With examples drawn from throughout the behavioral sciences, How to Think Like a Social Scientist fosters careful, critical thinking about psychology and the social sciences. Throughout the text, Pettigrew encourages readers to apply newly developed critical thinking skills to the nature of theory, comparisons and control, cause and change, sampling and selection, varying levels of analysis, and systems thinking in the social sciences.
With examples drawn from throughout the behavioral sciences, How to Think Like a Social Scientist fosters careful, critical thinking about psychology and the social sciences. Throughout the text, Pettigrew encourages readers to apply newly developed critical thinking skills to the nature of theory, comparisons and control, cause and change, sampling and selection, varying levels of analysis, and systems thinking in the social sciences.
“You might think that dancing doesn’t have a lot to do with social research, and doing social research is probably why you picked this book up in the first place. But trust me. Salsa dancing is a practice as well as a metaphor for a kind of research that will make your life easier and better.” Savvy, witty, and sensible, this unique book is both a handbook for defining and completing a research project, and an astute introduction to the neglected history and changeable philosophy of modern social science. In this volume, Kristin Luker guides novice researchers in: knowing the difference between an area of interest and a research topic; defining the relevant parts of a potentially infinite research literature; mastering sampling, operationalization, and generalization; understanding which research methods best answer your questions; beating writer’s block. Most important, she shows how friendships, non-academic interests, and even salsa dancing can make for a better researcher. “You know about setting the kitchen timer and writing for only an hour, or only 15 minutes if you are feeling particularly anxious. I wrote a fairly large part of this book feeling exactly like that. If I can write an entire book 15 minutes at a time, so can you.”
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Students and researchers all write under pressure, and those pressures—most lamentably, the desire to impress your audience rather than to communicate with them—often lead to pretentious prose, academic posturing, and, not infrequently, writer’s block. Sociologist Howard S. Becker has written the classic book on how to conquer these pressures and simply write. First published nearly twenty years ago, Writing for Social Scientists has become a lifesaver for writers in all fields, from beginning students to published authors. Becker’s message is clear: in order to learn how to write, take a deep breath and then begin writing. Revise. Repeat. It is not always an easy process, as Becker wryly relates. Decades of teaching, researching, and writing have given him plenty of material, and Becker neatly exposes the foibles of academia and its “publish or perish” atmosphere. Wordiness, the passive voice, inserting a “the way in which” when a simple “how” will do—all these mechanisms are a part of the social structure of academic writing. By shrugging off such impediments—or at the very least, putting them aside for a few hours—we can reform our work habits and start writing lucidly without worrying about grades, peer approval, or the “literature.” In this new edition, Becker takes account of major changes in the computer tools available to writers today, and also substantially expands his analysis of how academic institutions create problems for them. As competition in academia grows increasingly heated, Writing for Social Scientists will provide solace to a new generation of frazzled, would-be writers.
As data become ′big′, fast and complex, the software and computing tools needed to manage and analyse them are rapidly developing. Social scientists need new tools to meet these challenges, tackle big datasets, while also developing a more nuanced understanding of - and control over - how these computing tools and algorithms are implemented. Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifically for social science researchers, assuming no prior coding knowledge. It guides you through the full research process, from question to publication, including: the fundamentals of why and how to do your own programming in social scientific research, questions of ethics and research design, a clear, easy to follow ′how-to′ guide to using Python, with a wide array of applications such as data visualisation, social media data research, social network analysis, and more. Accompanied by numerous code examples, screenshots, sample data sources, this is the textbook for social scientists looking for a complete introduction to programming with Python and incorporating it into their research design and analysis.
What will be the future of social science? Where exactly do we stand, and where do we go from here? What kinds of problems should we be addressing, with what kinds of approaches and arguments? In this volume, Mark Turner offers an answer to these pressing questions.
This highly original work presents laboratory science in a deliberately skeptical way: as an anthropological approach to the culture of the scientist. Drawing on recent work in literary criticism, the authors study how the social world of the laboratory produces papers and other "texts,"' and how the scientific vision of reality becomes that set of statements considered, for the time being, too expensive to change. The book is based on field work done by Bruno Latour in Roger Guillemin's laboratory at the Salk Institute and provides an important link between the sociology of modern sciences and laboratory studies in the history of science.
