Scale Development

Scale Development

Author: Robert F. DeVellis

Publisher: SAGE Publications

Published: 2016-03-30

Total Pages: 160

ISBN-13: 1506341586

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In the Fourth Edition of Scale Development, Robert F. DeVellis demystifies measurement by emphasizing a logical rather than strictly mathematical understanding of concepts. The text supports readers in comprehending newer approaches to measurement, comparing them to classical approaches, and grasping more clearly the relative merits of each. This edition addresses new topics pertinent to modern measurement approaches and includes additional exercises and topics for class discussion. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.


Summated Rating Scale Construction

Summated Rating Scale Construction

Author: Paul E. Spector

Publisher: SAGE

Published: 1992

Total Pages: 84

ISBN-13: 9780803943414

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Intended for the social scientist who must develop a rating on attitudes, values and opinions, this text provides information on the construction of more effective scales. It includes information on how to validate a scale and how to develop a summated rating scale based on classical test theory.


Scaling Procedures

Scaling Procedures

Author: Richard G. Netemeyer

Publisher: SAGE

Published: 2003-03-12

Total Pages: 225

ISBN-13: 0761920277

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Effective measurement is a cornerstone of scientific research. Yet many social science researchers lack the tools to develop appropriate assessment instruments for the measurement of latent social-psychological constructs. Scaling Procedures for Self-Report Measures in the Social Sciences examines the issues involved in developing and validating multi-item self-report scales of latent constructs. Distinguished researchers and award-winning educators Richard G Netemeyer, William O Bearden, and Subhash Sharma present a four-step approach for multi-indicator scale development. With these steps, the authors include relevant empirical examples and a review of the concepts of dimensionality, reliability, and validity. Scaling Procedures: Issues and Applications supplies cutting-edge strategies for developing and refining measures. Providing concise chapter introductions and summaries, as well as numerous tables, figures, and exhibits, the authors present recommended steps and overlapping activities in a logical, sequential progression. Designed for graduate students in measurement/psychometrics, structural equation modeling, and survey research seminars across the social science discipli


Ordinal Measurement in the Behavioral Sciences

Ordinal Measurement in the Behavioral Sciences

Author: Norman Cliff

Publisher: Psychology Press

Published: 2003-01-30

Total Pages: 246

ISBN-13: 1135691681

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This book provides an alternative method for measuring individual differences in psychological, educational, and other behavioral sciences studies. It is based on the assumptions of ordinal statistics as explained in Norman Cliff's 1996 Ordinal Methods for Behavioral Data Analysis. It provides the necessary background on ordinal measurement to permit its use to assess psychological and psychophysical tests and scales and interpret the data obtained. The authors believe that some of the behavioral measurement models used today do not fit the data or are inherently self-contradictory. Applications of these models can therefore lead to unwarranted inferences regarding the status of the derived variables. These methods can also be difficult to apply, particularly in small-sample contexts without making additional, unrealistic assumptions. Ordinal methods more closely reflect the original data, are simple to apply, and can be used in samples of any size. The book's approach is in essence a return to simple empiricism in psychological measurement. Ordinal Measurement in the Behavioral Sciences provides: *methods for analyzing test responses; *extensive discussions of ordinal approaches to analyzing data that are judgments of stimuli; *methods for treating psychological data in ways consistent with its ordinal nature so as to stimulate new developments in this area; and *ordinal test theory and the unfolding methods that are applicable to cross-cultural studies. Advanced students, researchers, and practitioners concerned with psychological measurement should find this book relevant. Measurement professionals will find it provides useful and simple methods that stimulate thought about measurement's real issues.


New Developments in Psychometrics

New Developments in Psychometrics

Author: Haruo Yanai

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 704

ISBN-13: 4431669965

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At the International Meeting of the Psychometric Society in Osaka, Japan, more than 300 participants from 19 countries gathered to discuss recent developments in the theory and application of psychometrics. This volume of proceedings includes papers on methods of psychometrics such as the structural equation model and item response theory. The book is in eight major sections: keynote speeches and invited lectures; structural equation modeling and factor analysis; IRT and adaptive testing; multivariate statistical methods; scaling; classification methods; and independent and principal component analysis. The 80 papers collected here provide a valuable source of information for all who are concerned with psychometrics, mathematical and statistical applications, and data analysis in psychological and behavioral sciences.


Clinical Research in Complementary Therapies

Clinical Research in Complementary Therapies

Author: George Thomas Lewith

Publisher: Elsevier Health Sciences

Published: 2010-11-23

Total Pages: 429

ISBN-13: 0702049166

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The use of complementary therapies is exploding, increasing the pressure to establish a rigorous science to support its practice. Clinical Research in Complementary Therapies: Principles, Problems and Solutions provides students with the tools they need to research complementary and integrative medicine (CIM) and so fill this gap. Essential for both undergraduate and postgraduate students, this second edition is significantly updated and enhanced. Part 1 deals with research strategies and methods, explaining the major types of clinical research in CIM and how these inter-relate. New chapters are included on whole systems research, qualitative research and questionnaire development. Not all therapies can be treated the same way nor channeled through the signal process of randomized controlled trials. Therefore, detailed description of mixed methods approaches including observational, qualitative, cost-benefit and comparative effectiveness research are described. Part 2 deals with specific complementary therapies and how they are invested by experts in each field. The book analyses the key questions asked and the controversies debated in complementary medicine research and offers clear and innovative guidance for answering these questions. FEATURES • Provides an overarching synthesis of methods in CIM and how they are to be used collectively including the role of comparative effectiveness research• Suggests both general and specific factors which need to be considered in assessing or planning complementary therapy research • Pinpoints aspects of research which are different in orthodox research and complementary therapy research • Reviews the types of research carried out in specific complementary therapies and analyses issues which arise • Includes information on measuring the economic cost and benefits of complementary medicine, clinical audit and the role of placebos use • Builds upon recent research results, looks at the lessons these provide for all complementary therapies and suggests key issues to address in future research. • Provides an overarching synthesis of methods in CIM and how they are to be used collectively including the role of comparative effectiveness research• Suggests both general and specific factors which need to be considered in assessing or planning complementary therapy research • Pinpoints aspects of research which are different in orthodox research and complementary therapy research • Reviews the types of research carried out in specific complementary therapies and analyses issues which arise • Includes information on measuring the economic cost and benefits of complementary medicine, clinical audit and the role of placebos use • Builds upon recent research results, looks at the lessons these provide for all complementary therapies and suggests key issues to address in future research.


Recent Progress in Mathematical Psychology

Recent Progress in Mathematical Psychology

Author: Cornelia E. Dowling

Publisher: Psychology Press

Published: 2014-03-05

Total Pages: 359

ISBN-13: 1317779320

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Mathematical psychology is an interdisciplinary area of research in which methods of mathematics, operations research, and computer science in psychology are used. Now more than thirty years old, the field has continued to grow rapidly and has taken on a life of its own. This volume summarizes recent progress in mathematical psychology as seen by some of the leading figures in the field as well as some of its leading young researchers. The papers presented in this volume reflect the most important current directions of research in mathematical psychology. They cover topics in measurement, decision and choice, psychophysics and psychometrics, knowledge representation, neural nets and learning models, and cognitive modeling. Some of the major ideas included are new applications of concepts of measurement theory to social phenomena, new directions in the theory of probabilistic choice, surprising results in nonlinear utility theory, applications of boolean methods in the theory of knowledge spaces, applications of neural net ideas to concept learning, developments in the theory of parallel processing models of response time, new results in inhibition theory, and new concepts about paired associate learning.