Measurement Error and Research Design

1. Auflage 2005
ISBN: 978-1-4129-0642-5
Verlag: Sage Publications, Inc

Buch, Englisch, 456 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 658 g

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 book's purpose is to enhance the design of research, both of measures and of methods.

Author Madhu Viswanathan's 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 book's unique approach bridges measurement and methodology through clear illustrations of the intangibles of scientific research.

An author maintained website, features datasets and suggestions for using the book in courses.

"Dr. Viswanathan has made an important contribution to the array of books available on measurement. In his book, he calls the reader's 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

Autoren/Hrsg.

Viswanathan, Madhu

Viswanathan, Madhubalan

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Demographie, Demoskopie
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

Inhaltsverzeichnis

Foreword - Richard Bagozzi
Preface
Acknowledgments
1. 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 and Structural Equation Modeling
Validity
General Issues in Measurement
Summary
Appendices
2. 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
3. WHAT CAUSES MEASUREMENT ERROR?
Overview
Sources of Measurement Error
Taxonomy of Error Sources
Summary
4. CAN EMPIRICAL PROCEDURES PINPOINT TYPES OF

MEASUREMENT ERROR?
Overview
Internal Consistency Reliability Procedures
Test-Retest Reliability Procedures
Factor Analysis Procedures
Validity Tests
Summary
5. 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
6. 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
7. HOW DO MEASURES DIFFER?
Overview
Stimulus-Centered Versus Respondent-Centered Scales
Formative and Reflective Indicators of Constructs
Summary
8. 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
9. 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
10. 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
11. 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
12. 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

Über Autor(innen)

Viswanathan, Madhubalan
Madhu Viswanathan earned Bachelor’s (Mechanical Engineering, IIT, Madras, India, 1985), and doctoral (Marketing, University of Minnesota, 1990) degrees. He joined Loyola Marymount University in August, 2019, after being on the faculty at the University of Illinois, Urbana-Champaign, for 29 years. His research programs are on measurement, and subsistence marketplaces, where he has authored several books including Measurement Error and Research Design (Sage, 2005), Enabling Consumer and Entrepreneurial Literacy in Subsistence Marketplaces (Springer, 2008), Subsistence Marketplaces (ebookpartnerships, 2013), and Bottom-Up Enterprise (ebookpartnerships, 2016). He has pioneered the area of subsistence marketplaces, with a bottom-up approach to the intersection of poverty and marketplaces (www.business.illinois.edu/subsistence). He taught courses on research methods, subsistence, and sustainability, educational experiences on the latter, reaching almost a thousand students a year at the University of Illinois, and tens of thousands of students around the world through Coursera. He founded and directs the Marketplace Literacy Project (www.marketplaceliteracy.org), pioneering the design and delivery of marketplace literacy education to subsistence marketplaces. With partners and ongoing programs in India, Tanzania, Uganda, Kenya, Argentina, Honduras, Mexico, and Illinois, approximately 100,000 women have received marketplace literacy education. He has received numerous awards and served on the Livelihoods Advisory Board of UNHCR.