Authors Juliet Corbin and the late Anselm Strauss (co-creator of Grounded Theory) present methods that enable researchers to analyze and interpret their data, and ultimately build theory from it. Highly accessible in their approach, Corbin and Strauss provide a step-by-step guide to the research act--from the formation of the research question through several approaches to coding and analysis, to reporting on the research. Full of definitions and illustrative examples, this book concludes with chapters that present criteria for evaluating a study, as well as responses to common questions posed by students of qualitative research. Significantly revised, Basics of Qualitative Research remains a landmark volume in the study of qualitative methods. Key Features of the Third Edition:Allows for students to develop their critical thinking skills in the "Critical Issues" section at the end of each chapter.Shows the actual steps involved in data analysis (from description to grounded theory) and data gathering by means of theoretical sampling.Provides exercises for thinking, writing and group discussion that reinforces material presented in the text.

    It draws on Robert Weiss's thirty years of experience in interviewing and teaching others how to do it. The most effective interviews, says Weiss, rely on creating cooperation -- an open and trusting alliance between interviewer and respondent, dedicated to specific and honest accounts of both internal and external events. Against the eclectic background of his work in national sample surveys, studies based on semi-structured interviewing, and participant observation, Weiss walks the reader through the method of qualitative interview studies: sample selection, development of an interview guide, the conduct of the interview, analysis, and preparation of the data. Weiss gives examples of successful and less successful interviews and offers specific techniques and guidelines for the practitioner.

    William H. Sewell Jr. observes that on questions of theory the communication has been mostly one way: from social science to history. Logics of History argues that both history and the social sciences have something crucial to offer each other. While historians do not think of themselves as theorists, they know something social scientists do not: how to think about the temporalities of social life. On the other hand, while social scientists’ treatments of temporality are usually clumsy, their theoretical sophistication and penchant for structural accounts of social life could offer much to historians.Renowned for his work at the crossroads of history, sociology, political science, and anthropology, Sewell argues that only by combining a more sophisticated understanding of historical time with a concern for larger theoretical questions can a satisfying social theory emerge. In Logics of History, he reveals the shape such an engagement could take, some of the topics it could illuminate, and how it might affect both sides of the disciplinary divide.

    You may think of this group as millennials—those born between 1980 and 2000—but millennials resist this label for good reason: the national narrative on them is pejorative, patronizing, and just plain wrong.Here's what we do know: Of Americans with a church background, 76 percent are described as "religious nones" or unaffiliated—and it's the fastest growing segment of the population. Close to 40 percent of millennials fit this religious profile. Roughly 80 percent of teens in evangelical church high school youth groups will abandon their faith after two years in college. It's unlikely that the evangelical church can survive if it is uniformly rejected by millennials, and yet: Millennial pastors and youth ministers are disempowered; their perspective is often not taken seriously by senior church leadership. Most millennial research is framed in categories rejected by millennials; that is, left-brained, analytical communication is lost on right-brained, intuitive millennials. Evangelicals' bias toward rational left-brained thinking makes the church seem tone-deaf. What's next? Read on. John Seel suggests survival strategies—communication on-ramps for genuine human connection with the next generation. It can be done.

    Many scholars have argued that the social sciences rely too heavily on quantitative research and formal models and have attempted to develop and refine rigorous methods for using case studies. This text presents a comprehensive analysis of research methods using case studies and examines the place of case studies in social science methodology. It argues that case studies, statistical methods, and formal models are complementary rather than competitive. The book explains how to design case study research that will produce results useful to policymakers and emphasizes the importance of developing policy-relevant theories. It offers three major contributions to case study methodology: an emphasis on the importance of within-case analysis, a detailed discussion of process tracing, and development of the concept of typological theories. Case Studies and Theory Development in the Social Sciences will be particularly useful to graduate students and scholars in social science methodology and the philosophy of science, as well as to those designing new research projects, and will contribute greatly to the broader debate about scientific methods.

    Defined as an argument about why the topic of a study matters, and why the methods proposed to study it are appropriate and rigorous, the book explores the conceptual framework as both a process and a framework that helps to direct and ground researchers as they work through common research challenges.

    Today’s "machine-learning" systems, trained by data, are so effective that we’ve invited them to see and hear for us?and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole?and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands.The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software.In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story.The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

    The recent technological revolutions in video recording, editing, and distribution are more akin to the development of movable type than any other such revolution in the last five hundred years. And yet we are not popularly cognizant of or conversant with visual storytelling's grammar, the coded messages of its style, and the practical components of its production. We are largely, in a word, illiterate. But this is not a gloomy diagnosis of the collapse of civilization; rather, it is a celebration of the progress we've made and an exhortation and a plan to seize the potential we're poised to enjoy. The rules that define effective visual storytelling—much like the rules that define written language—do in fact exist, and Stephen Apkon has long experience in deploying them, teaching them, and witnessing their power in the classroom and beyond. In The Age of the Image, drawing on the history of literacy—from scroll to codex, scribes to printing presses, SMS to social media—on the science of how various forms of storytelling work on the human brain, and on the practical value of literacy in real-world situations, Apkon convincingly argues that now is the time to transform the way we teach, create, and communicate so that we can all step forward together into a rich and stimulating future.

    With help from Dr. Seuss and Cookie Monster, she explains why numbers can’t be objective: in order to count, one must first decide what counts. Every number is the ending to a story built on cultural assumptions, social conventions, and personal judgments.And yet, in this age of big data and metric mania, numbers shape almost every facet of our lives: whether we get hired, fired, or promoted; whether we get into college or out of prison; how our opinions are gathered and portrayed to politicians; or how government designs health and safety regulations. In warm and playful prose, Counting explores what happens when we measure nebulous notions like merit, race, poverty, pain, or productivity.When so much rides on numbers, they can become instruments of social welfare, justice, and democracy—or not. The citizens of Flint, Michigan, for instance, used numbers to prove how their household water got contaminated and to force their government to take remedial action. In stark contrast, the Founding Fathers finessed an intractable conflict by counting each slave as three-fifths of a person in the national census. They set a terrible precedent for today’s politicians who claim to solve moral and political dilemmas with arithmetic.Suffused with moral reflection and ending with a powerful epilogue on COVID-19’s dizzying statistics, Counting will forever change our relationship with numbers.

    Here, an indigenous researcher issues a clarion call for the decolonization of research methods.The book is divided into two parts. In the first, the author critically examines the historical and philosophical base of Western research. Extending the work of Foucault, she explores the intersections of imperialism, knowledge and research, and the different ways in which imperialism is embedded in disciplines of knowledge and methodologies as 'regimes of truth'. Providing a history of knowledge from the Enlightenment to Postcoloniality, she also discusses the fate of concepts such as 'discovery, 'claiming' and 'naming' through which the west has incorporated and continues to incorporate the indigenous world within its own web.The second part of the book meets the urgent need for people who are carrying out their own research projects, for literature which validates their frustrations in dealing with various western paradigms, academic traditions and methodologies, which continue to position the indigenous as 'Other'. In setting an agenda for planning and implementing indigenous research, the author shows how such programmes are part of the wider project of reclaiming control over indigenous ways of knowing and being.Exploring the broad range of issues which have confronted, and continue to confront, indigenous peoples, in their encounters with western knowledge, this book also sets a standard for truly emancipatory research. It brilliantly demonstrates that "when indigenous peoples become the researchers and not merely the researched, the activity of research is transformed."

    An occasionally humorous and insightful look into what makes socities both similar and unique.

    It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.Data Visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective "small multiple" plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings.Provides hands-on instruction using R and ggplot2Shows how the "tidyverse" of data analysis tools makes working with R easier and more consistentIncludes a library of data sets, code, and functions

    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.

    Second Life is one of the largest of these virtual worlds. The residents of Second Life create communities, buy property and build homes, go to concerts, meet in bars, attend weddings and religious services, buy and sell virtual goods and services, find friendship, fall in love--the possibilities are endless, and all encountered through a computer screen. Coming of Age in Second Life is the first book of anthropology to examine this thriving alternate universe.Tom Boellstorff conducted more than two years of fieldwork in Second Life, living among and observing its residents in exactly the same way anthropologists traditionally have done to learn about cultures and social groups in the so-called real world. He conducted his research as the avatar "Tom Bukowski," and applied the rigorous methods of anthropology to study many facets of this new frontier of human life, including issues of gender, race, sex, money, conflict and antisocial behavior, the construction of place and time, and the interplay of self and group.Coming of Age in Second Life shows how virtual worlds can change ideas about identity and society. Bringing anthropology into territory never before studied, this book demonstrates that in some ways humans have always been virtual, and that virtual worlds in all their rich complexity build upon a human capacity for culture that is as old as humanity itself.

    This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.