Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 278

The DOI matches its Crossref record.

Measurement Error and Research Design

Viswanathan, Madhu·2005·Sage eBooks

Abstract

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

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.4135/9781412984935

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 278

Metadata

Authors
Viswanathan, M.
Venue
Sage eBooks
Published
2005
OpenAlex
W255779026
Cited by
278
References
0
FWCI
2.31
Type
book
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Measurement Error and Research Design. https://app.cochat.ai/papers/10.4135/9781412984935
The paper
Viswanathan, M. (2005). Measurement Error and Research Design. Sage eBooks. https://doi.org/10.4135/9781412984935

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.