Social scientists are often vexed because their work does not satisfy the criteria of "scientific" methodology developed by philosophers of science and logicians who use the natural sciences as their model. In this study, Paul Diesing defines science not by reference to these arbitrary norms delineated by those outside the field but in terms of norms implicit in what social scientists actually do in their everyday work.
Social scientists are often vexed because their work does not satisfy the criteria of "scientific" methodology developed by philosophers of science and logicians who use the natural sciences as their model. In this study, Paul Diesing defines science not by reference to these arbitrary norms delineated by those outside the field but in terms of norms implicit in what social scientists actually do in their everyday work.
Norwood Russell Hanson was a seminal figure in post-war philosophy and history of science. His major works are landmarks in conceptual analysis and the historical case-study approach in the philosophy of science.
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.
Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.
Alexander L. George was one of the most productive and respected political scientistsof the late twentieth century. He and his wife, Juliette George, wrote one of the firstpsychobiographies, and Professor George went on to write seminal articles and booksfocusing on political psychology, the operational code, foreign policy decisionmaking,case study methodology, deterrence, coercive diplomacy, policy legitimacy, and bridgingthe gap between the academic and policymaking communities. This book is the firstand only one to contain examples of the works across these fields written by AlexanderGeorge and several of his collaborators. • This is a collection of Alexander L. George's works from the major fields to whichhe contributed.• There are biographical essays by his wife and co-author (Juliette L. George), daughter(Mary George Douglass), former student (Dan Caldwell), and professional colleague(Janice Gross Stein).• There are 25 photographs of Alexander L. George and his family which have notpreviously been published.
The use of case studies to build and test theories in political science and the other social sciences has increased in recent years. 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.
All social scientists learn the celebrated theories and frameworks of their predecessors, using them to inform their own research and observations. But before there can be theory, there must be theorizing. Theorizing in Social Science introduces the reader to the next generation of theory construction and suggests useful ways for creating social theory. What makes certain types of theories creative, and how does one go about theorizing in a creative way? The contributors to this landmark collection—top social scientists in the fields of sociology, economics, and management—draw on personal experiences and new findings to provide a range of answers to these questions. Some turn to cognitive psychology and neuroscience's impact on our understanding of human thought, others encourage greater dialogue between and across the arts and sciences, while still others focus on the processes by which observation leads to conceptualization. Taken together, however, the chapters collectively and actively encourage a shift in the place of theory in social science today. Appealing to students and scientists across disciplines, this collection will inspire innovative approaches to producing, teaching, and learning theory.
