This title consists of 19 essays dealing with the medical knowledge and beliefs of cultures outside of the United States and Europe. In addition to articles surveying Islamic, Chinese, Native American, Aboriginal Australian, Indian, Egyptian, and Tibetan medicine, the book includes essays on comparing Chinese and western medicine and religion. The essays address the connections between medicine and culture and relate the medical practices to the cultures which produced them. Each essay is well illustrated and contains an extensive bibliography. Because the geographic range is global, the book should fill a gap in both the history of medicine and in cultural studies. It should find a place on the bookshelves of advanced undergraduate students, graduate students, and scholars, as well as in libraries serving those groups.

This book examines multilateral interventions in civil conflicts and the evolution of the role of such interventions in world politics. It focuses primarily on the Cold War and post-Cold War eras and the differences between them. It contests the notion that there is an emerging norm of humanitarian intervention in international politics, arguing that political interests remain essential to the practice of intervention.

This bibliography is a current source of information for researchers, practitioners, and planners interested in the older volunteer. The authors conducted an extensive search of material on the older volunteer, with emphasis on those works published between 1980 and 1991. After identifying approximately 700 sources, the authors selected nearly 400 for inclusion in this reference. The entries are grouped in seven topical chapters, and each entry includes a succinct annotation. Included are entries for books and articles on particular programs, characteristics of older volunteers, sources of statistical information, empirical research, and special population groups. Author and subject indexes conclude the work.

This volume, from the Policy Studies Organization, examines the role of presidential leadership in the development and implementation of civil rights policy in the United States. Covering a broad time period, the work takes a social scientific approach to the understanding of civil rights, utilizing both quantitative and archival research. The editors attempt to place and analyze civil rights in context--as a policy arena representative of broader presidential leadership concerns--and look at the development of civil rights policy since Brown v. Board of Education from the perspectives of (1) the public, (2) government institutions, and (3) particular policy arenas.

Do you ever feel at a loss on how to proceed with a particular set of data? Your Statistical Consultant can provide the answer. This comprehensive guide introduces, describes, and makes recommendations regarding difficult statistical problems and techniques. The authors discuss common problems by addressing frequently asked questions; provide a conceptual overview of topics and techniques; give accounts of such new-found topics as the debate over statistical significance, effect sizes and meta-analysis; and highlight and explain key terms and points.

Polls are at their best as indicators of public opinion when they allow comparisons over extended periods of time. Yet all too often changes in question working and in questionnare content make over-time comparisons impossible. This work overcomes this difficulty by bringing together for the first time a compendium of results using identically worded questions on a wide range of social, political, and economic topics of importance to the American people. Chapter introductions summarize trends in the various areas surveyed and discuss problems of interpretation. The chapters on political behavior and attitudes present findings on party identification, political tolerance, voting, civil liberties, international affairs, and related issues. Chapters on work, the family, and sexuality cover such topics as job prestige and satisfaction, the role of women, divorce, family size, sex education, abortion, premarital and extramarital sex, homosexuality, and pornography. Other issues addressed include crime and violence, race, death and dying, life style, and general attitudes toward life. Trend analysis based on General Social Surveys conducted regularly by The National Opinion Research Center of the University of Chicago since 1972 is supplemented by data from 25 other sources extending as far back as the 1930s. The questions chosen are meaningful and standardized and have been asked in interviews over a significant period. Survey results are displayed in a highly readable format that facilitates comparisons over time. An appropriate choice for the library reference collection, this book is a valuable research tool and source for scholars in political science, psychology, and sociology, as well as journalists, policy makers, and other professionals concerned with public opinion.

It is only just recently that people have the tools to judge how well they are doing when making decisions. These tools were conceptualized in the seventeenth century. Since then many people have worked to sharpen the concepts, and to explore how these can be applied further. The problems of decision-making and the theory developed correspondingly have drawn the interest of mathematicians, psychologists, statisticians, economists, philosophers, organizational experts, sociologists, not only for their general relevance, but also for a more intrinsic fascination. There are quite a few institutionalized activities to disseminate results and stimulate research in decision-making. For about a decade now a European organizational structure, centered mainly around the psy chological interest in decision-making. There have been conferences in Hamburg, Amsterdam, Uxbridge, Rome and Darmstadt. Conference papers have been partly published]. The organization has thus stabilized, and its re latively long history makes it interesting to see what kind of developments occurred, within the area of interest."

*A WATERSTONES 'BEST POLITICAL BOOK OF THE YEAR'* *A TIMES 'BEST PHILOSOPHY AND IDEAS' BOOK OF 2021* *A GUARDIAN 'BEST POLITICS BOOKS OF THE YEAR'* LONGLISTED FOR THE 2022 BUSINESS BOOK AWARD 'A brilliant manifesto explaining why women are still so underestimated and overlooked in today's world, but how we can also be hopeful for change' - Philippa Perry 'An impassioned, meticulously argued and optimistic call to arms for anyone who cares about creating a fairer society' - Observer __________ Imagine living in a world in which you were routinely patronised by women. Imagine having your views ignored or your expertise frequently challenged by them. Imagine people always addressing the woman you are with before you. Now imagine a world in which the reverse of this is true. The Authority Gap provides a startling perspective on the unseen bias at work in our everyday lives, to reveal the scale of the gap that still persists between men and women. Would you believe that US Supreme Court Justices are interrupted four times more often than male ones... 96% of the time by men? Or that British parents, when asked to estimate their child's IQ will place their son at 115 and their daughter at 107? Marshalling a wealth of data with precision and insight, and including interviews with pioneering women such as Baroness Hale, Mary Beard and Bernadine Evaristo, Mary Ann exposes unconscious bias in this fresh feminist take on how to address and counteract systemic sexism in ways that benefit us all. Includes interviews with pioneering women such as: Baroness Hale Mary Beard Bernadine Evaristo Mary McAleese Julia Gillard Dolly Alderton and Pandora Sykes Cherie Blair Liz Truss Amber Rudd Frances Morris Laura Bates __________ 'Hugely exciting' - Emily Maitlis 'Deeply researched, profoundly thoughtful and a book very much for the here and now: Mary Ann Sieghart's The Authority Gap is the book she was probably born to write' - Andrew Marr 'At last here is a credible roadmap that is capable of taking women from the margins to the centre by bridging the authority gap that holds back even the best and most talented of women. - Mary McAleese, Former President of Ireland

This book shows the impact of the current economic reform on the income development of peasant households in the People's Republic of China. The research was based on detailed information derived from book-keeping records of the sample households of a few selected regions in central China, the national statistical network, local statistics and chronicles. Moreover, the basic tools of economic analysis were applied to the main problems of Chinese rural economy: marketing and pricing of agricultural input and output goods; structural adjustment; labour productivity and outmigration; income distribution; farmer's decision on investment and consuption. This will lead to a better understanding about current development of China.

Research in Community and Mental Health

This book is based on the papers presented at a conference on "New Issues in Industrial Economics" held at Case Western Reserve University, Cleveland, Ohio, June 8-10, 1987. The conference was organized by the Research Program in Industrial Economics (RPIE) in the Department of Economics at CWRU and was sponsored by The Cleveland Foundation, the Eaton Corporation, and The Standard Oil Company (later renamed BP America, Inc.). Their generous support is gratefully acknowledged. All of the papers have been revised, in several cases extensively, since their presentation at the conference. One of the primary reasons for organizing the conference was the concern that Industrial Economics has become too narrowly focused in most academic programs, largely being confined to Industrial Organization, i.e., issues of public policy towards enterprise with emphasis on antitrust and regulatory policy. This subject definition leaves out a number of interesting and important questions about how industries evolve over time, what the role of technological change (and organizational change) is in that process, and the associated structural changes within industries and firms. The object of this book is to derme these issues and suggest a framework within which they can be analyzed. I would like to thank all the conference participants for their contributions, particularly my colleagues at CWRU, Asim Erdilek and William S. Peirce, without whose encouragement and support the conference would not have taken place.

This introductory volume includes worked examples from a variety of data sets about the most frequently used models and computer programs for MDS, as well as techniques for collecting data and assessing MDS results. It covers the design, execution, and analysis of multidimensional scaling experiments and includes detailed descriptions and examples of six major MDS computer programs: MINISSA, POLYCON, KYST, INDSCAL/SINDSCAL, ALSCAL and MULTISCALE. These six approaches are sufficiently fundamental that continuing developments in the field will build on the principles presented in this volume.

The domains of Pattern Recognition and Machine Learning have experienced exceptional interest and growth, however the overwhelming number of methods and applications can make the fields seem bewildering. This text offers an accessible and conceptually rich introduction, a solid mathematical development emphasizing simplicity and intuition. Students beginning to explore pattern recognition do not need a suite of mathematically advanced methods or complicated computational libraries to understand and appreciate pattern recognition; rather the fundamental concepts and insights, eminently teachable at the undergraduate level, motivate this text. This book provides methods of analysis that the reader can realistically undertake on their own, supported by real-world examples, case-studies, and worked numerical / computational studies.

The Handbook series provides a compendium of thorough and integrative literature reviews on a diverse array of topics of interest to the higher education scholarly and policy communities. Each chapter provides a comprehensive review of research findings on a selected topic, critiques the research literature in terms of its conceptual and methodological rigor, and sets forth an agenda for future research intended to advance knowledge on the chosen topic.

This book features interviews with 19 scholars who do research with children in a variety of contexts. It examines how these key scholars address research 'after the child' by exploring the opportunities and challenges of drawing on posthumanist and materialist methodologies that unsettle humanist research practices. The book reflects on how posthumanist and materialist approaches have informed research in relation to de-centering the child, re-thinking methodological concepts of voice, agency, data, analysis and representation. It also explores what the future of research after the child might entail and offers suggestions to new and emerging scholars involved in research with children. Reviewing how posthumanist and materialist approaches have informed authors' thinking about children, research and knowledge production, the book will appeal to graduate students and emerging scholars in the field of childhood studies who wish to experiment with posthumanist methodologies and materialist approaches.

Gini's mean difference (GMD) was first introduced by Corrado Gini in 1912 as an alternative measure of variability. GMD and the parameters which are derived from it (such as the Gini coefficient or the concentration ratio) have been in use in the area of income distribution for almost a century. In practice, the use of GMD as a measure of variability is justified whenever the investigator is not ready to impose, without questioning, the convenient world of normality. This makes the GMD of critical importance in the complex research of statisticians, economists, econometricians, and policy makers. This book focuses on imitating analyses that are based on variance by replacing variance with the GMD and its variants. In this way, the text showcases how almost everything that can be done with the variance as a measure of variability, can be replicated by using Gini. Beyond this, there are marked benefits to utilizing Gini as opposed to other methods. One of the advantages of using Gini methodology is that it provides a unified system that enables the user to learn about various aspects of the underlying distribution. It also provides a systematic method and a unified terminology. Using Gini methodology can reduce the risk of imposing assumptions that are not supported by the data on the model. With these benefits in mind the text uses the covariance-based approach, though applications to other approaches are mentioned as well.

The book is a collective investigation of the structuring of theses in education, the social sciences and other disciplines that commonly do not follow the standard procedures of the scientific method. To help research students design a structure for their own thesis and liberate their investigations from the constraints associated with the use of the conventional structure, it explains how the structures adopted were designed to suit the topic, methodology and paradigm. It also provides a wide range of examples to draw upon, which suit a broad spectrum of theory, methodological approaches, research methods and paradigms. Additionally, by analyzing the methodologies and paradigms, and reviewing the methodological and paradigmatic spectrum, it offers a significant contribution to the way research is conceptualized. The book addresses a number of key questions faced by students, supervisors and examiners: *Why do examiners often find it difficult to read work in non-scientific disciplines when theses are structured in accordance with the conventional scientific method? *Why do students in non-scientific disciplines struggle to write up the outcomes of their research in the conventional structure? *What alternative thesis structures can be devised to better suit the wide range of methods? *Which theories and paradigms are commonly followed in education and the social sciences and how do these perspectives influence the research process? *What methods, theories and paradigms are commonly adopted by education and social science students and what problems do these pose when students write their theses?

This book discusses the personal and professional challenges of conducting fieldwork in the difficult, sometimes threatening contexts of the transforming societies of post-socialist Europe and China. Field research is a distinctly human effort and the social relationships between researchers, third parties and respondents directly affect the quality of research findings. With unusual frankness, the authors share their personal field experiences and discuss both the imaginative strategies they have devised to cope with problems and the methodological lessons they have learned.

This book focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in corresponding survey books. Moreover, it presents numerous empirical examples from the author's extensive research experience, particularly real data sets from multinational surveys.

Hierarchy is a form of organisation of complex systems that rely on or produce a strong differentiation in capacity (power and size) between the parts of the system. It is frequently observed within the natural living world as well as in social institutions. According to the authors, hierarchy results from random processes, follows an intentional design, or is the result of the organisation which ensures an optimal circulation of energy for information.

This book reviews ancient and modern representations and explanations of hierarchies, and compares their relevance in a variety of fields, such as language, societies, cities, and living species. It throws light on concepts and models such as scaling laws, fractals and self-organisation that are fundamental in the dynamics and morphology of complex systems.

At a time when networks are celebrated for their efficiency, flexibility and better social acceptance, much can be learned about the persistent universality and adaptability of hierarchies, and from the analogies and differences between biological and social organisation and processes. This book addresses a wide audience of biologists and social scientists, as well as managers and executives in a variety of institutions.

This book provides a guide to such budding social researchers, who are non-native English speakers drawing examples from literature to show how to conduct a research, present research results, integrate with existing literature to draw conclusions through real-world examples. Existing English books teaching research methods and philosophy of academic research are written in 'academic English' and, it is hard for non-native English-speaking budding researchers to study and understand those books. Also, this book uses examples to show how to communicate with journal editors and peer reviewers to get published the research results as journal articles, book chapters or conference papers. This book connects different quantitative techniques, qualitative methodologies (case studies, phenomenology and ethnography and Grounded theory) as well as Mixed methods methodology through a single example. This book attempts to describe a holistic approach introducing a 10Ps model that incorporates the essential elements of the research process. The process focuses on combining philosophical framework and arguments from research results. This book focuses not only on conducting a research project, but also on the approach and procedures to be followed to achieve higher marks for course work assignments and publishing research articles in international journals. This book shows how to create many papers from one research/data set to increase number of publications and citations. This book has fewer words and more illustrations, tables, figures, pictures and YouTube tutorial links. This book outlines how to present test results in APA style for all the statistical test used in this book, using examples.

This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry. The chapters cover effective approaches in dealing with the inherent complexity and increasing demands of big data management from an applications perspective. Various case studies included have been reported by data analysis experts who work closely with their clients in such fields as education, banking, and telecommunications. Understanding how data management has been adapted to these applications will help students, instructors and professionals in the field. Application areas also include the fields of social network analysis, bioinformatics, and the oil and gas industries.

As the first complete portrait of U.S. adolescents, this resource provides information long needed by researchers working in this critical field of study. The handbook includes a wide variety of information about American adolescents, aged 12 to 21, who must deal with societal and cultural pressures unique to their generation. The extensive collection of data contained in this definitive resource will give readers the information they need to accurately assess the status of adolescents in America today.

Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition: Thoroughly updated throughout to reflect IBM SPSS Versions 26-27. Introduction to fixed-effects regression for examining change over time where random-effects modeling may not be an optimal choice. Additional treatment of key topics specifically aligned with multilevel modeling (e.g., models with binary and ordinal outcomes). Expanded coverage of models with cross-classified and multiple membership data structures. Added discussion on model checking for improvement (e.g., examining residuals, locating outliers). Further discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures. Supported by online data sets, the book's practical approach makes it an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in departments of business, education, health, psychology, and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques, Fourth Edition; however, it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text.