The Basics of Social Research


Earl R. Babbie - 1998
    The streamlined Third Edition of THE BASICS OF SOCIAL RESEARCH focuses particularly on the application of social research, emphasizing the fundamental concepts of both quantitative and qualitative research methods. Inductive chapter openings pose social research problems that are addressed and resolved in each chapter through the application of key chapter concepts. Each chapter contains detailed examples and sections on how to interpret the results of data analysis. The text provides students with the necessary tools for understanding the basics of social research methods and for applying these concepts both inside and outside the classroom.

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.

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

The Literature Review: A Step-By-Step Guide for Students


Diana Ridley - 2008
    Diana Ridley describes how to carry out a literature review in a systematic, methodical way, providing useful strategies for efficient reading, conducting searches, organizing information, and writing the review itself.

The Sage Handbook of Qualitative Research


Norman K. Denzin - 2005
    Built on the foundations of the landmark First and Second Editions (1994, 2000), the Third Edition moves qualitative research boldly into the 21st century. The editors and authors ask how the practices of qualitative inquiry can be used to address issues of social justice in this new century.

The Craft of Research


Wayne C. Booth - 1995
    Seasoned researchers and educators Gregory G. Colomb and Joseph M. Williams present an updated third edition of their classic handbook, whose first and second editions were written in collaboration with the late Wayne C. Booth. The Craft of Research explains how to build an argument that motivates readers to accept a claim; how to anticipate the reservations of readers and to respond to them appropriately; and how to create introductions and conclusions that answer that most demanding question, “So what?” The third edition includes an expanded discussion of the essential early stages of a research task: planning and drafting a paper. The authors have revised and fully updated their section on electronic research, emphasizing the need to distinguish between trustworthy sources (such as those found in libraries) and less reliable sources found with a quick Web search. A chapter on warrants has also been thoroughly reviewed to make this difficult subject easier for researchers Throughout, the authors have preserved the amiable tone, the reliable voice, and the sense of directness that have made this book indispensable for anyone undertaking a research project.

Naked Statistics: Stripping the Dread from the Data


Charles Wheelan - 2012
    How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

Introduction to Machine Learning with Python: A Guide for Data Scientists


Andreas C. Müller - 2015
    If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

Survey Methodology


Robert M. Groves - 2004
    Survey Methodology describes the basic principles of survey design discovered in methodological research over recent years and offers guidance for making successful decisions in the design and execution of high quality surveys. Written by six nationally recognized experts in the field, this book covers the major considerations in designing and conducting a sample survey. Topical, accessible, and succinct, this book represents the state of the science in survey methodology. Employing the "total survey error" paradigm as an organizing framework, it merges the science of surveys with state-of-the-art practices. End-of-chapter terms, references, and exercises enhance its value as a reference for practitioners and as a text for advanced students.

Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS


John K. Kruschke - 2010
    Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884            0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke

On the Rez


Ian Frazier - 2000
    Crazy Horse, perhaps the greatest Indian war leader of the 1800s, and Black Elk, the holy man whose teachings achieved worldwide renown, were Oglala; in these typically perceptive pages, Frazier seeks out their descendants on Pine Ridge--a/k/a the rez--which is one of the poorest places in America today.Along with his longtime friend Le War Lance (whom he first wrote about in his 1989 bestseller, Great Plains) and other Oglala companions, Frazier fully explores the rez as they visit friends and relatives, go to pow-wows and rodeos and package stores, and tinker with a variety of falling-apart cars. He takes us inside the world of the Sioux as few writers ever have, writing with much wit, compassion, and imagination. In the career of SuAnne Big Crow, for example, the most admired Oglala basketball player of all time, who died in a car accident in 1992, Frazier finds a contemporary reemergence of the death-defying, public-spirited Sioux hero who fights with grace and glory to save her followers.On the Rez vividly portrays the survival, through toughness and humor, of a great people whose culture has helped to shape the American identity.

Super Crunchers: Why Thinking-By-Numbers Is the New Way to Be Smart


Ian Ayres - 2007
    In this lively and groundbreaking new book, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers. From internet sites like Google and Amazon that know your tastes better than you do, to a physician's diagnosis and your child's education, to boardrooms and government agencies, this new breed of decision makers are calling the shots. And they are delivering staggeringly accurate results. How can a football coach evaluate a player without ever seeing him play? Want to know whether the price of an airline ticket will go up or down before you buy? How can a formula outpredict wine experts in determining the best vintages? Super crunchers have the answers. In this brave new world of equation versus expertise, Ayres shows us the benefits and risks, who loses and who wins, and how super crunching can be used to help, not manipulate us.Gone are the days of solely relying on intuition to make decisions. No businessperson, consumer, or student who wants to stay ahead of the curve should make another keystroke without reading Super Crunchers.

Methodology of the Oppressed


Chela Sandoval - 2000
    Third World feminism" into the narrative in a way that thoroughly alters our perspective on contemporary culture and subjectivity.What Sandoval has identified is a language, a rhetoric of resistance to postmodern cultural conditions. U.S liberation movements of the post-World War II era generated specific modes of oppositional consciousness. Out of these emerged a new activity of consciousness and language Sandoval calls the "methodology of the oppressed". This methodology -- born of the strains of the cultural and identity struggles that currently mark global exchange -- holds out the possibility of a new historical moment, a new citizen-subject, and a new form of alliance consciousness and politics.Utilizing semiotics and U.S. Third World feminist criticism, Sandoval demonstrates how this methodology mobilizes love as a category of critical analysis. Rendering this approach in all its specifics, Methodology of the Oppressed gives rise to an alternative mode of criticism opening new perspectives on a theoretical, literary, aesthetic, social movement, or psychic expression.

The Reason You Walk


Wab Kinew - 2015
    The Reason You Walk spans that 2012 year, chronicling painful moments in the past and celebrating renewed hopes and dreams for the future. As Kinew revisits his own childhood in Winnipeg and on a reserve in Northern Ontario, he learns more about his father's traumatic childhood at residential school. An intriguing doubleness marks The Reason You Walk, itself a reference to an Anishinaabe ceremonial song. Born to an Anishinaabe father and a non-native mother, he has a foot in both cultures. He is a Sundancer, an academic, a former rapper, a hereditary chief and an urban activist. His father, Tobasonakwut, was both a beloved traditional chief and a respected elected leader who engaged directly with Ottawa. Internally divided, his father embraced both traditional native religion and Catholicism, the religion that was inculcated into him at the residential school where he was physically and sexually abused. In a grand gesture of reconciliation, Kinew's father invited the Roman Catholic bishop of Winnipeg to a Sundance ceremony in which he adopted him as his brother. Kinew writes affectingly of his own struggles in his twenties to find the right path, eventually giving up a self-destructive lifestyle to passionately pursue music and martial arts. From his unique vantage point, he offers an inside view of what it means to be an educated Aboriginal living in a country that is just beginning to wake up to its aboriginal history and living presence. Invoking hope, healing and forgiveness, The Reason You Walk is a poignant story of a towering but damaged father and his son as they embark on a journey to repair their family bond. By turns lighthearted and solemn, Kinew gives us an inspiring vision for family and cross-cultural reconciliation, and for a wider conversation about the future of aboriginal peoples.

Indigenous Writes: A Guide to First Nations, Métis, and Inuit Issues in Canada


Chelsea Vowel - 2016
    Sixties Scoop. Bill C-31. Blood quantum. Appropriation. Two-Spirit. Tsilhqot’in. Status. TRC. RCAP. FNPOA. Pass and permit. Numbered Treaties. Terra nullius. The Great Peace…Are you familiar with the terms listed above? In Indigenous Writes, Chelsea Vowel, legal scholar, teacher, and intellectual, opens an important dialogue about these (and more) concepts and the wider social beliefs associated with the relationship between Indigenous peoples and Canada. In 31 essays, Chelsea explores the Indigenous experience from the time of contact to the present, through five categories – Terminology of Relationships; Culture and Identity; Myth-Busting; State Violence; and Land, Learning, Law, and Treaties. She answers the questions that many people have on these topics to spark further conversations at home, in the classroom, and in the larger community.Indigenous Writes is one title in The Debwe Series.