The relevance of applied economic and social analysis stands or falls with the strength of the analytical tools, on the one hand, and the appropriateness of the underlying data framework, on the other hand. Whereas virtually all economic and sociological research focuses on the analytical tools, this book deals with the design of an appropriate data framework. In many countries, it is not so much a lack of data per se that is the problem. Official statistics often comprise a wealth of information, laid down in many different publications. The main difficulty then relates to the lack of integration of these statistics, so that all kinds of events that are interrelated in reality can only be studied in isolation. Of course, the lack of integration of statistics applies less to economic data, as the national accounts function as a coordinating information system for these data. In fact, an important aim of this book is to demonstrate that the basic principles of national accounts can and should be extended to a wider range of statistics, notably social and environmental statistics. For this purpose, a so-called System of Economic and Social Accounting Matrices and Extensions (SESAME) is designed and applied in this book, following its announcement in the 1993 System of National Accounts, the guidelines of the United Nations and other international organizations.

This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis. Further, it interprets basic statistical methods, such as the chi-square statistic, t-statistic, F-statistic and the maximum likelihood estimation in the context of entropy. In terms of categorical data analysis, the book discusses the entropy correlation coefficient (ECC) and the entropy coefficient of determination (ECD) for measuring association and/or predictive powers in association models, and generalized linear models (GLMs). Through association and GLM frameworks, it also describes ECC and ECD in correlation and regression analyses for continuous random variables. In multivariate statistical analysis, canonical correlation analysis, T2-statistic, and discriminant analysis are discussed in terms of entropy. Moreover, the book explores the efficiency of test procedures in statistical tests of hypotheses using entropy. Lastly, it presents an entropy-based path analysis for structural GLMs, which is applied in factor analysis and latent structure models. Entropy is an important concept for dealing with the uncertainty of systems of random variables and can be applied in statistical methodologies. This book motivates readers, especially young researchers, to address the challenge of new approaches to statistical data analysis and behavior-metric studies.

Taking up a social constructionist position, this book illustrates the social and cultural construction of autism as made visible in everyday, educational, institutional and historical discourses, alongside a careful consideration of the bodily and material realities of embodied differences. The authors highlight the economic consequences of a disabling culture, and explore how autism fits within broader arguments related to normality, abnormality and stigma. To do this, they provide a theoretically and historically grounded discussion of autism-one designed to layer and complicate the discussions that surround autism and disability in schools, health clinics, and society writ large. In addition, they locate this discussion across two contexts - the US and the UK - and draw upon empirical examples to illustrate the key points. Located at the intersection of critical disability studies and discourse studies, the book offers a critical reframing of autism and childhood mental health disorders more generally.

This reference summarizes and overviews current research on adolescence in 31 countries from around the world. The volume begins with a discussion of interdisciplinary and international perspectives on adolescence, with special attention to psychological and sociological approaches. Each of the chapters that follow considers adolescence in a particular country, and the chapters are arranged alphabetically for ease of use. To foster comparative research, each chapter shares a common format, with sections on the historical and sociodemographic background of adolescence since 1945, sociocultural patterns of rites of passage, psychological and social problem behaviors, and policy matters. Each chapter concludes with a list of current references, and the volume ends with a selected bibliography and an appendix of key researchers.

This is the 19th volume in a series of reviews of research in organizational behaviour. This volume covers such topics as: motivational traits and skills; the dispositional causes of job satisfaction; the ways and means of studying group processes; and managing grand scale construction projects.

This book examines how computer-based programs can be used to acquire 'big' digital cultural heritage data, curate, and disseminate it over the Internet and in 3D visualization platforms with the ultimate goal of creating long-lasting "digital heritage repositories.' The organization of the book reflects the essence of new technologies applied to cultural heritage and archaeology. Each of these stages bring their own challenges and considerations that need to be dealt with. The authors in each section present case studies and overviews of how each of these aspects might be dealt with. While technology is rapidly changing, the principles laid out in these chapters should serve as a guide for many years to come. The influence of the digital world on archaeology and cultural heritage will continue to shape these disciplines as advances in these technologies facilitate new lines of research. serif">The book is divided into three sections covering acquisition, curation, and dissemination (the major life cycles of cultural heritage data). Acquisition is one of the fundamental challenges for practitioners in heritage and archaeology, and the chapters in this section provide a template that highlights the principles for present and future work that will provide sustainable models for digital documentation. Following acquisition, the next section highlights how equally important curation is as the future of digital documentation depends on it. Preservation of digital data requires preservation that can guarantee a future for generations to come. The final section focuses on dissemination as it is what pushes the data beyond the shelves of storage and allows the public to experience the past through these new technologies, but also opens new lines of investigation by giving access to these data to researchers around the globe. Digital technology promises significant changes in how we approach social sciences, cultural heritage, and archaeology. However, researchers must consider not only the acquisition and curation, but also the dissemination of these data to their colleagues and the public. Throughout the book, many of the authors have highlighted the usefulness of Structure from Motion (SfM) work for cultural heritage documentation; others the utility and excitement of crowdsourcing as a 'citizen scientist' tool to engage not only trained students and researchers, but also the public in the cyber-archaeology endeavor. Both innovative tools facilitate the curation of digital cultural heritage and its dissemination. Together with all the chapters in this volume, the authors will help archaeologists, researchers interested in the digital humanities and scholars who focus on digital cultural heritage to assess where the field is and where it is going.

This book explains, with case examples, a variety of social science research methods suitable for studying the unconscious components of irrational social and political actions in world affairs, which can be defined as those that are intensely destructive, self-destructive, or extremely bizarre. The book argues that they are driven in part by feelings and fantasies that are outside of conscious awareness. Meyers explores the role of empathy in clinical understanding, as well as the value of exposing assertions to empirical disconfirmation. With a variety of research methods such as survey research, content analysis, and narrative analysis, and case examples such as studies of 'irreal' statements by authoritarian leaders, fabricated newspaper articles and climate change denial, this book sheds light on how to conduct research on psychodynamic matters in a scientifically valid and credible way.

This book focuses on the prevention of child abuse and neglect deaths in the U.S. In 2013 1,520 children died from maltreatment. This book defines child maltreatment fatalities (CMFs) and discusses the prevalence of deaths in the U.S. over the last several decades. It addresses the known risk factors for maltreatment deaths including child, parent, the parent-child relationship, and household risk factors. The main focus of the book addresses the responses and interventions that have been put in place in order to prevent CMFs: the child welfare profession, child death review teams, safe haven laws, criminal justice responses, public education, and new, federal efforts in the U.S. to reduce CMFs in the U.S. The book finishes by making recommendations for researchers, practitioners, and decision-makers about how to prevent fatal maltreatment among children in the U.S.

This book presents the latest in decision-making tools, techniques, and solutions for policy makers to utilize in overcoming the challenges faced by healthcare systems. With contributions from experts world-wide, an array of healthcare management models, techniques, and integrative solutions are presented, drawing on econometric, system dynamics, and agent-based models as well as state-of-the-art empirical studies. As total healthcare spending (both total expenditures on health as a percentage of GDP and average spending on per capita) increases across most of the world's economies, healthcare systems continue to face challenges in terms of cost, quality, and access, as a result of its fragmented nature. Consequently, healthcare managers and policy makers require innovative integrative approaches and solutions to better manage complex, dynamic healthcare systems. This volume offers researchers and policy makers an insightful and critical review of the state of the art in healthcare modeling, with a particular focus on system dynamics, agent-based models, and modern empirical studies. It will be of interest to those in the fields of health, business management, and information systems.

This edited volume presents examples of social science research projects that employ new methods of quantitative analysis and mathematical modeling of social processes. This book presents the fascinating areas of empirical and theoretical investigations that use formal mathematics in a way that is accessible for individuals lacking extensive expertise but still desiring to expand their scope of research methodology and add to their data analysis toolbox. Mathematical Modeling of Social Relationships professes how mathematical modeling can help us understand the fundamental, compelling, and yet sometimes complicated concepts that arise in the social sciences. This volume will appeal to upper-level students and researchers in a broad area of fields within the social sciences, as well as the disciplines of social psychology, complex systems, and applied mathematics.

This book presents a duoethnographic exploration and narrative account of what it means to be a teacher educator today. Adopting a narrative approach, the book presents different personal, political and institutional perspectives to interrogate common challenges facing teacher education and teacher educators today. In addition, the book compares and contrasts the teacher education landscapes in Australia and the UK and addresses a broad range of topics, including the autobiographical nature of teacher educators' work, the value of learning from experience, the importance of collegiality and collaboration in learning to become a teacher educator, and the intersection of the personal, professional and political in the development of teacher educator pedagogies and research agendas. Each chapter combines personal narratives and research-based perspectives on the key dimensions of teacher educators' work that can be found in the literature, including self-study research. Readers will gain a better understanding of the processes, influences and relationships that make being a teacher educator both a challenging and rewarding career. Accordingly, the book offers a valuable asset for university leaders, experienced and beginning teacher educators, and researchers interested in the professional learning and development of teacher educators.

This book celebrates the contributions of John Weidman and his colleagues to the understanding of student socialization in higher education. It includes innovative chapters reflecting new approaches to higher education student socialization with respect to students of color, gender, STEM, and students in higher education systems outside the USA. Specifically, the book examines socialization between and within in a range of groups, including national, international and minority students, parents, doctoral students, early career faculty, and scholarly practitioners. The book assesses methodological approaches and suggests directions for reformulating theory and practice. Using sociological perspectives to address issues and concerns at both the undergraduate and graduate levels, the book gives renewed life to the college impact literature. It includes revisions and expansions of the original Weidman frameworks based on the synthesis of existing research with new work reflecting unique perspectives by a variety of authors. John Weidman has been an indisputable force in the study and understanding of student socialization in higher education. This new book by Weidman and his coeditor, Linda DeAngelo, represents an undeniably significant and welcomed expansion of the original "Weidman model" of student socialization. In updating and revising the original model, chapter authors give attention to various contemporary issues such as student diversity, gender differences, early career experiences, and internationalism. Whether one samples only some of the articles that constitute this book or reads all of them, the professional payoff will be substantial. Kenneth A. Feldman, Professor of Sociology, Stony Brook University John Weidman has made a number of groundbreaking contributions to our understanding of student socialization in postsecondary education. This book, edited with Linda DeAngelo, brings together a group of fine scholars whose contributions will push our understanding even further. It is a significant addition to the college impact literature. Ernest T. Pascarella, Petersen Chair in Higher Education, University of Iowa

The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis, and we do not deal with these.
Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader.
Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.

This book offers a detailed investigation of breakdowns in traffic and transportation networks. It shows empirically that transitions from free flow to so-called synchronized flow, initiated by local disturbances at network bottlenecks, display a nucleation-type behavior: while small disturbances in free flow decay, larger ones grow further and lead to breakdowns at the bottlenecks. Further, it discusses in detail the significance of this nucleation effect for traffic and transportation theories, and the consequences this has for future automatic driving, traffic control, dynamic traffic assignment, and optimization in traffic and transportation networks. Starting from a large volume of field traffic data collected from various sources obtained solely through measurements in real world traffic, the author develops his insights, with an emphasis less on reviewing existing methodologies, models and theories, and more on providing a detailed analysis of empirical traffic data and drawing consequences regarding the minimum requirements for any traffic and transportation theories to be valid. The book - proves the empirical nucleation nature of traffic breakdown in networks - discusses the origin of the failure of classical traffic and transportation theories - shows that the three-phase theory is incommensurable with the classical traffic theories, and - explains why current state-of-the art dynamic traffic assignments tend to provoke heavy traffic congestion, making it a valuable reference resource for a wide audience of scientists and postgraduate students interested in the fundamental understanding of empirical traffic phenomena and related data-driven phenomenology, as well as for practitioners working in the fields of traffic and transportation engineering.

Afro-Latinos in the U.S. Economy outlines the current position and status of Afro-Latinos in the economy of the United States. Very little research has thus far been disseminated in the field of economics on the contributions of Afro-Latinos to the U.S. economy with regard to income and wealth generation, labor market status, occupational mobility, and educational attainment. On the other hand, the fields of anthropology, sociology, political science and cultural studies have produced a wealth of research on Afro-Latinos in the U.S.; the discipline of economics is, thus, significantly behind the curve in exploring the economic dimensions of this group. While Afro-Latinos constitute a comparatively small segment of the U.S. population, they form the nexus between this country's two largest minority groups-African Americans and Latinos, who, comprise 13 percent and 17 percent, respectively, of the U.S. population. The goal of this book is to provide a foundation in the economic dimensions of Afro-Latinos in the U.S. which can be used to both complement and supplement research conducted on this group in other major social science disciplines.

This volume offers insights into contemporary trends and perspectives in psychobiographical research. It applys new theoretical and methodological frameworks and presents discourses on psychobiography from transdisciplinary backgrounds and various socio-cultural contexts, displaying the new state-of-the-art, new trends and themes in psychobiography. The book outlines psychobiography's outstanding contribution to psychology from 36 internationally reputable authors. It also presents the ideas of five outstanding psychobiographers through interview excerpts. This book is a must for researchers, lecturers and practitioners in the field of psychology and social sciences interested in the use of new psychological theories and methodologies in life-span research.

This book analyzes the effects of wives' employment on the economic status of families, using both descriptive and empirical research. The historical and socio-economic causes of change in the employment status of wives and husbands are detailed. The empirical studies respond to some basic questions about dual-earner families: How does having an employed wife influence family lifestyles? What effects do dual-earners have on the finances of their households and on the distribution of income? What policy changes are needed to recognize the economic importance of dual-earner families? In Working Wives and Dual-Earner Families, one-earner and dual-earner families are differentiated, with particular attention to the impact of wives' employment status (full-time or part-time) on household decision making. Among the most interesting research findings are: total family income or tax bracket and the cost of child care are among the critical determinants of dual-earner employment; married-couple families at the same level of income have very similar expenditure patterns regardless of whether the wife is employed; full-time working wives make the distribution of income less equal, but part-time working wives generate greater equality in the distribution of income; families with full-time working wives have higher income, but they do not save more or have greater financial assets than other families; families with part-time employed wives are similar to those with non-employed wives and differ from families with full-time employed wives. The authors conclude that the real incomes of dual-earner families will continue to grow, as one-earner real income remains the same or declines. Household planning and decision making will increasingly be predicated upon having two earners, which will be perceived as the norm. Dual-earner families, based on amenities, mobility, growing families, and demands for public goods, will drive private markets and public policy.

This edited volume addresses the vast challenges of adapting Online Social Media (OSM) to developing research methods and applications. The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others. Each of the ten chapters tackle one or more of these issues by proposing new analysis methods or new visualization techniques, or both, for famous OSM applications such as Twitter and Facebook. This collection of contributed chapters address these challenges. Online Social Media has become part of the daily lives of hundreds of millions of users generating an immense amount of 'social content'. Addressing the challenges that stem from this wide adaptation of OSM is what makes this book a valuable contribution to the field of social networks.

Based on extensive analysis of surveys from recent decades, this book provides a detailed study of the attitudes of religious groups in Britain. It looks at continuity and change in relation to party support, ideology, abortion, homosexuality and gay rights, foreign policy, and public opinion towards religion in public life.

Why do we continue to think about, imagine, and forecast the future despite believing we will probably be wrong? Why do we need to do so? What does the future mean, and how do we relate to it? Is it possible that Western societies condition their members into inability to cope with the future?

These and other fundamental questions are explored in "The Future Is Ours," which is written as an intermediate text for use in future-oriented modules within BA courses in International Business, Management, Urban Planning, and Environmental Politics.

The Palgrave Handbook of Prison Ethnography provides an expansive overview of the challenges presented by qualitative, and particularly ethnographic, enquiry. The chapters reflect upon the means by which ethnographers aim to gain understanding, make sense of what they learn and the way they represent their finished work. The Handbook offers urgent insights relevant to current trends in the growth of imprisonment worldwide. In an era of mass incarceration, human-centric ethnography provides an important counter to quantitative analysis and the audit culture on which prisons are frequently judged. The Handbook is divided into four parts. Part I ('About Prison Ethnography') assesses methodological, theoretical and pragmatic issues related to the use of ethnographic and qualitative enquiry in prisons. Part II ('Through Prison Ethnography') considers the significance of ethnographic insights in terms of wider social or political concerns. Part III ('Of Prison Ethnography') analyses different aspects of the roles ethnographers take and how they negotiate their research settings. Part IV ('For Prison Ethnography') includes contributions that convincingly extend the value of prison ethnography beyond the prison itself. Bringing together contributions by some of the world's leading scholars in criminology and prison studies, this authoritative volume maps out new directions for future research. It will be an indispensable resource for practitioners, students, academics and researchers who use qualitative social research methods to further their understanding of prisons.

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, education, and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher.Mathematical derivations are placed in optional appendices for those interested in this detailed coverage. Highlights include: Unique coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research project but some chapters can be omitted entirely if preferred.Step by step examples of each test help readers see how the material is applied in a variety of disciplines. Although the book can be used with any program, examples of how to use the tests in SPSS & EXCEL foster conceptual understanding. Exploring the concept boxes integrated throughout prompt students to review key material and draw links between the concepts to deepen understanding. Problems in each chapter help readers test their understanding of the material. Emphasizes selecting tests that maximize power to help readers avoid marginally significant results. Website featuring datasets for the book's examples and problems, and for the instructor Power Points, author's course syllabus, and answers to the even numbered problems. Chapters 1-3 cover basic concepts in probability, especially the binomial formula followed by two chapters that address the analysis of contingency tables. Chapters 6-8 address nonparametric tests involving at least one ordinal variable, including testing for nonparametric interaction effects, a topic omitted from other texts. The book then turns to situations that involve one metric variable.Chapter 9 reviews concepts that are foundational to CDA, including linear regression and generalized linear models. Chapters 10-11 cover logistic, ordinal, and Poisson regression. Chapters 12 and 13 review loglinear models and the General Estimating Equations (GEE) methodology for measuring outcomes from multiple time points. For a deeper understanding of how various CDA techniques work, chapter 14 covers estimation methods, such as Newton-Raphson and Fisher scoring. The book concludes with a summary of factors that need to be considered when choosing the best statistical technique. Intended for individual or combined graduate or advanced undergraduate courses in categorical and nonparametric data analysis, cross-classified data analysis, advanced statistics and/or quantitative techniques taught in psychology, education, human development, sociology, political science, and other social and life sciences, the book also appeals to researchers in these disciplines. The nonparametric chapters can be deleted if preferred. Prerequisites include knowledge of t-tests and ANOVA.

Approaches and methods in comparative education are of obvious importance, but do not always receive adequate attention. This second edition of a well-received book, containing thoroughly updated and additional material, contributes new insights within the longstanding traditions of the field. A particular feature is the focus on different units of analysis. Individual chapters compare places, systems, times, cultures, values, policies, curricula and other units. These chapters are contextualised within broader analytical frameworks which identify the purposes and strengths of the field. The book includes a focus on intra-national as well as cross-national comparisons, and highlights the value of approaching themes from different angles. As already demonstrated by the first edition of the book, the work will be of great value not only to producers of comparative education research but also to users who wish to understand more thoroughly the parameters and value of the field.

This book offers a coherent research-based overview and analysis of theories and practices in using data to improve student learning. It clarifies what 'use of data' means and differentiates the different levels of decision-making in education (relating to the system, district, school, classroom, or individual student). The relationship between data and decision-making is considered and various movements in the use of data to improve student learning are analysed, especially from the perspective of their assumptions and effects. This leads to a focus on effective educational decision-making as a social process requiring collaboration among all relevant participants. It also requires a clear understanding of educational aims, and these are seen to transcend what can be assessed by standardised tests. The consequences of this analysis for decision processes are explored and conclusions are drawn about what principles might best guide educational practice as well as what ambiguities remain. Throughout, the focus is on what existing research says about each of the issues explored.

This book emphasizes that artificial or pseudo-populations play an important role in statistical surveys from finite universes in two manners: firstly, the concept of pseudo-populations may substantially improve users' understanding of various aspects in the sampling theory and survey methodology; an example of this scenario is the Horvitz-Thompson estimator. Secondly, statistical procedures exist in which pseudo-populations actually have to be generated. An example of such a scenario can be found in simulation studies in the field of survey sampling, where close-to-reality pseudo-populations are generated from known sample and population data to form the basis for the simulation process. The chapters focus on estimation methods, sampling techniques, nonresponse, questioning designs and statistical disclosure control. This book is a valuable reference in understanding the importance of the pseudo-population concept and applying it in teaching and research.