Studying across race and ethnic lines creates many problems for the researcher. These problems involve practical, strategic, ethical, and epistemological questions alike. The contributors to Race and Ethnicity in Research Methods, most of them scholars of color, examine the array of methods used in quantitative, qualitative, and comparative/historical research to show how ethnic-sensitive research can best be carried out. Among the methodological traditions discussed are survey research, demography, testing and assessment, ethnography, discourse analysis, comparative methods, and archival research. Of interest not only to the researcher and instructor of race and ethnic studies, this volume should be of equal value to social scientists interested in teaching or practicing any form of research that needs to properly address issues of race and ethnicity. "This comprehensive guide will be an invaluable resource for anyone who teaches and/or is engaged in research in the field of race and ethnicity." --Behavioural Psychotherapy "I highly recommend this volume for those researchers who are genuinely interested in producing better and more creative solutions to some of the issues and problems involving racial and ethnic minority groups." --Journal of Marketing Research "In Race and Ethnicity in Research Methods, John H. Stanfield II and Rutledge M. Dennis call for serious and rigorous treatment of the subject which sheds the journalistic style, narrow focus, and cultural bias of much of past research. . . . They bring together 13 articles that reveal the rich diversity of methods available for researching ethnic groups and ethnic relations. . . . There is a healthy dose of multidisciplinarity. . . . The book is essential for U.S. race and ethnic researchers who seek to avoid the narrowness and pitfalls of much past research. I would recommend this book for research seminars on race and ethnic relations specifically and for general methodology courses which seek to present the diversity of approaches to sociological issues." --Contemporary Sociology "This book contains essays that will stimulate much discussion among scholars while providing practical, ethical, and strategic methodological considerations for conducting research across racial and ethnic lines." --Nursing Research

Many racial and ethnic groups in the United States, including blacks, Hispanics, Asians, American Indians, and others, have historically faced severe discriminationâ€"pervasive and open denial of civil, social, political, educational, and economic opportunities. Today, large differences among racial and ethnic groups continue to exist in employment, income and wealth, housing, education, criminal justice, health, and other areas. While many factors may contribute to such differences, their size and extent suggest that various forms of discriminatory treatment persist in U.S. society and serve to undercut the achievement of equal opportunity. Measuring Racial Discrimination considers the definition of race and racial discrimination, reviews the existing techniques used to measure racial discrimination, and identifies new tools and areas for future research. The book conducts a thorough evaluation of current methodologies for a wide range of circumstances in which racial discrimination may occur, and makes recommendations on how to better assess the presence and effects of discrimination.

Disparities in health and health care across racial, ethnic, and socioeconomic backgrounds in the United States are well documented. The reasons for these disparities are, however, not well understood. Current data available on race, ethnicity, SEP, and accumulation and language use are severely limited. The report examines data collection and reporting systems relating to the collection of data on race, ethnicity, and socioeconomic position and offers recommendations.

Racial and ethnic disparities in health care are known to reflect access to care and other issues that arise from differing socioeconomic conditions. There is, however, increasing evidence that even after such differences are accounted for, race and ethnicity remain significant predictors of the quality of health care received. In Unequal Treatment, a panel of experts documents this evidence and explores how persons of color experience the health care environment. The book examines how disparities in treatment may arise in health care systems and looks at aspects of the clinical encounter that may contribute to such disparities. Patients' and providers' attitudes, expectations, and behavior are analyzed. How to intervene? Unequal Treatment offers recommendations for improvements in medical care financing, allocation of care, availability of language translation, community-based care, and other arenas. The committee highlights the potential of cross-cultural education to improve provider-patient communication and offers a detailed look at how to integrate cross-cultural learning within the health professions. The book concludes with recommendations for data collection and research initiatives. Unequal Treatment will be vitally important to health care policymakers, administrators, providers, educators, and students as well as advocates for people of color.

With the Handbook of Action Research hailed as a turning point in how action research is framed and understood by scholars, this student edition has been structured to provide an easy inroad into the field for researchers and students. It includes concise chapter summaries and an informative introduction that draws together the different strands of action research and reveals their diverse applications as well as their interrelations. Divided into four parts, there are important themes of thinking and practice running throughout.

"A welcome and overdue contribution to the field. Identifying a need for an empirical guide to complement the abundant theoretical literature, this book combines a variety of practical avenues of advice with analytical sophistication, without losing any of the subject matter’s complexities. The contextual chapters are well judged and informative, while readers will surely find the careful selection and very clear presentation of the case studies particularly useful in thinking through the projects from start to completion." - Steve Garner, Open University This book offers a one stop guide to the meaning of racism, key studies in the field, core methodologies and an agenda for research for the future. Discussing the salient aspects of race and racism in contemporary society alongside methodological and practical considerations of qualitative research in the field, Researching Racism is not only an original textbook but also a crucial guide for anyone beginning their own research on racism. Based on Muzammil Quraishi and Rob Philburn’s extensive background as researchers, supervisors and teachers, this book: offers a clear and accessible account of an interdisciplinary and complex topic incorporates historical, legislative and international dimensions of race and racism outlines and illustrates a range of qualitative research methods provides case studies and engaging examples includes a tool kit for researchers of racism. This is an indispensable guide for students wanting to research race and racism across the social sciences.

The goal of eliminating disparities in health care in the United States remains elusive. Even as quality improves on specific measures, disparities often persist. Addressing these disparities must begin with the fundamental step of bringing the nature of the disparities and the groups at risk for those disparities to light by collecting health care quality information stratified by race, ethnicity and language data. Then attention can be focused on where interventions might be best applied, and on planning and evaluating those efforts to inform the development of policy and the application of resources. A lack of standardization of categories for race, ethnicity, and language data has been suggested as one obstacle to achieving more widespread collection and utilization of these data. Race, Ethnicity, and Language Data identifies current models for collecting and coding race, ethnicity, and language data; reviews challenges involved in obtaining these data, and makes recommendations for a nationally standardized approach for use in health care quality improvement.