The European social sciences tend to absorb criticism that has been passed on the European approach and re-label it as a part of what the critique opposes; criticism of European social sciences by “subaltern” social sciences, their “talking back”, has become a frequent line of reflection in European social sciences. The re-labelling of the critique of the European approach to social sciences towards a critique from “Southern” social sciences of “Western” social sciences has somehow turned “Southern” as well as “Western” social sciences into competing contributors to the same “globalizing” social sciences. Both are no longer arguing about the European approach to social sciences but about which social thought from which part of the globe prevails. If the critique becomes a part of what it opposes, one might conclude that the European social sciences are very adaptable and capable of learning. One might, however, also raise the question whether there is anything wrong with the criticism of the European social sciences; or, for that matter, whether there is anything wrong with the European social sciences themselves. The contributions in this book discuss these questions from different angles: They revisit the mainstream critique of the European social sciences, and they suggest new arguments criticizing social science theories that may be found as often in the “Western” as in the “Southern” discourse.

Ever since H.L.A. Hart's self-description of The Concept of Law as an 'exercise in descriptive sociology', contemporary legal theorists have been debating the relationship between legal theory and sociology, and between legal theory and social science more generally. There have been some who have insisted on a clear divide between legal theory and the social sciences, citing fundamental methodological differences. Others have attempted to bridge gaps, revealing common challenges and similar objects of inquiry. Collecting the work of authors such as Martin Krygier, David Nelken, Brian Tamanaha, Lewis Kornhauser, Gunther Teubner and Nicola Lacey, this volume - the second in a three volume series - provides an overview of the major developments in the last thirty years. The volume is divided into three sections, each discussing an aspect of the relationship of legal theory and the social sciences: 1) methodological disputes and collaboration; 2) common problems, especially as they concern different modes of explanation of social behaviour; and 3) common objects, including, most prominently, the study of language in its social context and normative pluralism.

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.

This volume is a unique contribution to the philosophy of the social sciences, presenting the results of cutting-edge philosophers' research alongside critical discussions by practicing social scientists. The book is motivated by the view that the philosophy of the social sciences cannot ignore the specific scientific practices according to which social scientific work is being conducted, and that it will be valuable only if it evolves in constant interaction with theoretical developments in the social sciences. With its unique format guaranteeing a genuine discussion between philosophers and social scientists, this thought-provoking volume extends the frontiers of the field. It will appeal to all scholars and students interested in the interplay between philosophy and the social sciences.

Laboratory Experiments in the Social Sciences is the only book providing core information for researchers about the ways and means to conduct experiments. Its comprehensive regard for laboratory experiments encompasses "how-to explanations, investigations of philosophies and ethics, explorations of experiments in specific social science disciplines, and summaries of both the history and future of social science laboratories. No other book offers such a direct avenue to enlarging our knowledge in the social sciences.This collection of original chapters combines instructions and advice about the design of laboratory experiments in the social sciences with the array of other issues. While there are books on experimental design and chapters in more general methods books on design, theory, and ethical issues, no other book attempts to discuss the fundamental ideas of the philosophy of science or lays out the methods comprehensively or in such detail. Experimentation has recently prospered because of increasing interest in cross-disciplinary syntheses, and this book of advice, guidelines, and observations underline its potential and increasing importance.· Provides a comprehensive summary of issues in social science experimentation, from ethics to design, management, and financing· Offers "how-to" explanations of the problems and challenges faced by everyone involved in social science experiments· Pays attention to both practical problems and to theoretical and philosophical arguments· Defines commonalities and distinctions within and among experimental situations across the social sciences

Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeability, likelihood, prior/posterior distributions, and the Bayesian central limit theorem. Part II covers Bayesian hypothesis testing, model building, and linear regression analysis, carefully explaining the differences between the Bayesian and frequentist approaches. Part III extends Bayesian statistics to multilevel modeling and modeling for continuous and categorical latent variables. Kaplan closes with a discussion of philosophical issues and argues for an "evidence-based" framework for the practice of Bayesian statistics. User-Friendly Features *Includes worked-through, substantive examples, using large-scale educational and social science databases, such as PISA (Program for International Student Assessment) and the LSAY (Longitudinal Study of American Youth). *Utilizes open-source R software programs available on CRAN (such as MCMCpack and rjags); readers do not have to master the R language and can easily adapt the example programs to fit individual needs. *Shows readers how to carefully warrant priors on the basis of empirical data. *Companion website features data and code for the book's examples, plus other resources.

This compact volume covers the main developments in the social sciences since the Second World War. Chapters on economics, human geography, political science, psychology, social anthropology, and sociology will interest anyone wanting short, accessible histories of those disciplines, all written by experts in the relevant field; they will also make it easy for readers to make comparisons between disciplines. A final chapter proposes a blueprint for a history of the social sciences as a whole. Whereas most of the existing literature considers the social sciences in isolation from one other, this volume shows that they have much in common; for example, they have responded to common problems using overlapping methods, and cross-disciplinary activities have been widespread.

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery • use software to carry out data mining tasks • select and assess appropriate models to ensure findings are valid and meaningful • develop basic skills in data preparation, data mining, model selection, and validation • apply concepts with end-of-chapter exercises and review summaries

Fully revised and updated, the second edition of the International Encyclopedia of the Social and Behavioral Sciences, first published in 2001, offers a source of social and behavioral sciences reference material that is broader and deeper than any other. Available in both print and online editions, it comprises over 3,900 articles, commissioned by 71 Section Editors, and includes 90,000 bibliographic references as well as comprehensive name and subject indexes. Provides authoritative, foundational, interdisciplinary knowledge across the wide range of behavioral and social sciences fields Discusses history, current trends and future directions Topics are cross-referenced with related topics and each article highlights further reading