Thinking Through Methods

Sociological research is hard enough already—you don’t need to make it even harder by smashing about like a bull in a china shop, not knowing what you’re doing or where you’re heading. Or so says John Levi Martin in this witty, insightful, and desperately needed primer on how to practice rigorous social science. Thinking Through Methods focuses on the practical decisions that you will need to make as a researcher—where the data you are working with comes from and how that data relates to all the possible data you could have gathered. This is a user’s guide to sociological research, designed to be used at both the undergraduate and graduate level. Rather than offer mechanical rules and applications, Martin chooses instead to team up with the reader to think through and with methods. He acknowledges that we are human beings—and thus prone to the same cognitive limitations and distortions found in subjects—and proposes ways to compensate for these limitations. Martin also forcefully argues for principled symmetry, contending that bad ethics makes for bad research, and vice versa. Thinking Through Methods is a landmark work—one that students will turn to again and again throughout the course of their sociological research.

Sharpen your tools -- How to formulate a question -- How do you choose a site? -- Talking to people -- Hanging out -- Ethics in research -- Comparing -- Dealing with documents -- Interpreting it and writing it up

The chapters in this innovative guide share a common belief that thinking alongside ideas is an integral part of the research process. This book encourages the researcher to think through three key moments of the research process: the production of a research question; fieldwork; and analysis and writing.

Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work, and one that makes a strong case for revising the way that we try to use statistics to support our theories. But don’t let that daunt you. With clever examples and witty takeaways, John Levi Martin proves himself to be a most affable tour guide through these scholarly waters. Martin argues that the task of social statistics isn't to estimate parameters, but to reject false theory. He illustrates common pitfalls that can keep researchers from doing just that using a combination of visualizations, re-analyses, and simulations. Thinking Through Statistics gives social science practitioners accessible insight into troves of wisdom that would normally have to be earned through arduous trial and error, and it does so with a lighthearted approach that ensures this field guide is anything but stodgy.

The underlying idea and motive for the book is that the notion of complexity may humanize the social sciences, may conceive the complex human being as more human, and turn reality as assumed in our doing social science into a more complex, that is a richer reality for all. The main focus of this book is on new thinking in complexity, with complexity to be taken as derived from the Latin word complexus: ‘that which is interwoven.’ The trans-disciplinary approach advocated here will be trans-disciplinary in two ways: firstly, by going beyond the separate disciplines within the fields of both natural sciences and social sciences, and, secondly, by going beyond the separate cultures of the natural sciences and of the social sciences and humanities.

Written in Johnny Saldaña′s elegant and accessible style, Thinking Qualitatively: Methods of Mind boldly pursues the challenge of teaching students not just how to collect and analyze data, but how to actively think about them. Each chapter presents one "method of mind" (thinking analytically, realistically, symbolically, ethically, multidisciplinarily, artistically, summarily, interpretively, and narratively), together with applications, a vignette or story related to the thinking modality, points to remember, and exercises. Designed to help researchers "rise above the data," the book explores how qualitative research designs, data collection, data analyses, and write-ups can be enriched through over 60 different lenses, filters, and angles on social life. Venturing into more evocative and multidimensional ways to examine the complex patterns of daily living, the book reveals how the researcher′s mind thinks heuristically to transcend the descriptive and develop "highdeep" insights about the human condition.

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.

“A compelling case for transforming how research methods are taught to undergraduate students of political science.” —London School of Economics Review of Books Each year, tens of thousands of students who are interested in politics go through a rite of passage: they take a course in research methods. Many find the subject to be boring or confusing, and with good reason. Most of the standard books on research methods fail to highlight the most important concepts and questions. Instead, they brim with dry technical definitions and focus heavily on statistical analysis, slighting other valuable methods. This approach prevents students from mastering the skills they need to engage more directly and meaningfully with a wide variety of research. With wit and practical wisdom, Christopher Howard draws on more than a decade of experience teaching research methods to transform a typically dreary subject and teach budding political scientists the critical skills they need to read published research more effectively and produce better research of their own. The first part of the book is devoted to asking three fundamental questions in political science: What happened? Why? Who cares? In the second section, Howard demonstrates how to answer these questions by choosing an appropriate research design, selecting cases, and working with numbers and written documents as evidence. Drawing on examples from American and comparative politics, international relations, and public policy, Thinking Like a Political Scientist highlights the most common challenges that political scientists routinely face, and each chapter concludes with exercises so that students can practice dealing with those challenges.