"A richly erudite history of measurement and an account of its current state in the social sciences—fascinating, informative, provocative." —James S. Coleman, Unversity of Chicago "Wise and powerful." — American Journal of Sociology "Personal and provocative—an excellent set of historical and critical ruminations from one of social measurement's greatest contributors." —Choice
How do academic social scientists and survey professionals use social measurement techniques? How are these techniques applied to specific concepts in empirical research? This book is an important resource for students, academic and professional researchers, offering an overview of both new and practiced methods of social measurement for quantitative survey research. It will provide readers looking to investigate "hot" social science topics with a way of learning how key measurement techniques can be utilised in that topic in a practical way. Emerging from the editors' widely used work on an online social survey resource offering information on key social surveys and their questionnaires entitled ’Question Bank’, this book aims to take this material further. It elaborates on the problems involved with this resource type, providing a comprehensive and unique volume that will enable the reader to have the confidence to use this technique in their own research.
Among the frustrations constantly confronting the social scientist are those associated with the general process of measurement. The importance of good measurement has long been recognized in principle, but it has often been neglected in practice in many of the social sciences. Now that the methodological tools of multivariate analysis, simultaneous-equation estimation, and causal modeling are diffused more widely into the social sciences, and now that the very serious implications of random and non-random measurement errors are being systematically investigated, it is all the more important that social scientists give top priority to the quality of their data and the clarity of their theoretical conceptualizations, as well as to methods for analyzing fallible data. This book deals with selected problems of measurement and is written for graduate students and professional social scientists, particularly in the technically less developed fields of sociology, political science and anthropology. The book is organized so that, in general, one proceeds from problems of data collection to those of data analysis. It is not intended to be a complete work covering all types of measurement problems that have arisen in the social sciences. Instead, it represents a series of studies of topics that are deemed to be crucial for the advancement of social science research but which have not received sufficient attention in most of the social sciences. The basic purpose is to stimulate further methodological research on measurement and to study the ways in which knowledge that has been accumulated in some fields may be generalized so that it may be applied to others. The book is divided into three major parts. Part I is concerned with applying scaling approaches developed in psychometrics to problems that arise in other social sciences. The focus is on finding better ways to ask questions of respondents so as to raise the level of measurement above that of simple ordinal scales. Part II focuses on multiple-indicator theory and strategies as applied to relatively complex models and to change data. In this section the emphasis shifts to how one analyzes fallible data through the construction of explicit measurement-error models. Part III deals with the statistical analysis of ordinal data, including the interpretation and empirical behaviors of various ordinal measures of association. The final chapter (written by the editor) discusses how ordered-metric assumptions may be used to make more powerful predictions than those characterizing much of contemporary social science. H.M. Blalock, Jr. (1926-1991) was Professor, Department of Sociology, the University of Washington, Seattle. He was recipient of the 1973 ASA Samuel Stouffer Prize, and was a Fellow of the American Statistical Association and the American Academy of Arts and Sciences, and is a member of the National Academy of Sciences. He was the 70th president of the American Sociological Association.
Social scientists seek to develop systematic ways to understand how people make meaning and how the meanings they make shape them and the world in which they live. But how do we measure such processes? Measuring Culture is an essential point of entry for both those new to the field and those who are deeply immersed in the measurement of meaning. Written collectively by a team of leading qualitative and quantitative sociologists of culture, the book considers three common subjects of measurement—people, objects, and relationships—and then discusses how to pivot effectively between subjects and methods. Measuring Culture takes the reader on a tour of the state of the art in measuring meaning, from discussions of neuroscience to computational social science. It provides both the definitive introduction to the sociological literature on culture as well as a critical set of case studies for methods courses across the social sciences.
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
This essential work in social measurement includes: arguments as to why qualitative approaches belong with quantitative ones; a debate with deconstructionists and social constructionists on measurement validity, and an expansion and further explanation of the multitrait-multimethod matrix.
Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability evidence? Using clear explanations illustrated by examples from across the social and behavioral sciences, this engaging text prepares students to make effective decisions about the selection, administration, scoring, interpretation, and development of measurement instruments. Coverage includes the essential measurement topics of scale development, item writing and analysis, and reliability and validity, as well as more advanced topics such as exploratory and confirmatory factor analysis, item response theory, diagnostic classification models, test bias and fairness, standard setting, and equating. End-of-chapter exercises (with answers) emphasize both computations and conceptual understanding to encourage readers to think critically about the material. ÿ
"If a student researcher had only one handbook on their bookshelf, Miller and Salkind′s Handbook would certainly have to be it. With the updated material, the addition of the section on ethical issues (which is so well done that I′m recommending it to the departmental representative to the university IRB), and a new Part 4 on "Qualitative Methods", the new Handbook is an indispensable resource for researchers." --Dan Cover, Department of Sociology, Furman University " I have observed that most instructors want to teach methodology "their way" to imbue the course with their own approach; Miller-Salkind allows one to do this easily. The book is both conceptually strong (e.g., very good coverage of epistemology, research design and statistics) and at the same time provides a wealth of practical knowledge (scales, indices, professional organizations, computer applications, etc.) In addition, it covers the waterfront of methodology." --Michael L. Vasu, Director of Information Technology, North Carolina State University "A unique and excellent reference tool for all social science researchers, and a good textbook for graduate students and senior year undergraduate classes. These students are about to enter the real life of research, and need a handy and comprehensive tool as a starting point that offers shortcuts for getting into real research projects. For a small project, the book offers enough information to get the project started. For big projects, the book is ideal for information on where to look for things and examples." --Jianhong Liu, Department of Sociology, Rhode Island College The book considered a "necessity" by many social science researchers and their students has been revised and updated while retaining the features that made it so useful. The emphasis in this new edition is on the tools graduate students and more advanced researchers need to conduct high quality research. Features/Benefits: Provides step-by-step instruction for students′ research training by beginning with how to find a creative idea, a middle-range theory, and initial hypothesis and proceeds through design, proposal, collection and analysis of data followed by writing, reporting and publication Section on scales and indices are organized so that readers can quickly locate and find the type of scale or index in which they may be interested All sections are now followed by useful and well-considered reference sections so that readers can read more about each topic Includes updated coverage on new scales, internal and external validity, and new analytic techniques with extensive references on each Presents extensive coverage of how to prepare manuscripts for publication, including a list of all journals covered by Sociological Abstracts along with the editorial office address and URL for each entry Discusses the importance of policy research with presentation and discussion of specific models as an adjunct to both applied and basic research techniques Provides extensive coverage of funding opportunities including those offered by the National Institutes of Health, the National Science Foundation, and a directory of private funding sources including relevant contact information New to this edition: New Part 4 by John Creswell and Ray Maietta provides a comprehensive introduction to qualitative methods including a review of existing computer applications for collecting and analyzing data New and more current reviews and commentaries have replaced dated or no longer relevant excerpts Thousands of new references on the assessment of important sociological variables as well as references to such topics as statistical analysis, computer applications, and specific topics Thoroughly updated information on the use of computers and online research techniques, including beginning and intermediate material about the Internet and its use by the modern research scientist Coherent and thoughtful review of the most popular statistical analysis software packages New guidelines and discussion of ethical practices in social and behavioral science research, including extensive coverage of institutional review board procedures and activities Expansion of social indicators to include international coverage Plus, there is an extensive and well-organized table of contents with four levels of headings; and, for the first time in the history of the book, a comprehensive index.
Scale Development: Theory and Applications, by Robert F. DeVellis and new co-author Carolyn T. Thorpe, demystifies measurement by emphasizing a logical rather than strictly mathematical understanding of concepts. The Fifth Edition includes a new chapter that lays out the key concepts that distinguish indices from scales, contrasts various types of indices, suggests approaches for developing them, reviews validity and reliability issues, and discusses in broad terms some analytic approaches. All chapters have been updated, and the book strikes a balance between including relevant topics and highlighting recent developments in measurement while retaining an accessible, user-friendly approach to the material covered.
