Elementary Statistics: Picturing the World


Ron Larson - 2002
    Offering an approach with a visual/graphical emphasis, this text offers a number of examples on the premise that students learn best by doing. This book features an emphasis on interpretation of results and critical thinking over calculations.

Research Methods for Social Work


Allen Rubin - 1989
    This best-selling text that has empowered more than 100,000 students just like you! Considered the best social work research methods resource, RESEARCH METHODS FOR SOCIAL WORK balances essential content with enlightening examples, consistently revealing the important connections between real research and true-to-life social work practice.

The Sociological Imagination


C. Wright Mills - 1959
    Wright Mills is best remembered for his highly acclaimed work The Sociological Imagination, in which he set forth his views on how social science should be pursued. Hailed upon publication as a cogent and hard-hitting critique, The Sociological Imagination took issue with the ascendant schools of sociology in the United States, calling for a humanist sociology connecting the social, personal, and historical dimensions of our lives. The sociological imagination Mills calls for is a sociological vision, a way of looking at the world that can see links between the apparently private problems of the individual and important social issues.

The Language Instinct: How the Mind Creates Language


Steven Pinker - 1994
    With deft use of examples of humor and wordplay, Steven Pinker weaves our vast knowledge of language into a compelling story: language is a human instinct, wired into our brains by evolution. The Language Instinct received the William James Book Prize from the American Psychological Association and the Public Interest Award from the Linguistics Society of America. This edition includes an update on advances in the science of language since The Language Instinct was first published.

Using Multivariate Statistics


Barbara G. Tabachnick - 1983
    It givessyntax and output for accomplishing many analyses through the mostrecent releases of SAS, SPSS, and SYSTAT, some not available insoftware manuals. The book maintains its practical approach, stillfocusing on the benefits and limitations of applications of a techniqueto a data set -- when, why, and how to do it. Overall, it providesadvanced students with a timely and comprehensive introduction totoday's most commonly encountered statistical and multivariatetechniques, while assuming only a limited knowledge of higher-levelmathematics.

Real World Research: A Resource for Social Scientists and Practitioner-Researchers


Colin Robson - 1993
    These include teachers, social workers and health service professionals, managers and specialists in business, architects, designers, criminologists and accountants among many others.Real World Research provides a clear route-map of the various steps needed to carry out a piece of applied research to a high professional standard. It is accessible to those without a social science background while providing rigorous and fully up-to-date coverage of contemporary issues and debates. It brings together materials and approaches from different social science disciplines, seeing value in both quantitative and qualitative approaches, as well as their combination in mixed-method designs.

The Foundations of Social Research: Meaning and Perspective in the Research Process


Michael J. Crotty - 1998
    How can you be sure which methodology is appropriate, or whether your chosen combination of methods is consistent with the theoretical perspective you want to take? This book links methodology and theory with great clarity and precision, showing students and researchers how to navigate the maze of conflicting terminology. The major epistemological stances and theoretical perspectives that colour and shape current social research are detailed and the author reveals the philosophical origins of these schools of inquiry and shows how various disciplines contribute to the practice of social research as it is known today.

The Theory and Practice of Group Psychotherapy


Irvin D. Yalom - 1967
    Yalom's The Theory and Practice of Group Psychotherapy has been the standard text in the field for decades.In this completely revised and updated fifth edition, Dr. Yalom and his collaborator Dr. Molyn Leszcz expand the book to include the most recent developments in the field, drawing on nearly a decade of new research as well as their broad clinical wisdom and expertise.New topics include: online therapy, specialized groups, ethnocultural diversity, trauma and managed care. At once scholarly and lively, this is the most up-to-date, incisive, and comprehensive text available on group psychotherapy.

Art as Experience


John Dewey - 1934
    Based on John Dewey's lectures on esthetics, delivered as the first William James Lecturer at Harvard in 1932, Art as Experience has grown to be considered internationally as the most distinguished work ever written by an American on the formal structure and characteristic effects of all the arts: architecture, sculpture, painting, music, and literature.

Lenses on Reading: An Introduction to Theories and Models


Diane H. Tracey - 2006
    Readers learn why theory matters in designing and implementing high-quality instruction; how to critically evaluate the assumptions and beliefs that guide their own work with students; and the benefits of approaching everyday teaching situations from multiple theoretical perspectives. Every chapter features classroom application activities and illuminating teaching vignettes. Of particular utility to graduate students, the book also addresses research applications, including descriptions of exemplary studies informed by each theoretical model.

The Book Whisperer: Awakening the Inner Reader in Every Child


Donalyn Miller - 2009
    Her approach, however, is not conventional. Miller dispenses with the more traditional reading instruction of book reports and comprehension worksheets in favor of embracing students' choices in books and independent reading. Her zeal for reading is infections and inspiring --and the results are remarkable. No matter how far behind Miller's students may be when they enter her 6th grade classroom, her students read an average of 40 books a year, achieve high scores on standardized tests, and internalize a love for books and reading that lasts long after they've left her class. Travel alongside the author as she leads her students to discover the ample rewards of reading and literature. Her secrets include: Affirming the reader in every student Supporting students' reading choices Carving out extra reading time Modeling authentic reading behaviors Discarding time-worn reading assisgnments Developing a classroom library with high-interest books Rich with classroom examples and practical advice and stitched together with the thread of Miller's passionate voice, this book will help teachers support students of all levels on their path to reading success and points a way out of the nation's literacy crisis. The book also includes an invaluable list of books that students most enjoy reading.

Theories of Development


William Crain - 2004
    Emphasizing the theories that build upon the developmental tradition, it also covers theories in the environmental/learning tradition.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data


Hadley Wickham - 2016
    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

A Framework for Understanding Poverty


Ruby K. Payne - 1995
    The reality of being poor brings out a survival mentality, and turns attention away from opportunities taken for granted by everyone else. If you work with people from poverty, some understanding of how different their world is from yours will be invaluable. Whether you're an educator--or a social, health, or legal services professional--this breakthrough book gives you practical, real-world support and guidance to improve your effectiveness in working with people from all socioeconomic backgrounds. Since 1995 A Framework for Understanding Poverty has guided hundreds of thousands of educators and other professionals through the pitfalls and barriers faced by all classes, especially the poor. Carefully researched and packed with charts, tables, and questionnaires, Framework not only documents the facts of poverty, it provides practical yet compassionate strategies for addressing its impact on people's lives.

Pattern Recognition and Machine Learning


Christopher M. Bishop - 2006
    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.