Madhu Viswanathan
Measurement Error and Research Design
Madhu Viswanathan
Measurement Error and Research Design
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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. An author maintained website, http://www.business.uiuc.edu/~madhuv/msmt.html features datasets and suggestions for using the book in courses.
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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. An author maintained website, http://www.business.uiuc.edu/~madhuv/msmt.html features datasets and suggestions for using the book in courses.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Sage Publications, Inc
- Seitenzahl: 458
- Erscheinungstermin: 10. Februar 2005
- Englisch
- Abmessung: 229mm x 152mm x 25mm
- Gewicht: 658g
- ISBN-13: 9781412906425
- ISBN-10: 1412906423
- Artikelnr.: 22140389
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
- Verlag: Sage Publications, Inc
- Seitenzahl: 458
- Erscheinungstermin: 10. Februar 2005
- Englisch
- Abmessung: 229mm x 152mm x 25mm
- Gewicht: 658g
- ISBN-13: 9781412906425
- ISBN-10: 1412906423
- Artikelnr.: 22140389
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
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.
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
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
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
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