What do we mean in the U.S. today when we use the terms "race" and "ethnicity"? What do we mean, and what do we understand, when we use the five standard race-ethnic categories: White, Black, Asian, Native American, and Hispanic? Most federal and state data collection agencies use these terms without explicit attention, and thereby create categories of American ethnicity for political purposes. Davora Yanow argues that "race" and "ethnicity" are socially constructed concepts, not objective, scientifically-grounded variables, and do not accurately represent the real world. She joins the growing critique of the unreflective use of "race" and "ethnicity" in American policymaking through an exploration of how these terms are used in everyday practices. Her book is filled with current examples and analyses from a wealth of social institutions: health care, education, criminal justice, and government at all levels. The questions she raises for society and public policy are endless. Yanow maintains that these issues must be addressed explicitly, publicly, and nationally if we are to make our policy and administrative institutions operate more effectively.
Research design is fundamental to all scientific endeavors, at all levels and in all institutional settings. In many social science disciplines, however, scholars working in an interpretive-qualitative tradition get little guidance on this aspect of research from the positivist-centered training they receive. This book is an authoritative examination of the concepts and processes underlying the design of an interpretive research project. Such an approach to design starts with the recognition that researchers are inevitably embedded in the intersubjective social processes of the worlds they study. In focusing on researchers’ theoretical, ontological, epistemological, and methods choices in designing research projects, Schwartz-Shea and Yanow set the stage for other volumes in the Routledge Series on Interpretive Methods. They also engage some very practical issues, such as ethics reviews and the structure of research proposals. This concise guide explores where research questions come from, criteria for evaluating research designs, how interpretive researchers engage with "world-making," context, systematicity and flexibility, reflexivity and positionality, and such contemporary issues as data archiving and the researcher’s body in the field.
What do we mean in the U.S. today when we use the terms "race" and "ethnicity"? What do we mean, and what do we understand, when we use the five standard race-ethnic categories: White, Black, Asian, Native American, and Hispanic? Most federal and state data collection agencies use these terms without explicit attention, and thereby create categories of American ethnicity for political purposes. Davora Yanow argues that "race" and "ethnicity" are socially constructed concepts, not objective, scientifically-grounded variables, and do not accurately represent the real world. She joins the growing critique of the unreflective use of "race" and "ethnicity" in American policymaking through an exploration of how these terms are used in everyday practices. Her book is filled with current examples and analyses from a wealth of social institutions: health care, education, criminal justice, and government at all levels. The questions she raises for society and public policy are endless. Yanow maintains that these issues must be addressed explicitly, publicly, and nationally if we are to make our policy and administrative institutions operate more effectively.
Exceptionally clear and well-written chapters provide engaging discussions of the methods of accessing, generating, and analyzing social science data, using methods ranging from reflexive historical analysis to critical ethnography. Reflecting on their own research experiences, the contributors offer an inside, applied perspective on how research topics, evidence, and methods intertwine to produce knowledge in the social sciences.
This is a guide to interpretative techniques and methods for policy research. The author describes what interpretative approaches are and what they can mean to policy analysis, and then shifts the frame of reference from thinking about values as costs and benefits to thinking about them more as a set of meanings.
Exceptionally clear and well-written chapters provide engaging discussions of the methods of accessing, generating, and analyzing social science data, using methods ranging from reflexive historical analysis to critical ethnography. Reflecting on their own research experiences, the contributors offer an inside, applied perspective on how research topics, evidence, and methods intertwine to produce knowledge in the social sciences.
This book offers a new, interpretive way of understanding organizations and policy by analyzing how they convey meaning through symbolic language, objects, and acts. Dvora Yanow argues that contested facts in policy often reflect different policy meanings, which are often expressed tacitly through the symbols use by an implementing organization. Yanow's interpretation of the policy process extends beyond the field of public policy to examine the way organizations establish identity and an image for themselves, the public, and the world. Her analysis will be of value to those involved in political science, public administration, and organizational studies.
Research design is fundamentally central to all scientific endeavors, at all levels and in all institutional settings. This book is a practical, short, simple, and authoritative examination of the concepts and issues in interpretive research design, looking across this approach's methods of generating and analyzing data. It is meant to set the stage for the more "how-to" volumes that will come later in the Routledge Series on Interpretive Methods, which will look at specific methods and the designs that they require. It will, however, engage some very practical issues, such as ethical considerations and the structure of research proposals. Interpretive research design requires a high degree of flexibility, where the researcher is more likely to think of "hunches" to follow than formal hypotheses to test. Yanow and Schwartz-Shea address what research design is and why it is important, what interpretive research is and how it differs from quantitative and qualitative research in the positivist traditions, how to design interpretive research, and the sections of a research proposal and report"--
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