Measurement Error and Research Design

ISBN-10: 1412906423
ISBN-13: 9781412906425
Edition: 2005
List price: $99.00
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Description: Most books on measurement present a statistical orientation or an orientation toward measurement theory. Although these approaches are valuable, Measurement Error and Research Design is motivated by the lack of literature that enhances  More...

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Book details

List price: $99.00
Copyright year: 2005
Publisher: SAGE Publications, Incorporated
Publication date: 2/10/2005
Binding: Paperback
Pages: 456
Size: 6.00" wide x 9.00" long x 1.00" tall
Weight: 1.342

Most books on measurement present a statistical orientation or an orientation toward measurement theory. Although these approaches are valuable, Measurement Error and Research Design is motivated by the lack of literature that enhances understanding of measurement error, its sources, and its effects on responses. This books purpose is to enhance the design of research, both of measures and of methods. Author Madhu Viswanathans work is organized around the meaning of measurement error. It begins with a brief overview of measurement principles supplemented with many examples to provide necessary background to the reader. It analyzes the various causes of different types of measurement error, the nature of responses that would characterize each type of error, and the pattern of empirical outcomes that would be observed. This approach provides guidance in developing and editing items and measures and in designing methods before the fact. It is also perfect for using empirical results to redesign items, measures, and methods. Measurement is treated at a nuts-and-bolts level with concrete examples or errors and empirical procedures. Measurement Error and Research Design is an ideal text for research methods courses across the social sciences, especially those in which a primer on measurement is needed. For the novice researcher, this book facilitates understanding of the basic principles of measurement required to design measures and methods for empirical research. For the experienced researcher, this book provides an in-depth analysis and discussion of the essence of measurement error and the procedures to minimize it. Most importantly, the books unique approach bridges measurement and methodology through clear illustrations of the intangibles of scientific research. Madhu Viswanathan has developed a companion website for the book, including datasets and output files. This can be accessed at: http://www.business.uiuc.edu/~madhuv/msmt.html . Dr. Viswanathan has made an important contribution to the array of books available on measurement. In his book, he calls the readers attention to types of errors encountered in measurement, how they are made, and most importantly, how researchers can go about identifying and eliminating them. If you are doing research, whether you are developing measures or using already developed measures, the information in this book will help you to understand how to investigate the limitations of the measures you work with. Dennis L. Jackson, University of Windsor, Ontario, Canada This book provides a useful systematic introduction to an important and neglected area, that of measurement error in the social sciences. It will prove valuable both to students studying this topic in courses, and to Ph.D. students and researchers starting to carry out social research under their own steam. Dougal Hutchison, National Foundation for Educational Research

Madhu Viswanathan is an Associate Professor of Marketing in the Department of Business Administration within the College of Business at the University of Illinois, Urbana-Champaign, Illinois, where he has been on the faculty since 1990. He holds a Ph.D. in Business Administration (Marketing) from the University of Minnesota, and a Bachelor of Technology in Mechanical Engineering from the Indian Institute of Technology, Madras.He teaches a course on measurement and research methods to Ph.D.. students and marketing research to undergraduate and MBA students. He has been listed several times as an excellent instructor at the University of Illinois.His research has appeared in journals, including the Journal of Applied Psychology, the Journal of Consumer Psychology, the Journal of Marketing Research, Personality and Social Psychology Bulletin, and Computer, Speech, and Language. His research is in two areas: measurement and research methodology and low-literate buyer and seller behavior. His work on literacy has been supported by grants from the National Science Foundation, and the Illinois Center for International Business Education and Research.He serves on the editorial boards of the Journal of Consumer Psychology, the Journal of Consumer Research, and Psychology and Marketing. He has served as the Secretary-Treasurer for the Society for Consumer Psychology and as the Chair of the Consumer Behavior Special Interest Group of the American Marketing Association. He also chaired national conferences for the American Marketing Association and the Society for Consumer Psychology.He directs the Marketplace Literacy Project (www.marketplaceliteracy.org), a nonprofit organization which aims to disseminate knowledge about low-literate buyer and seller behavior. Its activities include the development and distribution of educational materials for adult education, nutrition, and other programs targeted at low-literate consumers in the US, and development and provision of business and consumer literacy training for low-literate, low-income adults in India and other similar contexts.He lives in Champaign, Illinois, with his wife and 10-year old son.

Foreword
Preface
Acknowledgments
What Is Measurement?
Overview
What Is Measurement Error?
Overview of Traditional Measure Development Procedures
Conceptual and Operational Definitions
Domain Delineation
Measure Design and Item Generation
Internal Consistency Reliability
Test-Retest Reliability
Dimensionality Exploratory Factor Analysis
Dimensionality Confirmatory Factor Analysis Structural Equation Modeling
Validity
General Issues in Measurement
Summary
Appendices
What Is Measurement Error?
Overview
Random Error
Systematic Error
Types of Random and Systematic Error
Illustrations of Measurement Error Through Error Patterns
Patterns of Responses in Measurement Error
Summary
Appendix
What Causes Measurement Error?
Overview
Sources of Measurement Error
Taxonomy of Error Sources
Summary
Can Empirical Procedures Pinpoint Types Of Measurement Error?
Overview
Internal Consistency Reliability Procedures
Test-Retest Reliability Procedures
Factor Analysis Procedures
Validity Tests
Summary
How Can Measurement Error Be Identified And Corrected For In Measure Development?
Overview
Guidelines for Identifying and Correcting For Error in Measure Development
Generic Issues in Designing Psychometric Tests
Item-to-Total Correlations (Internal Consistency Procedures)
Item Means
Test-Retest Correlations (Test-Retest Reliability)
Factor Loadings (Exploratory Factor Analysis)
Residuals (Confirmatory Factor Analysis)
Cross-Construct Correlations (Validity Tests)
Conditions of Future Use of Measures
Discussion
Summary
How Can Error Be Identified Through Innovative Design And Analyses?
Overview
Using Internal Consistency and Test-Retest Reliability in Conjunction
Using Correlations Across Item-Level Correlations
Empirical Assessment of Item-Sequencing Effects
Summary
How Do Measures Differ?
Overview
Stimulus-Centered Versus Respondent-Centered Scales
Formative and Reflective Indicators of Constructs
Summary
What Are Examples Of Measures And Measurement Across Various Disciplines?
Overview
Types of Measures
Types of Response Formats
Specific Examples of Scales From Different Disciplines
Cross-Cultural Measurement
Summary
What Are The Implications Of Understanding Measurement Error For Research Design And Analysis?
Overview
Implications for Using Measures in Research Design
Implications for Using Structural Equation Modeling
Implications for Applied Research
Summary
How Does Measurement Error Affect Research Design?
Overview
Types of Research Designs
Measurement Error in Survey Designs
Measurement Error in Experimental Designs
Research Design and Measurement Error
Summary
Appendices
What Is The Role Of Measurement In Science?
Overview
Assumptions of Measurement
Qualitative Versus Quantitative Research
Measuring the "Measurable"
From Physical to Psychological Measurement
Informal Measurement
Ethics in Measurement
Summary
What Are The Key Principles And Guiding Orientations Of This Book?
Overview
Summary of Chapters
Implications for Measurement and Research Design
Summary of Orientations
References
Index
About the Author

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