To do research that really makes a difference -- the authors of this book argue -- social scientists need a diverse set of questions and methods, both qualitative and quantitative, in order to reflect the complexity of the world. Bringing together a consortium of voices across a variety of fields, Methods That Matter offers compelling and successful examples of mixed methods research that does just that. Discussing their own endeavors to combine quantitative and qualitative methodologies, the authors invite readers into a conversation about the best designs and practices of mixed methods to stimulate creative ideas and find new pathways of insight. The result is an engaging exploration of a promising approach to the social sciences. --

Educational policy-makers around the world constantly make decisions about how to use scarce resources to improve the education of children. Unfortunately, their decisions are rarely informed by evidence on the consequences of these initiatives in other settings. Nor are decisions typically accompanied by well-formulated plans to evaluate their causal impacts. As a result, knowledge about what works in different situations has been very slow to accumulate. Over the last several decades, advances in research methodology, administrative record keeping, and statistical software have dramatically increased the potential for researchers to conduct compelling evaluations of the causal impacts of educational interventions, and the number of well-designed studies is growing. Written in clear, concise prose, Methods Matter: Improving Causal Inference in Educational and Social Science Research offers essential guidance for those who evaluate educational policies. Using numerous examples of high-quality studies that have evaluated the causal impacts of important educational interventions, the authors go beyond the simple presentation of new analytical methods to discuss the controversies surrounding each study, and provide heuristic explanations that are also broadly accessible. Murnane and Willett offer strong methodological insights on causal inference, while also examining the consequences of a wide variety of educational policies implemented in the U.S. and abroad. Representing a unique contribution to the literature surrounding educational research, this landmark text will be invaluable for students and researchers in education and public policy, as well as those interested in social science.

Intermediate Epidemiology: Methods That Matter provides masters-level public health students with a solid foundation in the epidemiologic methods necessary for implementing successful public health programs. This book stands apart from other intermediate texts in that it focuses on conceptual learning of basic methods without relying on extensive jargon. The book uniquely uses a self-learning approach, with exercises embedded in each page to reinforce concepts and application. The book creates a bridge from student to professional with lively descriptions of career paths for the MPH-level epidemiologist. Complete chapters on program evaluation and implementation and analysis of studies are also provided. Key Features: • Examines the methodological skill set unique to epidemiology at an intermediate level • Provides practice problems, case studies, discussion sections, and datasets in which to practice the methods learned • Offers boxed examples from sources such as peer reviewed literature, governmental resources, and lay sources

This concise resource provides practical applications of why research methods are important for public administrators, who do not routinely perform data analysis, but often find themselves having to evaluate and make important decisions based on data analysis and evaluative reports they receive. It is also intended as a supplemental text for research methods courses at the graduate level and upper division undergraduate level. Why Research Methods Matter is essential reading for current and future managers in the public sector who seek to become savvy consumers of research.

To do research that really makes a difference—the authors of this book argue—social scientists need questions and methods that reflect the complexity of the world. Bringing together a consortium of voices across a variety of fields, Methods that Matter offers compelling and successful examples of mixed methods research that do just that. In case after case, the researchers here break out of the traditional methodological silos that have long separated social science disciplines in order to better describe the intricacies of our personal and social worlds. Historically, the largest division between social science methods has been that between quantitative and qualitative measures. For people trained in psychology or sociology, the bias has been toward the former, using surveys and experiments that yield readily comparable numerical results. For people trained in anthropology, it has been toward the latter, using ethnographic observations and interviews that offer richer nuances of meaning but are difficult to compare across societies. Discussing their own endeavors to combine the quantitative with the qualitative, the authors invite readers into a conversation about the best designs and practices of mixed methodologies to stimulate creative ideas and find new pathways of insight. The result is an engaging exploration of a promising new approach to the social sciences.

The aim of this book is to provide information about performing experi ments at low temperatures, as well as basic facts concerning the low tem perature properties of liquid and solid matter. To orient the reader, I begin with chapters on these low temperature properties. The major part of the book is then devoted to refrigeration techniques and to the physics on which they are based. Of equal importance, of course, are the definition and measurement of temperature; hence low temperature thermometry is extensively discussed in subsequent chapters. Finally, I describe a variety of design and construction techniques which have turned out to be useful over the years. The content of the book is based on the three-hour-per-week lecture course which I have given several times at the University of Bayreuth between 1983 and 1991. It should be particularly suited for advanced stu dents whose intended masters (diploma) or Ph.D. subject is experimental condensed matter physics at low temperatures. However, I believe that the book will also be of value to experienced scientists, since it describes sev eral very recent advances in experimental low temperature physics and technology, for example, new developments in nuclear refrigeration and thermometry.

This book offers concrete descriptions of practical and proven ways of using time, space, materials, and activites that embody new standards.

This book gathers an expert group of social scientists to showcase emerging forms of analysis and evaluation for public policy analysis. Each chapter highlights a different method or approach, putting it in context and highlighting its key features before illustrating its application and potential value to policy makers. Aimed at upper-level undergraduates in public policy and social work, it also has much to offer policy makers and practitioners themselves.

New approach demonstrating how social science can be successful, focusing on context, values, and power.

What do variables really tell us? When exactly do inventions occur? Why do we always miss turning points as they transpire? When does what doesn't happen mean as much, if not more, than what does? Andrew Abbott considers these fascinating questions in Time Matters, a diverse series of essays that constitutes the most extensive analysis of temporality in social science today. Ranging from abstract theoretical reflection to pointed methodological critique, Abbott demonstrates the inevitably theoretical character of any methodology. Time Matters focuses particularly on questions of time, events, and causality. Abbott grounds each essay in straightforward examinations of actual social scientific analyses. Throughout, he demonstrates the crucial assumptions we make about causes and events, about actors and interaction and about time and meaning every time we employ methods of social analysis, whether in academic disciplines, market research, public opinion polling, or even evaluation research. Turning current assumptions on their heads, Abbott not only outlines the theoretical orthodoxies of empirical social science, he sketches new alternatives, laying down foundations for a new body of social theory.