Few subjects of social scientific inquiry need interpretive analysis more than the topic of racial politics, yet most US political science employs a narrowly behavioralist orientation. This book argues that it is time for political scientists studying race to more fully engage the issues that generate its political significance. Drawing on the work of interpretive political scholars and methods, Ron Schmidt, Sr. addresses core questions regarding racial politics in the US to demonstrate the value of using interpretive methods to better understand the meaning and significance of political actions, structures and conflicts involving racial identities-not instead of behavioral research but as a necessary addition. Interpreting Racial Politics in the United States will greatly enhance the evolving conversations concerning race and inequality within the US. It will be of great interest to students and scholars of politics and sociology, but also to those interested in deepening their understanding of racial politics.

Elections are episodic; governance is routine. This book studies patterns in public opinion on politics and society between elections in India. By using the survey data covering 24 Indian states including the National Capital Region of Delhi (NCR), it will serve as State barometers of public opinion. The surveys seek to understand how politics and governance processes are nested in the social and political relationships between citizens inter se and with government functionaries. The book explores citizen perceptions about the social and political universes they inhabit in periods between elections. It examines social attitudes of citizens, friendship ties across social groups, gender roles and relationships; opinions on governance, ease of public service access, the citizen-state interface, and trust in political institutions; and, political attitudes and identity, nationalism, freedom of expression, and populism. This book explores public perceptions of everyday development and governance outcomes that are shaped by how the government functions between elections: how it relates to citizens on a regular basis; how it provides routine public services to them; and how public order is maintained. An incisive study on public opinion on politics, society, and governance in India, this book will be of great interest to scholars and researchers of political science, governance, public policy, and South Asian studies. It will also be of immense interest to bureaucrats, policymakers, think tanks, and organisations working in the areas of development studies, politics, society, and governance.

China's economy has boomed, but a potentially disastrous side effect - along with pollution and a growing income gap between urban and rural regions - is the effects obesity will have on the country's fragile healthcare system. Today's overweight in China can look to a mixed future of bright economic hopes for their country, and poor and deteriorating health for themselves. From a situation 20 years ago when diets were limited by food availability, and famine was still a recent memory, China's urban centres have seen alarmingly rising rates of obesity. Throughout the country an estimated 200 million people out of a total population of around 1.3 billion were overweight (over 15%). Why is this issue so important? Taking into account that the recent period of stable world economic growth has in large part been driven by the availability of cheap labour in China, which produces much of the goods that keep the retail tills ringing elsewhere in the world, the issue of China's rising obesity is an issue of potentially global economic significance. Consider a scenario just a few years down the line, where there are so many overweight urban Chinese, suffering from obesity-related illness, that the government, in order to pay for increased healthcare treatments, has to raise the levels of income and other tax to pay for this huge and continual expense.

The third edition of Research Methods for Political Science retains its effective approach to helping students learn what to research, why to research and how to research. The text integrates both quantitative and qualitative approaches to research in one volume and covers such important topics as research design, specifying research problems, designing questionnaires and writing questions, designing and carrying out qualitative research and analyzing both quantitative and qualitative research data. Heavily illustrated, classroom tested, exceptionally readable and engaging, the text presents statistical methods in a conversational tone to help students surmount "math phobia." Updates to this new edition include: Research topics chapters have been upgraded and expanded. Two mixed methods design chapters have been added. A new chapter on hermeneutic analysis designs and research with large data sets. The chapter on multivariate statistics has been expanded, with an expanded discussion on logistic regression. Tools on how to prepare and present research findings are now featured in the appendix, allowing instructors more flexibility when teaching their courses. Research Methods for Political Science will give students the confidence and knowledge they need to understand the methods and basics skills for data collection, presentation and analysis.

Demographic trends and patterns provide valuable insights into social structure and behavior, both past and present, and are particularly useful in gauging the effect and extent of social change. While national, state, and local records of pre-1900 demographic information exist, they are often incomplete, inaccurate, or missing altogether. An alternative source of information is genealogical material, which can be used to cross-check the accuracy of demographic directions generalized from locational records. "Historical Demography through Genealogies" makes extensive use of genealogical information to measure pre-1900 trends in various vital statistics. In a series of research inquiries, author Albert E. McCormick pursues the relationship of these demographic processes to the social structure, values, and customs of the times. Individual chapters focus on fertility, marriage, and mortality; childlessness; bachelor/spinsterhood and remarriage; infant mortality and child-naming; occupational/structural mobility, including the status of women. McCormick's results shed further light upon demographic processes as they existed before the advent of reliable national records, adding intriguing comprehensions of nineteenth century society and social life. Demographers, sociologists, social historians, and students of social change will find "Historical Demography through Genealogies" a valuable, comprehensive addition to their research collection.

This open access wide-ranging collation of papers examines a host of issues in studying second-generation immigrants, their life courses, and their relations with older generations. Tightly focused on methodological aspects, both quantitative and qualitative, the volume features the work of authors from numerous countries, from differing disciplines, and approaches. A key addition in a corpus of literature which has until now been restricted to studying the childhood, adolescence and youth of the children of immigrants, the material includes analysis of longitudinal and transnational efforts to address challenges such as defining the population to be studied, and the difficulties of follow-up research that spans both time and geographic space. In addition to perceptive reviews of extant literature, chapters also detail work in surveying the children of immigrants in Europe, the USA, and elsewhere. Authors address key questions such as the complexities of surveying each generation in families where parents have migrated and left children in their country of origin, and the epistemological advances in methodology which now challenge assumptions based on the Westphalian nation-state paradigm. The book is in part an outgrowth of temporal factors (immigrants' children are now reaching adulthood in more significant numbers), but also reflects the added sophistication and sensitivity of social science surveys. In linking theoretical and methodological factors, it shows just how much the study of these second generations, and their families, can be enriched by evolving methodologies. This book is open access under a CC BY license

Devoted exclusively to prospective memory, this volume organizes the research and thoughts of the important contributors to the field in one comprehensive resource. The chapter authors not only focus on their own work, but also review other research areas and address those where the methods and theories from the retrospective memory literature are useful and where they fall short. Each section is followed by at least one commentary written by a prominent scholar in the field of memory. The commentators present critical analyses of the chapters, note ideas that they found particularly exciting, and use these ideas as a foundation on which to elaborate their own views of prospective memory. This volume will stimulate the thinking of active prospective memory researchers, provide a coherent organization of the area for the increasing number of people who are interested in prospective memory but who are not yet actively conducting research in the area, and serve as a book of readings for upper division seminars.

The Routledge Handbook of Communication and Bullying provides an essential and unique analysis of bullying and anti-bullying efforts from a communication-based perspective. Drawing on communication theory and compelling empirical research, this volume offers valuable international perspectives of this pervasive concern, examined within varied contexts. In addition to providing exemplary data-based scholarship, the Handbook is comprised of first-hand accounts of those who have been bullied, adding an integral pragmatic and complementary dimension to the topic. This anthology serves as a useful resource for educators, administrators, managers, and other stakeholders who are challenged with this difficult social issue. Responding to the various charges emanating from the National Communication Association's (NCA) Anti-Bullying Project, this collection constitutes a valuable foundation from which to draw as conversations about bullying continue around the globe.

This book presents a novel and accessible way to learn about designing and conducting social research. Unlike traditional social research methods books, it provides a 'real world' account of social researchers' experiences and learning achieved through conducting research in a variety of fields. It contains an eclectic collection of research and advice for conducting research from social researchers with varying backgrounds. Suggestions are made in relation to gaining access to research sites, conducting research on sensitive topics such as suicide, child sexual abuse and homelessness, ensuring the inclusive participation of participants with intellectual disabilities and children. Also included are discussions of conducting practitioner research, conducting research on individual change, psychoanalytically informed research, documentary research and post qualitative research. Other chapters focus on criticality in research on topics that have become politicised and moralised, ensuring that research conducted is credible and how knowledge in research is constructed through both the theoretical framework used and how it is conducted. Bringing together a diverse collection of social research projects, Designing and Conducting Research in Social Science, Health and Social Care will be of interest to students, educators and researchers in the social sciences and professionals in related areas.

In 2010, the International Cyberbullying Think Tank was held in order to discuss questions of definition, measurement, and methodologies related to cyberbullying research. The attendees' goal was to develop a set of guidelines that current and future researchers could use to improve the quality of their research and advance our understanding of cyberbullying and related issues. This book is the product of their meetings, and is the first volume to provide researchers with a clear set of principles to inform their work on cyberbullying. The contributing authors, all participants in the Think Tank, review the existing research and theoretical frameworks of cyberbullying before exploring topics such as questions of methodology, sampling issues, methods employed so far, psychometric issues that must be considered, ethical considerations, and implications for prevention and intervention efforts. Researchers as well as practitioners seeking information to inform their prevention and intervention programs will find this to be a timely and essential resource.

With recent advances in computing power and the widespread availability of preference, perception and choice data, such as public opinion surveys and legislative voting, the empirical estimation of spatial models using scaling and ideal point estimation methods has never been more accessible.The second edition of Analyzing Spatial Models of Choice and Judgment demonstrates how to estimate and interpret spatial models with a variety of methods using the open-source programming language R. Requiring only basic knowledge of R, the book enables social science researchers to apply the methods to their own data. Also suitable for experienced methodologists, it presents the latest methods for modeling the distances between points. The authors explain the basic theory behind empirical spatial models, then illustrate the estimation technique behind implementing each method, exploring the advantages and limitations while providing visualizations to understand the results. This second edition updates and expands the methods and software discussed in the first edition, including new coverage of methods for ordinal data and anchoring vignettes in surveys, as well as an entire chapter dedicated to Bayesian methods. The second edition is made easier to use by the inclusion of an R package, which provides all data and functions used in the book. David A. Armstrong II is Canada Research Chair in Political Methodology and Associate Professor of Political Science at Western University. His research interests include measurement, Democracy and state repressive action. Ryan Bakker is Reader in Comparative Politics at the University of Essex. His research interests include applied Bayesian modeling, measurement, Western European politics, and EU politics. Royce Carroll is Professor in Comparative Politics at the University of Essex. His research focuses on measurement of ideology and the comparative politics of legislatures and political parties. Christopher Hare is Assistant Professor in Political Science at the University of California, Davis. His research focuses on ideology and voting behavior in US politics, political polarization, and measurement. Keith T. Poole is Philip H. Alston Jr. Distinguished Professor of Political Science at the University of Georgia. His research interests include methodology, US political-economic history, economic growth and entrepreneurship. Howard Rosenthal is Professor of Politics at NYU and Roger Williams Straus Professor of Social Sciences, Emeritus, at Princeton. Rosenthal's research focuses on political economy, American politics and methodology.

A Volume in The Montana Mathematics Enthusiast: Monograph Series in Mathematics EducationSeries Editor Bharath Sriraman, The University of MontanaInterdisciplinarity is increasingly viewed as a necessary ingredient in the training of future oriented 21st century disciplinesthat rely on both analytic and synthetic abilities across disciplines. Nearly every curricular document or vision statement ofschools and universities include a call for promoting creativity in students. Yet the construct of creativity and giftednessacross disciplines remains elusive in the sense that the prototypical examples of such work come from eminent scientists, artists and mathematicians, and little if any work has been conducted with non-eminent individuals. This monograph is anattempt to fill this gap by putting forth the view that interdisciplinarity and creativity are related constructs, and that thecultivation of domain general creativity is possible. Mathematics has historically been anchored to numerous disciplineslike theology, natural philosophy, culture and art, allowing for a flexibility of thought that is difficult to cultivate in otherdisciplines. In this monograph, the numerous chapters from Australia, U.S.A., Canada, Cyprus, Denmark and Japanprovide a compelling illustration of the intricate connection of mathematics with literature, paradoxes, history, technologyand modeling, thus serving as a conduit for interdisciplinarity, creativity and learning to occur.

This reference identifies information resources concerning virtual reality and provides detailed instruction on how to use these resources in an effective research strategy. Most of the chapters overview particular types of information sources, such as periodical and citation indexes, conference proceedings, technical reports, dissertations, and monographs. The chapters explain how to use these tools to gather information about virtual reality, and discussions of key resources are always placed in the larger context of information-gathering strategies specific to the field. Most of the resources are available in large public and academic libraries. The volume does not presuppose sophisticated technical knowledge of libraries, and it is written for the student and general researcher. The volume concludes with a set of algorithms that can be used to locate resources in the most typical searches, and a list of producers and publishers of related material.

The book is written specifically for students or young researchers with no prior experience in the procedure of index construction. The book is designed as a self-teaching aid, thus some terms related to index are clarified, and some typologies of this kind of variable and the procedure of constructing index are presented. Using examples and datasets from social research, tables and SPSS screen captures, the readers are guided through this process. Some problems encountered in practice in this process of constructing an index are highlighted and some solutions are presented.

Researching the Far Right brings together researchers from across the humanities and social sciences to provide much needed discussion about the methodological, ethical, political, personal, practical and professional issues and challenges that arise when researching far right parties, their electoral support, and far right protest movements. Drawing on original research focussing mainly on Europe and North America over the last 30 years, this volume explores in detail the opportunities and challenges associated with using ethnographic, interview-based, quantitative and online research methods to study the far right. These reflections are set within a wider discussion of the evolution of far right studies from a variety of disciplinary viewpoints within the humanities or the social sciences, tracing the key developments and debates that shape the field today. This volume will be essential reading for students and scholars with an interest in understanding the many manifestations of the far right and cognate movements today. It also offers insight and reflection that is likely to be valuable for a wider range of students and scholars across the humanities and social sciences who are carrying out work of an ethically, politically, personally, practically and professionally challenging nature.

R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis. Key features: Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R Provides a step-by-step guide that you can replicate using your own data Includes exercises in every chapter for course use or self-study Focuses on practical-based approaches to statistical inference rather than mathematical formulae Supplemented by an R package, including all data As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions.

Empowering the Voice of the Teacher Researcher through a Culture of Inquiry is essentially a description of one school's initiatives to use collaborative communities and action research to empower teacher research and a culture of collective inquiry. It is written by teachers primarily for teachers and teacher educators. Of course, none of the initiatives described in the text would be possible without the visionary leadership of school and district administrators. Because administrative support is foundational to the process, school and district administrators and staff developers will also be interested in reading about how this school's principal and assistant principal set the stage for developing their community of learners. There are many sound action research texts on the market. This text is apart by its first-person accounts of teachers' experiences with action research as examples of profound possibilities for professional growth. As such, this book, written by teachers for other teachers and then contextualized by the Editors so that the relevance is clear to a broader audience, fills an important niche in the literature.

The book showcases a selection of peer-reviewed papers, the preliminary versions of which were presented at a conference held 11-13 June 2011 in Bologna and organized jointly by the Italian Statistical Society (SIS), the Institute national Institute of Statistics (ISTAT) and the Bank of Italy. The theme of the conference was "Statistics in the 150 years of the Unification of Italy."

The celebration of the anniversary of Italian unification provided the opportunity to examine and discuss the methodological aspects and applications from a historical perspective and both from a national and international point of view. The critical discussion on the issues of the past has made it possible to focus on recent advances, considering the studies of socio-economic and demographic changes in European countries. "

With an emphasis on exploring measurable aspects of ancient narratives, Maths Meets Myths sets out to investigate age-old material with new techniques. This book collects, for the first time, novel quantitative approaches to studying sources from the past, such as chronicles, epics, folktales, and myths. It contributes significantly to recent efforts in bringing together natural scientists and humanities scholars in investigations aimed at achieving greater understanding of our cultural inheritance. Accordingly, each contribution reports on a modern quantitative approach applicable to narrative sources from the past, or describes those which would be amenable to such treatment and why they are important. This volume is a unique state-of-the-art compendium on an emerging research field which also addresses anyone with interests in quantitative approaches to humanities.

This book focuses on the question of relationality. Despite the numerous motifs introduced to the discourse pertaining to Margaret S. Archer's concept, we notice that some often reappear. What frequently appears is the concept of agency, closely related to the matter of the subject's reflexivity. We also include papers that refer to methodological dilemmas. However, all collected texts directly consider the essence of the concept of the human person and society in reaction to the ontology of the person proposed by Archer. The common thread and horizon of these elaborations is Archer's concept and Pierpaolo Donati's relational sociology. Thus, this publication seeks to gain broader public and open new research perspectives in sociology.

This book provides an introduction to the models, methods, and results of some rescheduling problems in the presence of unexpected disruption events, including job unavailability, arrival of new jobs, and machine breakdown. The occurrence of these unexpected disruptions may cause a change in the planned schedule, which may render the originally feasible schedule infeasible. Rescheduling, which involves adjusting the original schedule to account for a disruption, is necessary in order to minimize the effects of the disruption on the performance of the system. This involves a trade-off between finding a cost-effective new schedule and avoiding excessive changes to the original schedule. This book views scheduling theory as practical theory, and it has made sure to emphasize the practical aspects of its topic coverage. Thus, this book considers some scenarios existing in most real-world environments, such as preventive machine maintenance, and deteriorating effect where the actual processing time of a job gets longer along with machine's usage and age. To alleviate the effect of disruption events, some flexible strategies are adopted, including allocation extra resources to reduce job processing times or rejection the production of some jobs. For each considered scenario, depending on the model settings and on the disruption events, this book addresses the complexity, and the design of efficient exact or approximated algorithms. Especially when optimization methods and analytic tools fall short, this book stresses metaheuristics including improved elitist non-dominated sorting genetic algorithm and differential evolution algorithm. This book also provides extensive numerical studies to evaluate the performance of the proposed algorithms. The problem of rescheduling in the presence of unexpected disruption events is of great importance for the successful implementation of real-world scheduling systems. There is now an astounding body of knowledge in this field. This book is the first monograph on rescheduling. It aims at introducing the author's research achievements in rescheduling. It is written for researchers and Ph.D. students working in scheduling theory and other members of scientific community who are interested in recent scheduling models. Our goal is to enable the reader to know about some new achievements on this topic.

Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory and applications. It also focuses on the assorted challenges that arise in analyzing longitudinal data.

After discussing historical aspects, leading researchers explore four broad themes: parametric modeling, nonparametric and semiparametric methods, joint models, and incomplete data. Each of these sections begins with an introductory chapter that provides useful background material and a broad outline to set the stage for subsequent chapters. Rather than focus on a narrowly defined topic, chapters integrate important research discussions from the statistical literature. They seamlessly blend theory with applications and include examples and case studies from various disciplines.

Destined to become a landmark publication in the field, this carefully edited collection emphasizes statistical models and methods likely to endure in the future. Whether involved in the development of statistical methodology or the analysis of longitudinal data, readers will gain new perspectives on the field.

This book provides an overview of ninety key concepts which often trouble those who are new to researching within the social sciences. It covers theories of knowledge, methodologies and methods. Each entry offers a definition of a concept, shows how researchers have used that concept in their research and discusses difficulties that the concept presents. The book supports those undertaking their own social research projects by providing detailed critical commentary on key concepts in a particularly accessible way. In exploring these concepts, a wide range of research reports across many different fields are described. These include not only classic accounts, but also a broad selection of recent studies, some written by new researchers. The book will be useful for higher-education students carrying out projects within social science faculties at the end of their first degree or during a master's programme, though it will also be helpful for those undertaking doctoral research, and some entries have been written with the production of a thesis in mind. This second edition of Research Methods: The Key Concepts provides a more comprehensive and up-to-date coverage, as old entries have been updated and 19 new entries added. It helps new researchers to navigate the changing landscape of social research by recognising a) the changes in the ways researchers are thinking about knowledge and acquiring knowledge, b) the increasing use of digital tools to collect data, and c) the desire many contemporary researchers feel to promote social justice through their research.

This book focuses on Doris Lessing's social and political reappraisal of the family. It looks at how her fiction both critiques traditional patriarchal family structures and explores alternative and non-normative configurations of family. The continuation of traditional ideas about family suggests that Lessing's fiction remains meaningful and relevant today. Kinship Reimagined: Family in Doris Lessing's Fiction is a thoroughly researched, original and interesting contribution to both the study of Doris Lessing's work and the study of the family, as it is represented in twentieth-century fiction. Senturk's argument - that Lessing's work develops from a critique of the family towards a resignification of it - is clearly argued, well structured, and engaging to read. Susan Watkins, Professor in Cultural Studies and Humanities, Leeds Beckett University, UK Selcuk Senturk's monograph is a valuable contribution to the study of one of the twentieth century's most important authors. Senturk analyzes with great insight the ways that Doris Lessing first resisted, then reconsidered, and finally reimagined family roles and kinship structures, as well as gender norms, during her prolific career. In Senturk's work, the family emerges as not just a theme in Lessing's writings but a key critical concept for understanding their import. Drawing expertly on such current critical discourses as feminism and eco-criticism, Senturk makes clear the enduring relevance of Lessing's novels, showing how they continue to speak to the urgent problems of our time. Dr Cornelius Collins, Co-editor in Chief in Doris Lessing Studies, Fordham University, USA. Selcuk Senturk provides informed, systematic interpretation of the Western family across the corpus of Lessing's novels. This insightful, sustained analysis reaches original and revealing conclusions, especially concerning lesser studied works, such as Mara and Dann and The Sweetest Dream. Sandra Singer, Associate Professor in the Department of English and Theatre Studies, University of Guelph, CA