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Measurement Theory and Applications for the Social Sciences by Deborah L. Bandalos Pdf
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
Measurement for the Social Sciences by John R. Rossiter Pdf
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.
Doing Quantitative Research in the Social Sciences by Thomas R Black Pdf
This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to researc design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.
Biophysical Measurement in Experimental Social Science Research by Gigi Foster Pdf
Biophysical Measurement in Experimental Social Science Research: Theory and Practice demonstrates the use of biophysical measurement in laboratory-based experimental social science research and the ways biophysical measures can inform analyses of human behavior. Noting the practical limitations of laboratory-based biophysical measurement, its contributors provide hands-on guidance about biophysical measurement devices. Its Introductory and concluding chapters address ethics, measurement options, and historical and scientific contexts. Highlighting examples of device adoption in experimental social science lab settings, this book makes these tools understandable and accessible to all. Demonstrates the strengths and limitations of tools in both research objectives and practicality Provides hands-on guidance for device usage and data implementation, integration and assessment Compares and contrasts the uses of biophysical data in research objectives and disciplines
Measurement in the Social Sciences by Richard A. Zeller,Edward G. Carmines Pdf
This textbook is designed to bridge the gap between the theorist and the methodologist by presenting an integrated approach to measurement. By differentiating between random and systematic error, it conveys both statistical techniques and their theoretical underpinnings essential to students of sociology and political science. Rather than developing new technical methods of new theoretical structures, Professors Zeller and Carmines provide thorough explanations of the assumptions, limitations and interpretations of previously established techniques and theories. Written at a level accessible to students of social science with some statistical training, the book does not presume a sophisticated mathematical background. By concentrating on synthesizing the methodological and theoretical realms, Zeller and Carmines demonstrate why measurement considerations are important to research and how measurement principles can be most effectively applied.
Handbook of Tests and Measurement in Education and the Social Sciences by Paula E. Lester,Lloyd K. Bishop Pdf
Are you a teacher or guidance counselor looking for an accessible reference guide? This revised edition of a popular 1993 anthology includes 120 tests and surveys, bringing together psychometric information about instruments developed to measure constructs in education and social sciences. Includes references to both published and unpublished instruments-scales, questionnaires, surveys, indices, and inventories-which otherwise would be painstakingly difficult for the researcher/teacher/counselor to locate.
Measurement in the Social Sciences by Hubert M. Blalock Pdf
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. The book is organized so that, 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 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. 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.
Social Support Measurement and Intervention by Sheldon Cohen,Lynn G. Underwood,Benjamin H. Gottlieb Pdf
Surgery and pharmaceuticals are not the only effective procedures we have to improve our health. The natural human tendency to care for fellow humans, to support them with social networks, has proven to be a powerful treatment as well. As a result, the areas of application for social support intervention have expanded dramatically during the past 20 years. As these areas have expanded, so too has the literature on the theory and measurement of social support. Yet, the literature has focussed on very particular areas. Investigators in the social sciences have mainly focused on the protection that social support confers in the context of stressful life events and transitions, whereas studies in the health sciences have concentrated on the effects of social networks and supports on population mortality and morbidity. Although no single theoretical framework has been widely accepted, there is consensus that both the psychological sense of support and actual expressions of support play critical roles in maintaining health and well being. This book is a state-of-the-art resource for the selection and development of strategies for social support assessment and intervention. Designed for use by behavioral and medical scientists conducting studies of physical illness, psychological adjustment, and psychiatric illness in human populations, this volume presents a broad conceptual framework addressing the role of social support in mental and physical health. The book is divided into four sections. The first provides some historical context as well as a conceptual overview of how social support might influence mental and physical health. The second discusses techniques for measuring social networks and support, and the third addresses the design of different types of support interventions. The final section presents some general comments on the volume and its implications for social support research and intervention. This resource is meant to aid researchers in understanding the conceptual criteria on which measurement and intervention decisions should be made when studying the relations between social support and health. Furthermore, the information provided on both measurement and intervention will be valuable to practitioners interested in designing and evaluating prevention and treatment initiatives. Sponsored by the Fetzer Institute as a follow up to their successful 1995 publication, Measuring Stress, this book will provide the most up to date research on the effects of social support interventions on physical and mental health.
Social Measurement by Donald T. Campbell,M. Jean Russo Pdf
This book provides researchers, evaluators, and graduate students with a user-friendly presentation of Campbell's essential work (including his latest thoughts on some of his classic works) in social measurement. The book includes Campbell's arguments as to why qualitative approaches belong with quantitative ones as the assumptive background to relevant quantitative measures, his debate with deconstructionists and social constructionists on measurement validity, and an expansion and further explanation of his multitrait-multimethod matrix. By including overviews for each part and article as well as provide social scientists with useful insights into Campbell's papers in a format accessible to advanced undergraduate and graduate students.
Rasch Models for Solving Measurement Problems by George Engelhard, Jr.,Jue Wang Pdf
This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Rasch measurement theory represents a paradigm shift in measurement theory away from classical test theory and creates a framework for scaling that can yield invariant measurement. Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences is a broadly accessible text. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques are demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale. The Rasch analyses in the book are run using the Facets computer program. Facets syntax, and R code for the ERMA program created by the authors to obtain parameter estimates and to examine model-data fit, together with sample data sets are all available on a website for the book.
Measurement in Social Psychology by Hart Blanton,LaCroix Jessica M.,Webster Gregory D. Pdf
Although best known for experimental methods, social psychology also has a strong tradition of measurement. This volume seeks to highlight this tradition by introducing readers to measurement strategies that help drive social psychological research and theory development. The books opens with an analysis of the measurement technique that dominates most of the social sciences, self-report. Chapter 1 presents a conceptual framework for interpreting the data generated from self-report, which it uses to provide practical advice on writing strong and structured self-report items. From there, attention is drawn to the many other innovative measurement and data-collection techniques that have helped expand the range of theories social psychologists test. Chapters 2 through 6 introduce techniques designed to measure the internal psychological states of individual respondents, with strategies that can stand alone or complement anything obtained via self-report. Included are chapters on implicit, elicitation, and diary approaches to collecting response data from participants, as well as neurological and psychobiological approaches to inferring underlying mechanisms. The remaining chapters introduce creative data-collection techniques, focusing particular attention on the rich forms of data humans often leave behind. Included are chapters on textual analysis, archival analysis, geocoding, and social media harvesting. The many methods covered in this book complement one another, such that the full volume provides researchers with a powerful toolset to help them better explore what is "social" about human behavior.
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.
Notes on Social Measurement by Otis Dudley Duncan Pdf
"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
