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.

State Profiles 2021: The Population and Economy of Each U.S. State has been completely updated and provides a wealth of current, authoritative, and comprehensive data on key demographic and economic indicators for each U.S. state and the District of Columbia. Each state is covered by a compact standardized chapter that allows for easy comparisons and timely analysis between the states. A ten-page profile for each U.S. state plus the District of Columbia provides reliable, up-to-date information on a wide range of topics, including: population, labor force, income and poverty, government finances, crime, education, health insurance coverage, voting, marital status, migration, and more. If you want a single source of key demographic and economic data on each of the U.S. states, there is no other book like State Profiles. This book provides an overview of the U.S. economy which provides a framework for understanding the state information. State Profiles is primarily useful for public, school, and college and university libraries, as well as for economic and sociology departments. However, anyone needing state-level information including students, state officials, investors, economic analysts, and concerned citizens will find State Profiles wealth of data and analysis absolutely essential!

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.

The Misuse, Misrepresentation, and Politicization of Statistics in American Society critically examines the early measurement efforts of several government agencies responsible for some of the most widely watched social indicators on unemployment, life expectancy, crime, and population. It argues that official statistics are dubious at best, not so much as objective barometers of social life but rather arbitrary, highly-politicized, socially-constructed metrics that are easily manipulable and subject to misuse and misinterpretation. The book argues that official statistics powerfully frame social reality, ultimately helping to determine who counts and what matters in society. It makes the case that, as with other types of official accounts, data derived from government sources needs to be regarded skeptically and systematically investigated. The book concludes that official statistics are a kind of sanctioned cover up of everyday reality, hiding the true extent of joblessness, distorting the real increase in life expectancy, obscuring where crime actually happens, and hiding the undeniable growth of minority populations behind a facade.

The book addresses major developments both to the academic enterprise internally and to the external environment which are changing the academic profession. The book brings together an international group of scholars who discuss different aspects of the professoriate and their working conditions in contemporary higher education systems.

First published Open Access under a Creative Commons license as What is Diary Method?, this title is now also available as part of the Bloomsbury Research Methods series. This book provides an up-to-date, concise, and engaging introduction to solicited diary method, aimed at researchers and students who want to employ this methodology in their projects. Its primary focus is on the use of solicited diary method in the context of social and health-related research, but it also offers useful guidance on the everyday practice of diary-keeping. The authors draw on published research that makes use of this method, including their own independent studies involving older adults and family carers. The book opens with an overview of the development of diary techniques and a discussion of the value of the method, and provides an overview of the different ways of collecting and using diary data and techniques for analysing it. Key ethical issues are sensitively discussed. The book engages with new and novel developments in solicited diary method by engaging with the use of technology including discussion of how digital devices, email exchanges, social media such as Facebook, weblogs and micro-blogging such as Twitter, have the potential to change the meaning and nature of diary-keeping. The book includes a variety of visuals to enhance understanding, including a tabulated summary of the main strengths and limitations of using diary method, and strategies for mitigating limitations.

This book describes official statistics as a tool to hold up a mirror to society - but also as an instrument for those who can manipulate this mirror. It addresses the precarious interaction of politics, official statistics, and ethical principles. Three sets of themes can be derived from this relationship, which are the focus of this book: Political systems and guiding principles, official statistics as a science of the state, and ethical issues arising from them. Ultimately, the determining factor is the political system that exists in each case. The book contains eleven chapters. The first three focus on the key concepts of the book: power and morality, official statistics and policy making, and ethical principles for statistical work. Three further chapters focus on episodes that illustrate, as "drastic" examples, the misuse of official statistics over the past hundred years, covering the situation in the Soviet Union, the Third Reich and Greece. The remaining five chapters take up current topics that pose particular challenges to official statistics. These are the phenomena paraphrased by digitalisation, globalisation, happiness research, overpopulation, migration, the Covid-19 pandemic and climate change. The book is primarily aimed at statisticians working in national and international statistical institutions, but also at readers interested in statistics, national accounts, economic and statistics history, and ethical issues.

This book brings together a diverse, international array of contributors to explore the topics of news "quality" in the online age and the relationships between news organizations and enormously influential digital platforms such as Facebook, Google, and Twitter. Covering topics ranging from internet incivility, crowdsourcing, and YouTube politics to regulations, algorithms, and AI, this book draws the key distinction between the news that facilitates democracy from news that undermines it. For students and scholars as well as journalists, policymakers, and media commentators, this important work engages a wide range of methodological and theoretical perspectives to define the key concept of "quality" in the news media.

This book brings together a diverse, international array of contributors to explore the topics of news "quality" in the online age and the relationships between news organizations and enormously influential digital platforms such as Facebook, Google, and Twitter. Covering topics ranging from internet incivility, crowdsourcing, and YouTube politics to regulations, algorithms, and AI, this book draws the key distinction between the news that facilitates democracy from news that undermines it. For students and scholars as well as journalists, policymakers, and media commentators, this important work engages a wide range of methodological and theoretical perspectives to define the key concept of "quality" in the news media.

In Politics as a Science, two of the world's leading authorities on Comparative Politics, Philippe C. Schmitter and Marc Blecher, provide a lively introduction to the concepts and framework to study and analyze politics. Written with dexterity, concision and clarity, this short text makes no claim to being scientific. It contains no disprovable hypotheses, no original collection of evidence and no search for patterns of association. Instead, Schmitter and Blecher keep the text broadly conceptual and theoretical to convey their vision of the sprawling subject of politics. They map the process in which researchers try to specify the goal of the trip, some of the landmarks likely to be encountered en route and the boundaries that will circumscribe the effort. Examples, implications and elaborations are included in footnotes throughout the book. Politics as a Science is an ideal introduction for anyone interested in, or studying, comparative politics. "The Open Access version of this book, available at http://www.taylorfrancis.com/doi/view/10.4324/9781003032144, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license."

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 provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the sequential analysis of data in such diverse fields as signal processing, epidemiology, machine learning, population ecology, quantitative finance, and robotics. The coverage is comprehensive, ranging from the underlying theory to computational implementation, methodology, and diverse applications in various areas of science. This is achieved by describing SMC algorithms as particular cases of a general framework, which involves concepts such as Feynman-Kac distributions, and tools such as importance sampling and resampling. This general framework is used consistently throughout the book. Extensive coverage is provided on sequential learning (filtering, smoothing) of state-space (hidden Markov) models, as this remains an important application of SMC methods. More recent applications, such as parameter estimation of these models (through e.g. particle Markov chain Monte Carlo techniques) and the simulation of challenging probability distributions (in e.g. Bayesian inference or rare-event problems), are also discussed. The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area. Each chapter includes a set of exercises for self-study, a comprehensive bibliography, and a "Python corner," which discusses the practical implementation of the methods covered. In addition, the book comes with an open source Python library, which implements all the algorithms described in the book, and contains all the programs that were used to perform the numerical experiments.

Methodological Concepts: A Critical Guide clarifies many key terms and issues in social research methodology. It outlines the conventional meanings of these terms, but also addresses their contentious character. The aim is to offer interpretations of them that provide a coherent conception of the nature of social science. This book is premised on the idea that more clarity about the meaning of major methodological concepts is essential, and that the disagreements which pervade the field must be addressed. Numerous key terms are discussed across 13 chapters, including 'methodology', 'method', 'inquiry', 'research', 'science', 'truth', 'fact', 'rigour', 'bias', 'objectivity', 'data', 'evidence', 'induction', 'deduction', 'abduction', 'understanding', 'explanation', 'reflexivity', 'triangulation', 'theory', and 'researcher integrity'. These concepts have been implicated in fundamental divisions among social scientists, exemplified by the 'paradigm wars' of the past few decades. The chapters of this book provide an overview of the various meanings given to these terms, whilst also offering distinctive interpretations designed to provide a sound basis for social research. Methodological Concepts: A Critical Guide will be of great use to any student or researcher working in the social sciences.

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.

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.

This book focuses on the emotional hazards of conducting fieldwork about or within contexts of violence and provides a forum for field-based researchers to tell their stories. Increasingly novice and seasoned ethnographers alike, whether by choice or chance, are working in situations where multidimensional forms of violence, conflict and war are facets of everyday life. The volume engages with the methodological and ethical issues involved and features a range of expressive writings that reveal personal consequences and dilemmas. The contributors use their emotions, their scars, outrage and sadness alongside their hopes and resilience to give voice to that which is often silenced, to make visible the entanglements of fieldwork and its lingering vulnerabilities. The book brings to the fore the lived experiences of researchers and their interlocutors alike with the hope of fostering communities of care. It will be valuable reading for anthropologists and those from other disciplines who are embarking on ethnographic fieldwork and conducting qualitative empirical research.

This book explores the use of technology to detect, predict and understand social cues, in order to analyze and prevent conflict. Traditional human sciences approaches are enriched with the latest developments in Social Signal Processing aimed at an automatic understanding of conflict and negotiation. Communication-both verbal and non-verbal, within the context of a conflict-is studied with the aim of promoting the use of intelligent machines that automatically measure and understand the escalation of conflict, and are able to manage it, in order to support the negotiation process. Particular attention is paid to the integration of human sciences findings with computational approaches, from the application of correct methodologies for the collection of valid data to the development of computational approaches inspired by research on verbal and multimodal communication. In the words of the trade unionist Pierre Carniti, "We should reevaluate conflict, since without conflict there is no social justice." With this in mind, this volume does not approach conflict simply as an obstacle to be overcome, but as a concept to be fully analyzed. The philosophical, linguistic and psychological aspects of conflict, once understood, can be used to promote conflict management as a means for change and social justice.

Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big Data Explores how machine learning methods can be applied to the design, collection, and analysis of social science data Filled with examples and illustrations that show how survey data benefits Big Data evaluation Covers methods and applications used in combining Big Data with survey statistics Examines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.

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

This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting, addresses a broad range of topics, including the theory of statistical inference; data mining and multivariate statistical analysis; survey methodologies; analysis of social, demographic and health data; and economic statistics and econometrics.

God Talk: The Problem of Divine-Human Communication is a landmark publication, the first book to address the problem from the perspective of communication studies. In ten thought-provoking essays, communication scholars confront the "God Problem" by describing diverse approaches they have used in field research to study groups that claim to hear God while also balancing respect for informants' claims with their own personal beliefs. *** The intelligence of this exceptional book is a perfect ten. The theoretical depth of every chapter reflects research brilliance. The authors' clarity with ideas, ancient and contemporary, is knowledge production at its substantive best. -Clifford G. Christians, Research Professor of Communications Emeritus, University of Illinois Whether your interests include communication theory, rhetorical criticism, ethnography, or theology, regardless of your faith tradition-or absence of a faith tradition-it is a stimulating read. I highly recommend it. -Steven A. Beebe, Regents' and University Distinguished Professor Emeritus, Texas State University; Past President, National Communication Association As a religious communication scholar who also identifies as a theist-scholar, I found every chapter empowering, as they encourage the field to reconsider its positionality towards an area of scholarship that attempts to "measure the immeasurable." This book is a must! -Tina M. Harris, Professor, Endowed Chair of Race, Media, and Cultural Literacy, Louisiana State University God Talk: The Problem of Divine-Human Communication is a timely contribution to religious communication and communication studies. The authors examine the absence of God in communication theory and in engagement with others. I highly recommend this relevant work. -Ronald C. Arnett, Professor Emeritus, Duquesne University A much-needed contribution to the growing body of research at the intersection of communication and religion, this scholarly volume gathers work from established and emerging scholars to address a long-standing issue in the field of religious communication: the conundrum of divine-human communication. -Janie M. H. Fritz, Duquesne University; Executive Director, Religious Communication Association

God Talk: The Problem of Divine-Human Communication is a landmark publication, the first book to address the problem from the perspective of communication studies. In ten thought-provoking essays, communication scholars confront the "God Problem" by describing diverse approaches they have used in field research to study groups that claim to hear God while also balancing respect for informants' claims with their own personal beliefs. *** The intelligence of this exceptional book is a perfect ten. The theoretical depth of every chapter reflects research brilliance. The authors' clarity with ideas, ancient and contemporary, is knowledge production at its substantive best. -Clifford G. Christians, Research Professor of Communications Emeritus, University of Illinois Whether your interests include communication theory, rhetorical criticism, ethnography, or theology, regardless of your faith tradition-or absence of a faith tradition-it is a stimulating read. I highly recommend it. -Steven A. Beebe, Regents' and University Distinguished Professor Emeritus, Texas State University; Past President, National Communication Association As a religious communication scholar who also identifies as a theist-scholar, I found every chapter empowering, as they encourage the field to reconsider its positionality towards an area of scholarship that attempts to "measure the immeasurable." This book is a must! -Tina M. Harris, Professor, Endowed Chair of Race, Media, and Cultural Literacy, Louisiana State University God Talk: The Problem of Divine-Human Communication is a timely contribution to religious communication and communication studies. The authors examine the absence of God in communication theory and in engagement with others. I highly recommend this relevant work. -Ronald C. Arnett, Professor Emeritus, Duquesne University A much-needed contribution to the growing body of research at the intersection of communication and religion, this scholarly volume gathers work from established and emerging scholars to address a long-standing issue in the field of religious communication: the conundrum of divine-human communication. -Janie M. H. Fritz, Duquesne University; Executive Director, Religious Communication Association

This book is devoted to the modeling and understanding of complex urban systems. This second volume of Understanding Complex Urban Systems focuses on the challenges of the modeling tools, concerning, e.g., the quality and quantity of data and the selection of an appropriate modeling approach. It is meant to support urban decision-makers-including municipal politicians, spatial planners, and citizen groups-in choosing an appropriate modeling approach for their particular modeling requirements. The contributors to this volume are from different disciplines, but all share the same goal: optimizing the representation of complex urban systems. They present and discuss a variety of approaches for dealing with data-availability problems and finding appropriate modeling approaches-and not only in terms of computer modeling. The selection of articles featured in this volume reflect a broad variety of new and established modeling approaches such as: - An argument for using Big Data methods in conjunction with Agent-based Modeling; - The introduction of a participatory approach involving citizens, in order to utilize an Agent-based Modeling approach to simulate urban-growth scenarios; - A presentation of semantic modeling to enable a flexible application of modeling methods and a flexible exchange of data; - An article about a nested-systems approach to analyzing a city's interdependent subsystems (according to these subsystems' different velocities of change); - An article about methods that use Luhmann's system theory to characterize cities as systems that are composed of flows; - An article that demonstrates how the Sen-Nussbaum Capabilities Approach can be used in urban systems to measure household well-being shifts that occur in response to the resettlement of urban households; - A final article that illustrates how Adaptive Cycles of Complex Adaptive Systems, as well as innovation, can be applied to gain a better understanding of cities and to promote more resilient and more sustainable urban futures.

This volume illustrates the breadth of questions and approaches that are amenable to qualitative research. The works have both theoretical relevance and pragmatic significance, holding important implications for organizational scholars and practitioners alike.

Papers presented cover topics as varied as: examining how new institutions emerge and replace former ways of doing things; an insider/outsider approach to examine the emergence and spread of organization development activities in Boston's city government; an introduction of a methodology incorporating multidimensional scaling and repertory grid procedures to produce cognitive maps; conceptual distinction between justice and injustice; an examination of how representatives of several prominent US universities reacted to questions about hate speech policies implemented by their universities but banned by court order; linkages between leadership, organizational change, and managerial work; empirical systems modelling on entrepreneurs and entrepreneurship; and an extension of a study considering issues of replicability and generalization in several Indian R&D organizations.