Measurement Theory and Applications for the Social Sciences
Measurement Theory and Applications for the Social Sciences

Author: Deborah L. Bandalos

Publisher: Guilford Publications

Published: 2018-01-31

Total Pages: 686

ISBN-13: 1462532136

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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
Measurement for the Social Sciences

Author: John R. Rossiter

Publisher: Springer Science & Business Media

Published: 2010-11-25

Total Pages: 174

ISBN-13: 1441971580

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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.

Handbook of Tests and Measurement in Education and the Social Sciences
Handbook of Tests and Measurement in Education and the Social Sciences

Author: Paula E. Lester

Publisher: Scarecrow Press

Published: 2000

Total Pages: 408

ISBN-13: 9780810838635

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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.

Biophysical Measurement in Experimental Social Science Research
Biophysical Measurement in Experimental Social Science Research

Author: Gigi Foster

Publisher: Academic Press

Published: 2019-02-08

Total Pages: 362

ISBN-13: 0128130938

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Biophysical Measurement in Experimental Social Science Research is an ideal primer for the experimental social scientist wishing to update their knowledge and skillset in the area of laboratory-based biophysical measurement. Many behavioral laboratories across the globe have acquired increasingly sophisticated biophysical measurement equipment, sometimes for particular research projects or for financial or institutional reasons. Yet the expertise required to use this technology and integrate the measures it can generate on human subjects into successful social science research endeavors is often scarce and concentrated amongst a small minority of researchers. This book aims to open the door to wider and more productive use of biophysical measurement in laboratory-based experimental social science research. Suitable for doctoral students through to established researchers, the volume presents examples of the successful integration of biophysical measures into analyses of human behavior, discussions of the academic and practical limitations of laboratory-based biophysical measurement, and hands-on guidance about how different biophysical measurement devices are used. A foreword and concluding chapters comprehensively synthesize and compare biophysical measurement options, address academic, ethical and practical matters, and address the broader historical and scientific context. Research chapters demonstrate the academic potential of biophysical measurement ranging fully across galvanic skin response, heart rate monitoring, eye tracking and direct neurological measurements. An extended Appendix showcases specific examples of device adoption in experimental social science lab settings. - Demonstrates the strengths and limitations of different tools, in terms of both research objectives and practicality - Provides hands-on guidance for device usage and data integration and assessment - Compares and contrasts the use of different biophysical data options for different research objectives and in different disciplines

Measurement in the Social Sciences
Measurement in the Social Sciences

Author: Richard A. Zeller

Publisher: Cambridge University Press

Published: 1980-04-30

Total Pages: 212

ISBN-13: 9780521222433

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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.

Diagnostic Measurement
Diagnostic Measurement

Author: Andr? A. Rupp

Publisher: Guilford Press

Published: 2010-04-09

Total Pages: 369

ISBN-13: 1606235281

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This book provides a comprehensive introduction to the theory and practice of diagnostic classification models (DCMs), which are useful for statistically driven diagnostic decision making. DCMs can be employed in a wide range of disciplines, including educational assessment and clinical psychology. For the first time in a single volume, the authors present the key conceptual underpinnings and methodological foundations for applying these models in practice. Specifically, they discuss a unified approach to DCMs, the mathematical structure of DCMs and their relationship to other latent variable models, and the implementation and estimation of DCMs using Mplus. The book's highly accessible language, real-world applications, numerous examples, and clearly annotated equations will encourage professionals and students to explore the utility and statistical properties of DCMs in their own projects. This book will appeal to professionals in the testing industry; professors and students in educational, school, clinical, and cognitive psychology. It will also serve as a useful text in doctoral-level courses in diagnostic testing, cognitive diagnostic assessment, test validity, diagnostic assessment, advanced educational measurement, psychometrics, and item response theory

Social Support Measurement and Intervention
Social Support Measurement and Intervention

Author: Sheldon Cohen

Publisher: Oxford University Press

Published: 2000-10-19

Total Pages: 374

ISBN-13: 9780198029229

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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.

Doing Quantitative Research in the Social Sciences
Doing Quantitative Research in the Social Sciences

Author: Thomas R Black

Publisher: SAGE

Published: 1999-03-30

Total Pages: 907

ISBN-13: 1446223639

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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.