Explore the vast range of titles available.

Game theory is central to understanding human behavior and relevant to all of the behavioral sciences--from biology and economics, to anthropology and political science. However, as The Bounds of Reason demonstrates, game theory alone cannot fully explain human behavior and should instead complement other key concepts championed by the behavioral disciplines. Herbert Gintis shows that just as game theory without broader social theory is merely technical bravado, so social theory without game theory is a handicapped enterprise.

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods.

Numerous popular and scholarly accounts have exposed the deep impact of patrons on the production of scientific knowledge and its applications.Shaky Foundationsprovides the first extensive examination of a new patronage system for the social sciences that emerged in the early Cold War years and took more definite shape during the 1950s and early 1960s, a period of enormous expansion in American social science. By focusing on the military, the Ford Foundation, and the National Science Foundation, Mark Solovey shows how this patronage system presented social scientists and other interested parties, including natural scientists and politicians, with new opportunities to work out the scientific identity, social implications, and public policy uses of academic social research. Solovey also examines significant criticisms of the new patronage system, which contributed to widespread efforts to rethink and reshape the politics-patronage-social science nexus starting in the mid-1960s. Based on extensive archival research,Shaky Foundationsaddresses fundamental questions about the intellectual foundations of the social sciences, their relationships with the natural sciences and the humanities, and the political and ideological import of academic social inquiry.

Real Social Science presents a new, hands-on approach to social inquiry. The theoretical and methodological ideas behind the book, inspired by Aristotelian phronesis, represent an original perspective within the social sciences, and this volume gives readers for the first time a set of studies exemplifying what applied phronesis looks like in practice. The reflexive analysis of values and power gives new meaning to the impact of research on policy and practice. Real Social Science is a major step forward in a novel and thriving field of research. This book will benefit scholars, researchers and students who want to make a difference in practice, not just in the academy. Its message will make it essential reading for students and academics across the social sciences.

In this captivating yet troubling book, Ian Shapiro offers a searing indictment of many influential practices in the social sciences and humanities today. Perhaps best known for his critique of rational choice theory, Shapiro expands his purview here. In discipline after discipline, he argues, scholars have fallen prey to inward-looking myopia that results from--and perpetuates--a flight from reality. In the method-driven academic culture we inhabit, argues Shapiro, researchers too often make display and refinement of their techniques the principal scholarly activity. The result is that they lose sight of the objects of their study. Pet theories and methodological blinders lead unwelcome facts to be ignored, sometimes not even perceived. The targets of Shapiro's critique include the law and economics movement, overzealous formal and statistical modeling, various reductive theories of human behavior, misguided conceptual analysis in political theory, and the Cambridge school of intellectual history. As an alternative to all of these, Shapiro makes a compelling case for problem-driven social research, rooted in a realist philosophy of science and an antireductionist view of social explanation. In the lucid--if biting--prose for which Shapiro is renowned, he explains why this requires greater critical attention to how problems are specified than is usually undertaken. He illustrates what is at stake for the study of power, democracy, law, and ideology, as well as in normative debates over rights, justice, freedom, virtue, and community. Shapiro answers many critics of his views along the way, securing his position as one of the distinctive social and political theorists of our time.

Ethnography is an increasingly important research method in the private sector, yet ethnographic literature continues to focus on an academic audience. Sam Ladner fills the gap by advancing rigorous ethnographic practice that is tailored to corporate settings where colleagues are not steeped in social theory, research time lines may be days rather than months or years, and research sponsors expect actionable outcomes and recommendations. Ladner provides step-by-step guidance at every turn--covering core methods, research design, using the latest mobile and digital technologies, project and client management, ethics, reporting, and translating your findings into business strategies. This book is the perfect resource for private-sector researchers, designers, and managers seeking robust ethnographic tools or academic researchers hoping to conduct research in corporate settings. More information on the book is available at http://www.practicalethnography.com/

This book provides collaborative research teams with a systematic approach for addressing complex real-world problems like widespread poverty, global climate change, organised crime, and escalating health care costs. The three core domains are 1. Synthesising disciplinary and stakeholder knowledge, 2. Understanding and managing diverse unknowns, and 3.Providing integrated research support for policy and practice change. Each of these three domains is organised around five questions 1. For what and for whom? 2. Which knowledge, unknowns and aspects of policy or practice? 3. How? 4. Context? 5. Outcome? This simple framework lays the foundations for developing compilations of concepts, methods and case studies about applying systems thinking, scoping and boundary setting, framing, dealing with values, harnessing and managing differences, undertaking dialogue, building models, applying common metrics, accepting unknowns, advocacy, end-user engagement, understanding authorisation, dealing with organisational facilitators and barriers, and much more. The book makes a case for a new research style—integrative applied research—and a new discipline of Integration and Implementation Sciences or I2S. It advocates for progressing these through an I2S Development Drive. It builds on theory and practice-based research in multi-, inter- and transdisciplinarity, post-normal science, systemic intervention, integrated assessment, sustainability science, team science, mode 2, action research and other approaches. The book concludes with 24 commentaries by Simon Bronitt; L. David Brown; Marcel Bursztyn and Maria Beatriz Maury; Lawrence Cram; Ian Elsum; Holly J. Falk-Krzesinski; Fasihuddin; Howard Gadlin and L. Michelle Bennett; Budi Haryanto; Julie Thompson Klein; Ted Lefroy; Catherine Lyall; M. Duane Nellis; Linda Neuhauser; Deborah O’Connell with Damien Farine, Michael O’Connor and Michael Dunlop; Michael O’Rourke; Christian Pohl; Merritt Polk; Alison Ritter; Alice Roughley; Michael Smithson; Daniel Walker; Michael Wesley; and Glenn Withers. These begin a process of appraisal, discussion and debate across diverse networks.

This book focuses upon the debate about quantitative and qualitative research which took root in the 1960s, although many of the central themes go back centuries. The basic terms of the debate have been felt in many of the disciplines which make up the social sciences, especially sociology, social psychology, education research, organization studies, and evaluation research.

Recognised as the most influential publication in the field, ARM facilitates deep understanding of the Rasch model and its practical applications. The authors review the crucial properties of the model and demonstrate its use with examples across the human sciences. Readers will be able to understand and critically evaluate Rasch measurement research, perform their own Rasch analyses and interpret their results. The glossary and illustrations support that understanding, and the accessible approach means that it is ideal for readers without a mathematical background. Intended as a text for graduate courses in measurement, item response theory, (advanced) research methods or quantitative analysis taught in psychology, education, human development, business and other social and health sciences. Professionals in these areas will also appreciate the book's accessible introduction. Highlights of the new edition include: More learning tools to strengthen readers' understanding including chapter introductions, boldfaced key terms, chapter summaries, activities and suggested readings. Greater emphasis on the use of R packages; readers can download the R code from the Routledge website. Explores the distinction between numerical values, quantity and units, to understand the measurement and the role of the Rasch logit scale (Chapter 4). A new four-option data set from the IASQ (Instrumental Attitude toward Self-assessment Questionnaire) for the Rating Scale Model (RSM) analysis exemplar (Chapter 6). Clarifies the relationship between Rasch measurement, path analysis and SEM, with a host of new examples of Rasch measurement applied across health sciences, education and psychology (Chapter 10).

Geared to the non-statistician, this book covers all phases of survey design and implementation, examining data collection, offering advice on asking targeted questions, improving accuracy and quality of responses and reducing sampling and non-sampling bias.