the roots and limits of American exceptionalism, and to recognize the profound importance of current debates over the government's role in our everyday lives.