This book offers a guide to sociology that explores its theoretical and methodological dimensions. Providing the student with a sense of the reasoned character of the discipline, it traces how different theories and methods relate to one another, exploring the particular problems they spawn and the debates that have arisen in response. The guide is written to be easy to use: individual chapters stand alone as well as fit into the overarching narrative; boxes in the text explain key concepts and feature particular methods, theories or key figures; and annotated further reading lists are provided throughout.

A review of the dissemination of spatial data. Topics addressed include: spatial information infrastructure and innovation; designing information policy research; and evaluating information use, access and dissemination. The work also contains comparative case studies of information dissemination.

The significance that practitioners are placing on the use of multilevel models is undeniable as researchers want to both accurately partition variance stemming from complex sampling designs and understand relations within and between variables describing the hierarchical levels of these nested data structures. Simply scan the applied literature and one can see evidence of this trend by noticing the number of articles adopting multilevel models as their primary modeling framework. Helping to drive the popularity of their use, governmental funding agencies continue to advocate the use of multilevel models as part of a comprehensive analytic strategy for conducting rigorous and relevant research to improve our nation's education system. Advances in Multilevel Modeling for Educational Research: Addressing Practical Issues Found in Real?World Applications is a resource intended for advanced graduate students, faculty and/or researchers interested in multilevel data analysis, especially in education, social and behavioral sciences. The chapters are written by prominent methodological researchers across diverse research domains such as educational statistics, quantitative psychology, and psychometrics. Each chapter exposes the reader to some of the latest methodological innovations, refinements and state?of?the?art developments and perspectives in the analysis of multilevel data including current best practices of standard techniques. We believe this volume will be particularly appealing to researchers in domains including but not limited to: educational policy and administration, educational psychology including school psychology and special education, and clinical psychology. In fact, we believe this volume will be a desirable resource for any research area that uses hierarchically nested data. The book will likely be attractive to applied and methodological researchers in several professional organizations such as the American Educational Research Association (AERA), the American Psychological Association (APA), the American Psychological Society (APS), the Society for Research on Educational Effectiveness (SREE), and other related organizations.

This volume introduces a series of different data-driven computational methods for analyzing group processes through didactic and tutorial-based examples. Group processes are of central importance to many sectors of society, including government, the military, health care, and corporations. Computational methods are better suited to handle (potentially huge) group process data than traditional methodologies because of their more flexible assumptions and capability to handle real-time trace data. Indeed, the use of methods under the name of computational social science have exploded over the years. However, attention has been focused on original research rather than pedagogy, leaving those interested in obtaining computational skills lacking a much needed resource. Although the methods here can be applied to wider areas of social science, they are specifically tailored to group process research. A number of data-driven methods adapted to group process research are demonstrated in this current volume. These include text mining, relational event modeling, social simulation, machine learning, social sequence analysis, and response surface analysis. In order to take advantage of these new opportunities, this book provides clear examples (e.g., providing code) of group processes in various contexts, setting guidelines and best practices for future work to build upon. This volume will be of great benefit to those willing to learn computational methods. These include academics like graduate students and faculty, multidisciplinary professionals and researchers working on organization and management science, and consultants for various types of organizations and groups.

This volume systematically details both the basic principles and new developments in Data Envelopment Analysis (DEA), offering a solid understanding of the methodology, its uses, and its potential. New material in this edition includes coverage of recent developments that have greatly extended the power and scope of DEA and have lead to new directions for research and DEA uses. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. The first nine chapters cover the basic principles of DEA, while the final seven chapters provide a more advanced treatment.

Offering a variety of innovative methods and tools, The Oxford Handbook of Multi- and Mixed-Methods Research Inquiry provides the most comprehensive and up-to-date presentation on multi- and mixed-methods research available. Written in clear and concise language by leading scholars in the field, it enhances and disrupts traditional ways of asking and addressing complex research questions. Topics include an overview of theory, paradigms, and scientific inquiry; a guide to conducting a multi- and mixed-methods research study from start to finish; current uses of multi- and mixed-methods research across academic disciplines and research fields; the latest technologies and how they can be incorporated into study design; and a presentation of multiple perspectives on the key remaining debates. Each chapter in the volume is structured to include state-of-the-art research examples that cross a range of disciplines and interdisciplinary research settings. In addition, the Handbook offers multiple quantitative and qualitative theoretical and interdisciplinary visions and praxis. Researchers, faculty, graduate students, and policy makers will appreciate the exceptional, timely, and critical coverage in this Handbook, which deftly addresses the interdisciplinary and complex questions that a diverse set of research communities are facing today.

This book presents a perspective on the role of modeling that has relevance to both practice and theory. The authors provide an empirical assessment of the role of computer models in urban policy decisions, presenting a survey and four detailed case studies focusing on the use of a specific class of computer-based fiscal impact models in American logical governments. The findings are interpreted in light of this perspeectiv on the social and political dynamics of models in the policy process. From this perspective, called "consensus modeling," a model is viewed as a tool for facilitating negotiation, and, thereby, consensus in the policymaking process.

The first comprehensive statistical analysis of human rights attainments and improvements over time, this book seeks to answer the question, Why do some countries better observe human rights than others, and what can be done to advance the cause of human rights around the world? Haas's data support his argument that economic sanctions against countries that violate human rights are likely to be counterproductive. When information flows more freely and economies are more pluralistic, competing political parties emerge, and basic human rights are increasingly respected. When liberal democracies have sufficient prosperity to adopt welfare state policies, women's rights are most likely to advance.

First published Open Access under a Creative Commons license as What is Qualitative Longitudinal Research?, this title is now also available as part of the Bloomsbury Research Methods series. This volume offers a new introduction to an evolving research method in the social sciences. Qualitative Longitudinal (QL) research is conducted through time. In its qualitative dimensions it opens up the potential to 'think dynamically' in creative, flexible and innovative ways. QL enquiry is rooted in a long-established tradition of qualitative temporal research, spanning the fields of social anthropology, sociological re-studies and biographical research. But over the past two decades, a growing body of scholarship has begun to document this approach and explore its theoretical underpinnings. This in turn has fuelled a growing interest in and rapid uptake of QL methodology across the disciplines and in international context. This practical volume will be a first port of call for students and researchers wishing to use QL research in their own projects. The chapters follow a logical development, from conceptual and methodological foundations, to research practice and ethics, to the generation and analysis of data. Each chapter offers practical examples drawn from the research field to illustrate key themes and the rich possibilities for new applications.

This book provides new ways of thinking about educational processes, using quantitative and qualitative methodologies. Concrete examples of research techniques are provided for those conducting research with marginalized populations or about marginalized ideas. This volume asserts theoretical models related to research methods and the study of underrepresented groups. Ultimately, it aims at expanding knowledge itself - altering the center by allowing the margins to inform it - allowing it to be created and extended to include those ways of knowing that have historically been unexplored or ignored.

Volume five of this expanding series of books draws together a collection of papers based on a particular form of critical ethnography developed by Phil Francis Carspecken and his colleagues at the University of Houston. Each chapter is based on a unique field project conducted in the Houston area which was planned and conducted by its particular author, but each chapter shares and exemplifies a common methodological theory. The Houston version of critical ethnography attempts to deal with some challenges from certain feminist and postmodern writers about the validity of qualitative research, and the authors argue that clear methods and standards exist for conducting qualitative studies such that well supported findings may be distinguished from highly questionable ones. Following an initial chapter by Carspecken which outlines the theory and methodology adopted, are seven case studies which cover such topics as multicultural literature, the supervision of teachers in training, school restructuring, charter schools, and race and standardized testing.

This volume seeks to address the emerging relationships between qualitative research and digital data. At the present time, ubiquitous digital data is altering the foci of research, the contexts in which research takes place, and the methods and tools available for qualitative research. Alongside new challenges and opportunities, there are many ways in which established qualitative methods are being used to situate and interpret digital phenomena. This book examines and engages with the ambivalence of digitization, illuminating the diverse ways in which researchers approach, negotiate, understand and interpret objects and practices of digital research. The chapters in this volume are organized around four key themes: researching impacts of digitization on social worlds; researching uses of digital data within social worlds; researching digital visualization of social worlds; researching with digital data and methods. The volume is designed to appeal to qualitative researchers seeking to study processes of digitization, adjust existing methodologies for digital worlds, and develop new ways of examining and using digital research.

Research, Action, and Change offers an introduction to action research in Catholic schools through the specific lens of community and spirituality and provides eight original action research studies conducted by leaders in Catholic schools. Studies include action research on literacy practices of high school students, differentiated instruction and the introduction of an ELL program in elementary schools, the introduction of an advisory program for at-risk high schools students, accessing federal IDEA funds, and more.

Researched and written by a collaborative team of Americans and Russians, "Marriages in Russia" explores the myths and realities of how the first years of market transformation have affected Russian family life. The research project, in which 2418 individual interviews of randomly sampled heterosexual couples are used, was initiated to determine if the relationships between gender attitudes and the relative social statuses of spouses--based on such factors as education, occupational prestige, and income--influence the marital quality spouses experience. Whether these variables are linked to domestic violence, as data show they are in the United States, is also examined. The results are surprising in that they often contradict general beliefs about Russian gender attitudes and gender attributes, and the analysis of these findings is ultimately a fascinating look at the post-Cold War realities of family life in Russia.

This is volume 15 of a series which aims to provide details of advances in stratification research from various, international, points of view.

This collection explores the contested meanings and diverse practices of social research in the context of contemporary theoretical debates in cultural and social theory, addressing fundamental questions facing those working in the social and human sciences today.

The 'European project' is in a state of perpetual crisis in which the root cause is a lack of identification by ordinary citizens with Europe and European institutions. The Evolution of European Identities employs state of the art analysis of in-depth interviews by renowned practitioners to give a unique 'bottoms up' perspective on the development (or its lack) of a sense of 'European mental space'. Linking conceptual findings with case studies, the book provides unique insights into groups that have been especially sensitized by their life experiences to question what it means to be European in the twenty-first century. The groups explored in this book include: adults who experienced European education exchanges when young; transnational workers; civil society organization activists; persons involved in cross-border intimate relationships; farmers who are subject to European markets, regulations and subsidies; and migrants into 'fortress Europe'.

Hispanic Americans make up the largest ethnic group in the country, and this volume accurately reflects their concerns, interests, and issues. By providing easy access to over 300 statistical charts, graphs, and tables, the book allows novice and professional researchers to easily locate statistics on: demographics, immigration, naturalization, social characteristics, education, health, politics, labor force, and economic conditions. The Statistical Handbook on U.S. Hispanics also includes a glossary of terms and a list of sources to be consulted for more information or additional statistical data. An extensive subject index makes it simple to locate specific tables and charts.

A comparative survey which discusses how national leaders in six Western democracies, Australia, Canada, France, Germany, Great Britain, and the United States, are nominated for the highest office in their country. The combinations of methods each country utilizes to nominate their leaders are described. The text emphasizes that most national leaders have served a long apprenticeship in various public offices--sometimes having made several attempts--before actually being nominated to the nation's highest public office. Increasingly, the text shows that opinion polls, television, and professional campaign management are playing a greater role in the leadership selection process in all six countries. This book will be of interest to upper-level college and graduate students and faculty in comparative government, political parties, and public affairs and academic as well as public libraries.

Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance Emphasizing interdisciplinary coverage, Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. The book presents recent and trending developments in a diverse, yet closely integrated, set of research topics within the social sciences and facilitates the transmission of new ideas and methodology across disciplines while maintaining manageability, coherence, and a clear focus. Bayesian Inference in the Social Sciences features innovative methodology and novel applications in addition to new theoretical developments and modeling approaches, including the formulation and analysis of models with partial observability, sample selection, and incomplete data. Additional areas of inquiry include a Bayesian derivation of empirical likelihood and method of moment estimators, and the analysis of treatment effect models with endogeneity. The book emphasizes practical implementation, reviews and extends estimation algorithms, and examines innovative applications in a multitude of fields. Time series techniques and algorithms are discussed for stochastic volatility, dynamic factor, and time-varying parameter models. Additional features include: * Real-world applications and case studies that highlight asset pricing under fat-tailed distributions, price indifference modeling and market segmentation, analysis of dynamic networks, ethnic minorities and civil war, school choice effects, and business cycles and macroeconomic performance * State-of-the-art computational tools and Markov chain Monte Carlo algorithms with related materials available via the book s supplemental website * Interdisciplinary coverage from well-known international scholars and practitioners Bayesian Inference in the Social Sciences is an ideal reference for researchers in economics, political science, sociology, and business as well as an excellent resource for academic, government, and regulation agencies. The book is also useful for graduate-level courses in applied econometrics, statistics, mathematical modeling and simulation, numerical methods, computational analysis, and the social sciences.

Dennis McInerney's Publishing Your Psychology Research has bridged a much needed gap in the research process literature, providing a well-oiled treaty from both insider and outsider perspectives as to what it takes to become a credible and published author.Dr. Shawn Van EttenDirector of Institutional ResearchHerkimer County Community CollegeState University of New YorkDo you want to publish your psychology research in the 'best' journals? Whether you are new to the game or a seasoned researcher, Dennis McInerney shows you how to maximise your chances of publication from the very beginning of your research project. Richly illustrated with tips and examples, Publishing Your Psychology Research demystifies the publication process. It explains how to design your research to ensure it has potential for publication, and how to write up your results into an effective article. It outlines what journal editors are looking for, how to select the appropriate journals to approach, and how to react to reviewers' feedback.Publishing Your Psychology Research is an essential handbook for anyone interested in building a reputation as a researcher in their chosen field of psychology. is lead author of the widely used australian textbook, Educational Psychology: Constructing Learning (Pearson), and author of Helping Kids Achieve Their Best (Allen + Unwin). He has published many research papers in major international journals, revieww articles for scholarly journals and is series editor for Research on Sociocultural Influences on Learning and Motivation (Information Age Press).

Formulating effective responses to the global challenges of mitigating climate change and securing a sustainable energy future requires a clear understanding of the interdependent causalities between institutions, local decision making, strategic alliances and eco-innovations, as well as policies. It has been acknowledged that the linear "Manhattan project" model is not an adequate governance model for mastering the dynamic complexity of socio-technical transitions; therefore this book aims at advancing research on systematic transition management models. It offers qualitative and quantitative analyses of socio-technical transitions in road transportation and housing, bringing together tailored theorizing on sustainability transitions and applied system dynamics modeling. It highlights the interconnected causal feedbacks that are required to overcome the lock-in situation in road transportation and housing fueled by fossil energies. Showing which concerted actions and framework conditions are required in the transition phases in order to initiate and sustain socio-technical transition, it serves as a guide to model-based strategy making, policy design and analyses in support of sustainable futures.

This guide to information-finding sources and techniques is attuned to the needs of researchers in all the social and behavioral sciences with a particular focus on public administration and related fields. This guide is unique in its analyses of how to design the research process in an evolving manner using approaches that reflect combinations of models, methods, and data sources. This guide is also comprehensive in its coverage of a broad spectrum of the important primary and secondary source materials in all their current forms. Students and researchers in the policy sciences, especially at the graduate level, will find this research and reference guide an essential one.

Simpson's broadly conceived guide covers sources and methods of approach to doing social science research. The book opens with an analysis of information-finding and public administration as a special and disparate series of fields for study. Subsequent chapters discuss research strategies and designs and offer annotative bibliographies evaluating the usefulness of primary and secondary sources, examining guides to the literature, the conventional library catalog, journal literature, indexing and abstracting services, computer searches, separately published bibliographies, public statistics, machine-readable data files, government documents, sources of methodology and research instruments, other sources of information, archives and other primary sources, and annual reviews. This topical and logically developed set of chapters makes the guide easy to use, and a general subject index makes this reference most accessible.

Is the behaviour of a crowd in an emergency situation predictable? Are the different patterns occurring in pedestrian flow based on common rules? How does panic change human reactions? These and other questions have been the scope of the international conference on Pedestrian and Evacuation Dynamics. This book contains elaborate manuscripts written by scientists as well as practitioners from various disciplines: architecture, civil, naval and fire safety engineering, physics, computer science and mathematics. There has been considerable progress over the last decade and the central topic of human motion and behaviour has come more and more into the centre of interest, mainly due to increasing computer power and the development of new simulation models. This is the first conference dealing with modelling and simulation of pedestrian and crowd movement as well as the dynamical aspects of evacuation processes.