This book provides the first English-language account of the history of Danish sociology, examining it from the late 19th century to the present day. Focusing on the discipline's struggle for recognition in Denmark, it is a case study of how sociological knowledge has entered into ever-changing coalitions with welfare state bureaucracies.

Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using Mplus Focusing on the conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts and examples of various SEM models, along with updates on many advanced methods, including confirmatory factor analysis (CFA) with categorical items, bifactor model, Bayesian CFA model, item response theory (IRT) model, graded response model (GRM), multiple imputation (MI) of missing values, plausible values of latent variables, moderated mediation model, Bayesian SEM, latent growth modeling (LGM) with individually varying times of observations, dynamic structural equation modeling (DSEM), residual dynamic structural equation modeling (RDSEM), testing measurement invariance of instrument with categorical variables, longitudinal latent class analysis (LLCA), latent transition analysis (LTA), growth mixture modeling (GMM) with covariates and distal outcome, manual implementation of the BCH method and the three-step method for mixture modeling, Monte Carlo simulation power analysis for various SEM models, and estimate sample size for latent class analysis (LCA) model. The statistical modeling program Mplus Version 8.2 is featured with all models updated. It provides researchers with a flexible tool that allows them to analyze data with an easy-to-use interface and graphical displays of data and analysis results. Intended as both a teaching resource and a reference guide, and written in non-mathematical terms, Structural Equation Modeling: Applications Using Mplus, 2nd edition provides step-by-step instructions of model specification, estimation, evaluation, and modification. Chapters cover: Confirmatory Factor Analysis (CFA); Structural Equation Models (SEM); SEM for Longitudinal Data; Multi-Group Models; Mixture Models; and Power Analysis and Sample Size Estimate for SEM. Presents a useful reference guide for applications of SEM while systematically demonstrating various advanced SEM models Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes Provides step-by-step instructions of model specification and estimation, as well as detailed interpretation of Mplus results using real data sets Introduces different methods for sample size estimate and statistical power analysis for SEM Structural Equation Modeling is an excellent book for researchers and graduate students of SEM who want to understand the theory and learn how to build their own SEM models using Mplus.

The purpose of this book is to break a number of the conventions of research texts by writing an academic text on methodology as a case study of building case studies, one that cites classic works in the field and contains autobiographical considerations throughout its account, one that narrates the conscious process of designing a framework from the range of philosophies that were involved in chronicling this topic.

Chavkin tests the theory that there is a relationship between organizational structure and the use of research recommendations in school social work. Part I includes three chapters that explore the complex relationship between applied social science research and practice. Part II is the case example of the use of Costin's recommendation for changes in the goals and methods of school social service delivery. Part III presents the implications of the case for practice, policy, and theory, and provides suggestions for future research. Chavkin's organizational perspective adds to the information social workers have about why research findings are adopted in some organizations and not in others, and how organizational structure factors facilitate or inhibit adoption. Recommended for social work scholars and practitioners, researchers, and agency leaders.

This volume presents both a historical exploration of ethnography and a thematic discussion of major trends that, over different periods, have oriented and re-oriented research practice. As it overviews ethnography from different geographic and thematic perspectives, it further explores new lines of ethnographic research, including as feminist ethnography and visual research, that uncover non-traditional routes to anthropological knowledge. As the great ethnographer E. E. Evans-Pritchard wrote, "Anyone who is not a complete idiot can do fieldwork... but will [his contribution] be to theoretical, or just to factual knowledge?" As Evans-Pritchard highlights and as this book argues, successful ethnography must be connected to a sophisticated theoretical reflection rooted in social and cultural anthropology.

Leading African American scholars examine the often neglected cultural context in research and policy development in African American higher education in this collection of essays. Past research has most often been conducted by individuals unfamiliar with the historical and cultural considerations of specific ethnic groups. Therefore, the outcomes of research and the development of programs have been based on deficit models, that is, what is wrong with African Americans, or what they cannot achieve. The book examines the questions; what is the relationship between African Americans' culture and experiences, and how should their culture be integrated into research and practice? How do African Americans' intra- and interrelations differ in higher education? How does understanding African American culture as it relates to higher education research enhance policy-making and practice? What role do HBUCs play in African Americans' participation in higher education? What are the policy and practice implications of past and current research? Scholars and practitioners of education, culture, and race relations will find this collection informative and interesting.

This book proposes a revolutionary new theory of construct measurement - called C-OAR-SE - for the social sciences. The acronym is derived from the following key elements: construct definition; object representation; attribute classification; rater entity identification; selection of item type; enumeration and scoring. The new theory is applicable to the design of measures of constructs in: * Management * Marketing * Information Systems * Organizational Behavior * Psychology * Sociology C-OAR-SE is a rationally rather than empirically-based theory and procedure. It can be used for designing measures of the most complex and also the most basic constructs that we use in social science research. C-OAR-SE is a radical alternative to the traditional empirically-based psychometric approach, and a considerable amount of the book's content is devoted to demonstrating why the psychometric approach does not produce valid measures. The book argues that the psychometric approach has resulted in many misleading findings in the social sciences and has led to erroneous acceptance - or rejection - of many of our main theories and hypotheses, and that the C-OAR-SE approach to measurement would correct this massive problem. The main purpose of this book is to introduce and explain C-OAR-SE construct measurement theory in a way that will be understood by all social science researchers and that can be applied to designing new, more valid measures. Featuring numerous examples, practical applications, end-of-chapter questions, and appendices, the book will serve as an essential resource for students and professional researcher alike.

This annual publication is devoted to the advancement of ethics research and education in the profession and practice of accounting. It aims to advance innovative and applied ethics research in all accounting-related disciplines on a global basis; to improve ethics education in and throughout the professional accounting and management curricula at the undergraduate and graduate levels; and to provide a source of information for the professional eccounting and auditing community for integrating ethics and good business practices in public firms, business corporations, and governmental organizations. This annual's primary objective is to provide a forum for business leaders and educators to discuss and debate the plethora of ethical issues that affect accounting organizations and the financial community in the USA and abroad. It includes commentary and editorials from accounting practitioners, standard setters and regulators. Papers are empirical or theoretical in nature, and draw upon paradigms in related disciplines such as philosophy, psychology, theology, economics and sociology. Volume 2 includes a section on the public interest considerations of ethical obligations of CPAs in advertising and solicitation. Other subjects covered include: ethics violations in the accountancy profession; applying behavioural models as prescriptions for ethics in accountancy practice and education; auditor's responsibility to the public; and the impact of ethics education in accountancy curricula.

This book explores the webs of vulnerability in methodological decision-making that illustrate the deceptive strength of qualitative research. Each chapter will resonate with readers differently as they read themselves into the tensions and tangles of qualitative research when confronted with the challenges of establishing methodological frameworks for educational and social enquiry. The authors are postgraduate, early career researchers and supervisors who analyse their methodological encounters with the nimble, fluid, messy and iterative processes of qualitative research. The book flows structurally from positioning the researcher within these processes to the manoeuvring of self across necessarily selective social science disciplines in education, arts and humanities. It rejuvenates the pioneering spirit, the sense of mission and innovativeness of qualitative research.

This is the second volume of papers in the topical area of environmental management. Arising from work done by the International Centre for the Environment at the University of Bath, the papers address interdisciplinary environmental themes particularly from a business and management perspective.

How can human capabilities be articulated and promoted in practice? How can the challenges encountered in its application be addressed? This volume answers these research questions through nine country case studies from the Global North and the Global South.

The personal anecdotes and candid reflections on the lives and work of these important critical scholars, and their predictions on the future of the field, make this book a valuable resource for scholars and students of communication, media studies, political economy, political science, and those interested in critical theoretical approaches.

Involvement of community partners in the structure and design of services is largely accepted in principle, but its practice is heavily contested. This book argues that the co-production of research is one of the best ways to involve community partners. As well as having intrinsic value in and of itself, research embeds a culture of learning, co-production and of valuing research within organizations. It also creates a mechanism for developing evidence for, monitoring and evaluating subsequent ideas and initiatives that arise from other co-production initiatives. The book makes a case for research to be a synthesis of participatory research, critical pedagogy, peer research and community organizing. It develops a model called Participatory Pedagogic Impact Research (PPIR). Participatory research is often criticized for not having the impact it promises. PPIR ensures that the issues chosen, and the recommendations developed, serve the mutual self-interest of stakeholders, are realistic and realizable. At the same time this approach pushes the balance of power towards the oppressed using methods of dissemination that hold decision makers to account and create real change. PPIR also develops a robust method for creatively identifying issues, methods and analytic frameworks. Its third section details case studies across Europe and the United States of PPIR in action with professional researchers' and community partners' reflections on these experiences. This book gives a unique articulation of what makes for genuinely critical reflective spaces, something underdeveloped in the literature. It should be considered essential reading for both participatory research academics and those involved in health and social care services in the planning, commissioning and delivery of services.

This book brings feminist theories and concepts to the sociology of risk in an attempt to carve out a framework for intersectional risk theories in times of ambivalence. The authors purport that risk is pervasive in the Global North, and is fast becoming a hegemonic governing principle. In order to understand this crucial aspect of society, sociological risk theories and risk analysis must go beyond power and social inequalities, to incorporate an intersectional risk approach that takes into account gender, race and other critical perspectives. Their proposed framework will provide the tools to assess how risk is situated in different configurations of power, revealing cracks and openings in the weft of power and rethinking risk governance in contemporary society. By utilising an intersectional and nuanced analysis, the everyday understanding, practices and discourses of risk can be explored and better understood. This book will be of interest to scholars and students who value the importance of establishing interdisciplinary networks between risk theory, sociology, politics and more in order to study the contemporary world.

Late in a career of more than sixty years, Thomas Burch, an internationally known social demographer, undertook a wide-ranging methodological critique of demography. This open access volume contains a selection of resulting papers, some previously unpublished, some published but not readily accessible. Rejecting the idea that demography is simply a branch of applied statistics, his work views it as an autonomous and complete scientific discipline. When viewed from the perspective of modern philosophy of science, specifically the semantic or model-based school, demography is a balanced discipline, with a rich body of techniques and data, but also with more and better theories than generally recognized. As demonstrated in this book, some demographic techniques can also be seen as theoretical models, and some substantive/behavioral models, commonly rejected as theory because of inconsistent observations, are now seen as valuable theoretical models, for example demographic transition theory. This book shows how demography can build a strong theoretical edifice on its broad and deep empirical foundation by adoption of the model-based approach to science. But the full-fruits of this approach will require demographers to make greater use of computer modeling in the statement and manipulation of theoretical ideas, as well as for numerical computation.

This volume clearly demonstrates the diversity of our field. Twenty-two scholars have contributed thirteen unique pieces of research on a wide variety of topics including public management innovation; organizational learning; revenue forecasting; finance; qualitative research and research methods; intergovernmetnal relations; training and management information systems; bureaucratic responsibility; citizen participation; political influence of the bureaucracy; critiques of policy making; public administration research. This collection makes a rich contribution of knowledge to our field.

Thirty-two years after the publication of the legendary 'Rasch book' (Rasch, 1960), the rich literature on the Rasch model and its extensions was scattered in journals and many less accessible sources, including 'grey' literature. When asked by students or junior researchers for references to the Rasch model, it was a typical reaction on the part of the editors to state that it was difficult to name one, or just a few; actually, only a whole list of references differing in notation and level of formal abstraction seemed to meet the request in most cases. Therefore, in 1992 the editors decided to invite a number of outstanding authors in the field of Rasch modeling to contribute to a book presenting the current state of knowledge about Rasch models. The aim was not just to collect a number of papers on the subject, rather to produce a well-organized monograph. To this end, a workshop was held in Vienna from 25 to 27 February 1993 in which, after a process of mutual reviewing, drafts of all chapters were read and discussed by all authors, leading to a more systematic organization of the topics treated in unified notation and terminology. (The workshop was sponsored by the University of Vienna; here, the editors would like to express their thanks, in the name of all contributors, both for the financial support and for the hospitality granted.

Generalizability theory offers an extensive conceptual framework and a powerful set of statistical procedures for characterizing and quantifying the fallibility of measurements. It liberalizes classical test theory, in part through the application of analysis of variance procedures that focus on variance components. As such, generalizability theory is perhaps the most broadly defined measurement model currently in existence. It is applicable to virtually any scientific field that attends to measurements and their errors, and it enables a multifacteted perspective on measurement error and its components. This book provides the most comprehensive and up-to-date treatment of generalizability theory. In addition, it provides a synthesis of those parts of the statistical literature that are directly applicable to generalizability theory. The principal intended audience is measurement practitioners and graduate students in the behavioral and social sciences, although a few examples and references are provided from other fields. Readers will benefit from some familiarity with classical test theory and analysis of variance, but the treatment of most topics does not presume specific background. Robert L. Brennan is E.F. Lindquist Professor of Educational Measurement at the University of Iowa. He is an acknowledged expert in generalizability theory, has authored numerous publications on the theory, and has taught many courses and workshops on generalizability. The author has been Vice-President of the American Educational Research Association and President of the National Council on Measurement in Education (NCME). He has received NCME Awards for Outstanding Technical Contributions to Educational Measurement and Career Contributions to Educational Measurement.

Prove It With Figures displays some of the tools of the social and statistical sciences that have been applied in the courtroom and to the study of questions of legal importance. It explains how researchers can extract the most valuable and reliable data that can conveniently be made available, and how these efforts sometimes go awry. In the tradition of Zeisel's standard work "Say It with Figures," the authors clarify, in non-technical language, some of the basic problems common to all efforts to discern cause-and-effect relationships. Designed as a textbook for law students who seek an appreciation of the power and limits of empirical methods, this is also a useful reference for lawyers, policymakers, and members of the public who would like to improve their critical understanding of the statistics presented to them. The many case histories include analyses of the death penalty, jury selection, employment discrimination, mass torts, and DNA profiling.

Population ageing is an important trend which will be experienced in industrialized countries in the early years of the next century. This significant book examines aspects of population ageing and pensions, with an emphasis on the design and use of simple economic models to focus on particular aspects of a very broad problem. The analysis of pensions presents many complex problems. A major aim of this book is to demonstrate how reasonably simple economic models can be designed and used to shed some light on the issues involved in population growth and pension provision. The basic analytics of population growth and pension structure are first explored. Projections for Australia are examined and used to model ageing and social expenditure and to estimate the 'burden' of aged care on future workers. The author goes on to investigate pensions and pension finance, and examines several types of economic model before turning to the analysis of alternative pension arrangements using a lifetime simulation model. The results of the study suggest that both lower contribution rates and a universal pension encourage a later retirement age. This book will prove invaluable to students and scholars of public sector economics, welfare economics, social economics and public finance.

By now, most academics have heard something about the new science of complexity. In a manner reminiscent of Einstein and the last hundred years of physics, complexity science has captured the public imagination. (R) One can go to Amazon. com and purchase books on complexification (Casti 1994), emergence (Holland 1998), small worlds (Barabasi 2003), the web of life (Capra 1996), fuzzy thinking (Kosko 1993), global c- plexity (Urry 2003) and the business of long-tails (Anderson 2006). Even television has incorporated the topics of complexity science. Crime shows (R) (R) such as 24 or CSI typically feature investigators using the latest advances in computational modeling to "simulate scenarios" or "data mine" all p- sible suspects-all of which is done before the crime takes place. The (R) World Wide Web is another example. A simple search on Google. Com using the phrase "complexity science" gets close to a million hits! C- plexity science is ubiquitous. What most scholars do not realize, however, is the remarkable role sociologists are playing in this new science. C- sider the following examples. 0. 1 Sociologists in Complexity Science The first example comes from the new science of networks (Barabasi 2003). By now, most readers are familiar with the phenomena known as six-degrees of separation-the idea that, because most large networks are comprised of a significant number of non-random weak-ties, the nodes (e. g. , people, companies, etc.

Based on one of the most extensive scientific surveys of race ever conducted, this book investigates the relationship between racial perceptions and policy choices in America. The contributors-leading scholars in the fields of public opinion, race relations, and political behavior-clarify and explore images of African-Americans that white Americans hold and the complex ways that racial stereotypes shape modern political debates about such issues as affirmative action, housing, welfare, and crime. The authors make use of the largest national study of public opinion on racial issues in more than a generation-the Race and Politics Study (RPS) conducted by the Survey Research Center at the University of California. The RPS employed methodological improvements made possible by Computer Assisted Telephone Interviewing, a technique that enables analysts to combine the internal validity of laboratory experiments with the external validity of probability sampling. Taking full advantage of these research methods, the authors offer highly nuanced analyses of subjects ranging from the sources of racial stereotypes to the racial policy preferences of Democrats and Republicans to the reasons for resistance to affirmative action. Their findings indicate that while crude and explicit forms of racial prejudice may have declined in recent decades, racial stereotypes persist among many whites and exert a powerful influence on the ways they view certain public policies.

Read Chapter One.

"Initiate[s] a useful and innovative dialogue. . . . A very important book, especially in its opening up a discussion of methodological issues around current research on racism and racial grouping."
-- "Contemporary Sociology"

"Essential reading for all those whose research explicitly engages racial issues-and for all those who do not realize that their work inevitably engages racial issues."
"-Ruth Frankenberg, author of White Women, Race Matters and editor of Displacing Whiteness: Essays in Cultural Criticism"

"Absolutely critical reading. This volume powerfully explores how scholars' own racial background shapes the analytical lens with which they view whiteness, blackness . . . the exoticism and eroticism of racial 'others' and the domain of white privilege."
"-William Darity, Jr., coauthor of Persistent Disparity and Boshamer Professor of Economics at the University of North Carolina at Chapel Hill, Research Professor of Public Policy and Professor of Economics, Sociology and African American Studies at Duke University"

"Timely and challenging, this innovative book engages questions and dilemmas that researchers on race and racism rarely talk about in public. Refreshingly clear and comparative in scope, it is a must reading in all courses about race and ethnic relations, calling for a fundamental rethinking of research agendas in this field."
"-John Solomos, author of Race and Racism in Britain, coeditor of The Blackwell Companion to Racial and Ethnic Studies, and Professor of Sociology, South Bank University (London)"

"Points to the ethical dilemmas of researchers researching race among communities that are at once 'victims' ofracism and active in the continued process of racialization."
"-Rinaldo Walcott, author of Black Like Who?, and Professor of Humanities, York University (Canada)"

"A remarkable collection of essays interrogating the political, methodological and ethical dilemmas of conducting research in racially stratified societies. These theoretically astute and ethnographically rich case studies compellingly demonstrate how the production of knowledge is framed and mediated by the racialized subject positions held by social scientists. Racing Research, Researching Race will no doubt incite a critical and long overdue discussion of the racial politics of ethnographic fieldwork."
"-Steven Gregory, author of Black Corona, and Professor of Africana and American Studies at New York University"

A white woman studies upper-class eighth grade girls at her alma mater on Long Island and finds a culture founded on misinformation about its own racial and class identity. A black American researcher is repeatedly assumed by many Brazilian subjects to be a domestic servant or sex worker.

Racing Race, Researching Race is the first volume of its kind to explore how ideologies of race and racism intersect with nationality and gender to shape the research experience.

Critical work in race studies has not adequately addressed how racial positions in the field--as inflected by nationality, gender, and age--generate numerous methodological dilemmas. Racing Research, Researching Race begins to fill this gap by infusing critical race studies with more empirical work and suggesting how a critical race perspective might improve research methodologies and outcomes.

The contributors to the volume encompassa wide range of disciplinary backgrounds including anthropology, sociology, ethnic studies, women=s studies, political science, and Asian American studies.