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.

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.

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.

This volume examines pluralism in light of recent music education research history and pluralistic approaches in practice. Pluralistic research holds the potential to blend frameworks, foundations, methods, and analysis protocols, and leads to a sophisticated understanding of music teaching and learning. This blending could take place in a range of contexts that may span an individual study to a lifelong research agenda. Additionally, pluralistic ideals would guide the addressing of questions as a community. The volume also illuminates the work of innovative music education researchers who are constructing pluralistic research studies and agendas, and advocate for the music education profession to embrace such an approach in order to advance shared research goals. The ramifications of this transformation in music education research are a subject of discussion, including the implications for researcher education and the challenges inherent in conducting and disseminating such research.

More-than-Human Sociology is a call for a bolder, more creative sociology. Olli Pyyhtinen argues that to make sociology responsive to life in the 21st century we need a new sociological imagination, one that addresses connectivity, understands the world in which we live as both a human and non-human world, and is sensitive to the multiple scales on which things exist. A fresh and innovative take on the promise of sociology, this book will appeal to scholars and students both within sociology and the social sciences more broadly.

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.

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.

The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.

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.

For courses in experimental methods and research methods in the social and behavioral sciences This book presents an unintimidating look at the basics of research, describing how to collect and analyze data and providing thorough instruction on how to prepare and write research proposals and manuscripts. It covers the research process, problem selection, sampling and generalizability, and the measurement process, as well as the most common types of research models used in the social and behavioral sciences, including qualitative methods. The 10th edition explores the use of electronic sources for research with more information about conducting research and literature reviews online and includes new information on how social media can be used in a research context and places a strong emphasis on ethics. Information about the use of the 7th Edition of the Publication Manual of the American Psychological Association is contained in several chapters. A key update in this edition is the coverage of SPSS and Excel as tools of choice for data analysis.

The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory. The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge communities, individuality computation, other types of FCA-based analysis of bipartite graphs (two-mode networks), multimodal clustering, community detection and description in one-mode and multi-mode networks, adaptation of the dual-projection approach to weighted bipartite graphs, extensions to the Kleinberg's HITS algorithm as well as attributed graph analysis.

This book integrates current advances in biology, economics of information and linguistics research through applications using agent-based modeling and social network analysis to develop scenarios of communication and language emergence in the social aspects of biological communications. The book presents a model of communication emergence that can be applied both to human and non-human living organism networks. The model is based on economic concepts and individual behavior fundamental for the study of trust and reputation networks in social science, particularly in economics; it is also based on the theory of the emergence of norms and historical path dependence that has been influential in institutional economics. Also included are mathematical models and code for agent-based models to explore various scenarios of language evolution, as well as a computer application that explores language and communication in biological versus social organisms, and the emergence of various meanings and grammars in human networks. Emergence of Communication in Socio-Biological Networks offers both a completely novel approach to communication emergence and language evolution and provides a path for the reader to explore various scenarios of language and communication that are not constrained to the human networks alone. By illustrating how computational social science and the complex systems approach can incorporate multiple disciplines and offer an integrated theory-model approach to the evolution of language, the book will be of interest to researchers working with computational linguistics, mathematical linguistics, and complex systems.

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.

In this book, Fattorello addresses the differences between contingent and non-contingent information. The theory is translated into English for the first time and is contextualized and put into a historical framework by Prof. Ragnetti's additional text.

This is the first volume addressing the importance of teaching quality of life theory and methodology in different domains: social sciences, philosophy, sociology, political science, marketing, education, urbanism, statistics, economics, online learning, public health, sports, and constraint contexts in terms of their relationship with the Capability Approach. The chapters are written by important authors from Europe, North America, Asia, Latin America, Africa and Oceania, and present the syllabus and references of courses, making this volume important and necessary to university professors, students as well as teachers in general.

This book contains original research chapters related to the interdisciplinary field of complex networks spanning biological and environmental networks, social, technological, and economic networks. Many natural phenomena can be modeled as networks where nodes are the primitive compounds and links represent their interactions, similarities, or distances of sorts. Complex networks have an enormous impact on research in various fields like biology, social sciences, engineering, and cyber-security to name a few. The topology of a network often encompasses important information on the functionality and dynamics of the system or the phenomenon it represents. Network science is an emerging interdisciplinary discipline that provides tools and insights to researchers in a variety of domains. NetSci-X is the central winter conference within the field and brings together leading researchers and innovators to connect, meet, and establish interdisciplinary channels for collaboration. It is the largest and best known event in the area of network science. This text demonstrates how ideas formulated by authors with different backgrounds are transformed into models, methods, and algorithms that are used to study complex systems across different domains and will appeal to researchers and students within in the field.

This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results. The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the da ta before release. This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.

"Understanding Complex Urban Systems" takes as its point of departure the insight that the challenges of global urbanization and the complexity of urban systems cannot be understood let alone managed by sectoral and disciplinary approaches alone. But while there has recently been significant progress in broadening and refining the methodologies for the quantitative modeling of complex urban systems, in deepening the theoretical understanding of cities as complex systems, or in illuminating the implications for urban planning, there is still a lack of well-founded conceptual thinking on the methodological foundations and the strategies of modeling urban complexity across the disciplines.

Bringing together experts from the fields of urban and spatial planning, ecology, urban geography, real estate analysis, organizational cybernetics, stochastic optimization, and literary studies, as well as specialists in various systems approaches and in transdisciplinary methodologies of urban analysis, the volume seeks to advance the discussion on multidisciplinary approaches to urban modeling. While engaging with the state of the art in their respective fields, the contributions are specifically written for both experts from a broad range of disciplines as well as for urban practitioners who feel the need for new approaches given the uncertainty of current developments.

How to apply statistical methods to survey data—a guide to effective analysis of health surveys.

With large health surveys becoming increasingly available for public use, researchers with little experience in survey methods are often faced with analyzing data from surveys to address scientific and programmatic questions. This practical book provides statistical techniques for use in survey analysis, making health surveys accessible to statisticians, biostatisticians, epidemiologists, and health researchers. The authors clearly explain the theory and methods of survey analysis along with real-world applications. They draw on their work at the National Institutes of Health as well as up-to-date information from across the literature to present:

• The sampling background necessary to understand health surveys.
• The application of such techniques as t-tests, linear regression, logistic regression, and survival analysis to survey data.
• The use of sample weights in survey data analysis.
• Dealing with complications in variance estimation in large health surveys.
• Applications involving cross-sectional, longitudinal, and multiple cross-sectional surveys, and the use of surveys to perform population- based case-control analyses.
• Guidance on the correct use of statistical methods found in software packages.
• Extensive bibliography.

The representation of abstract data and ideas can be a difficult and tedious task to handle when learning new concepts; however, the advances of emerging technology have allowed for new methods of representing such conceptual data. The Handbook of Research on Maximizing Cognitive Learning through Knowledge Visualization focuses on the use of visualization technologies to assist in the process of better comprehending scientific concepts, data, and applications. Highlighting the utilization of visual power and the roles of sensory perceptions, computer graphics, animation, and digital storytelling, this book is an essential reference source for instructors, engineers, programmers, and software developers interested in the exchange of information through the visual depiction of data. The many academic areas covered in this publication include, but are not limited to: Electronic Media Mathematical Thinking Multisensory Applications Sensory Extension

Podcasting for Teachers is the first volume of a new series from Dr. Kathleen P. King and Mark Gura- Emerging Technologies for Evolving Learners and is based on their successful educational technology podcast, Podcast for Teachers, Techpod (sm). Their podcast work has reached over 600,000 people as of 9/06 and branched into virtual seminars, and additional innovations. This book introduces and explains this important new technology from the perspective of educators. It also provides new insights into the ways that technology can provide solutions to instructional needs that have not been sufficiently addressed until now. Not only does it provide concrete explanations, examples, models, and details about methods and resources that are not currently illustrated in other publications, but it also reveals a new rationale for the use of technology in education. This book helps readers apprehend critical issues essential to understanding and taking advantage of podcasting and related technologies as an educational resource: . What podcasting is . How ""to do"" podcasting . How to plan podcasting-based activities for students . How to create podcasts as teaching resources .How to use podcasting for professional development . Models developed specifically by the authors regarding: . Podcast development . Educators' learning curve in podcasting . Cost/benefit decision making regarding podcasting projects K - 12 school district directors of curriculum and instruction and directors of professional development, as well as classroom teachers, principals, and instructional supervisors across the core curriculum and in the area of Instructional Technology; and teacher educators and other college faculty will find this book a valuable resource. Readers may use the book as part of their own efforts to expand their teaching or staff development practice. It can also be an important resource for Education courses in content instruction and Instructional Technology and serve as a valuable reference for educators interested in educational applications of technology.

A volume in Critical Constructions: Studies on Education and Society Series Editor: Curry Stephenson Malott, Queens College/CUNY Who should read this book? Anyone who is touched by public education - teachers, administrators, teacher-educators, students, parents, politicians, pundits, and citizens - ought to read this book. It will speak to educators, policymakers and citizens who are concerned about the future of education and its relation to a robust, participatory democracy. The perspectives offered by a wonderfully diverse collection of contributors provide a glimpse into the complex, multilayered factors that shape, and are shaped by, institutions of schooling today. The analyses presented in this text are critical of how globalization and neoliberalism exert increasing levels of control over the public institutions meant to support the common good. Readers of this book will be well prepared to participate in the dialogue that will influence the future of public education in this nation - a dialogue that must seek the kind of change that represents hope for all students. As for the question contained in the title of the book--Can hope audaciously trump neoliberalism?--, Carr and Porfilio develop a framework that integrates the work of the contributors, including Christine Sleeter and Dennis Carlson, who wrote the forward and afterword respectively, that problematizes how the Obama administration has presented an extremely constrained, conservative notion of change in and through education. The rhetoric has not been matched by meaningful, tangible, transformative proposals, policies and programs aimed at transformative change. There are many reasons for this, and, according to the contributors to this book, it is clear that neoliberalism is a major obstacle to stimulating the hope that so many have been hoping for. Addressing systemic inequities embedded within neoliberalism, Carr and Porfilio argue, is key to achieving the hope so brilliantly presented by Obama during the campaign that brought him to the presidency.

Show business is a multimillion dollar business, and its celebrities and sports figures are the most famous people on earth. Yet, most entertainers are neither rich nor famous. In "Life upon the Wicked Stage," author Jacqueline Boles provides an academic portrait of live performers and offers insight into their unique world.

Based on the biographies and autobiographies of one hundred and seventeen American show people, "Life upon the Wicked Stage" delves into the lives of entertainers-musicians, singers, dancers, comics, and variety artists. This sociological study first shares the history of show business from its beginnings to present-day, where the public's fascination with entertainers and celebrities is avid. Then, Boles analyzes the entertainers and their family backgrounds, investigates their reasons for choosing entertainment, and explores their career patterns. This study also shows the affects that show business has on family and relationships, and it discusses the costs and rewards of life as a performer.

"Life upon the Wicked Stage" illustrates that live entertainment has changed dramatically over the last one hundred and fift y years while remaining remarkably unchanged. Boles communicates that the show must go on.

The book provides an argument why realism is a viable metatheoretical framework for psychological science. By looking at some variations of realism such as scientific realism, critical realism, situational realism and Ferraris' new realism, a realist view of science is outlined that can feature as a metatheory for psychological science. Realism is a necessary correction for the mythical image of science responsible for and maintained by a number of dichotomies and polarities in psychology. Thus, the quantitative-qualitative dichotomy, scientist-practitioner polarity and positivist-constructionist opposition feed off and maintains a mythic image of science on levels of practice, methods and metatheory. Realism makes a clear distinction between ontology and epistemic access to reality, the latter which easily fits with softer versions of constructionism, and the former which grounds science in resistance and possibility, loosely translated as criticism. By taking science as a critical activity an issue such as the quantitative imperative looses its defining force as a hallmark of science - it provides epistemic access to certain parts of reality. In addition, essentially critical activities characteristic of various qualitative approaches may be welcomed as proper science. Academics, professionals and researchers in psychology would find value in situating their scholarly work in a realist metatheory avoiding the pitfalls of traditional methodologies and theories.

"Comparative Social Policy" provides students with an introduction to cross-national social policy research, conveying the fascinating and challenging issues involved in conducting research of this kind. The book examines the theoretical, conceptual and methodological approaches, discusses prevailing concepts and reflects on methodological difficulties. The authors use examples from a wide range of social policy analysis to illustrate what can be gained by conducting comparative social policy research.

The first part of the book provides a broad overview of the growing interest in comparative welfare state research and a discussion of major theoretical and methodological aspects relevant to comparative social research in general. Part II provides readers with an understanding of previous work in the subject, major approaches, important concepts and theories as well as methodological difficulties within comparative research in particular policy fields (health, housing, family policy, social care, social security, labour market policy).

The final section addresses particular themes and issues across these fields and highlights the essential components of comparative social policy research, particularly the need to explore these issues carefully to gain awareness of subtle cross-national differences and thus avoid misleading results.

The book includes differing country samples and sizes and takes examples from Europe, North America and the Asia Pacific region. All the chapters reflect on relevant conceptual and methodological approaches, each is written for the student reader and concludes with a guide to further reading.