Measurement Error and Research Design

Name: Measurement Error and Research Design
Price: 30.56 USD
Availability: InStock
ISBN: 9781412906425

ISBN-10: 1412906423

ISBN-13: 9781412906425

Edition: 2005

Authors: Madhu Viswanathan

List price: $151.00

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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 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

Book details

List price: $151.00
Copyright year: 2005
Publisher: SAGE Publications, Incorporated
Publication date: 2/10/2005
Binding: Paperback
Pages: 456
Size: 6.20" wide x 9.00" long x 1.00" tall
Weight: 1.298
Language: English

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,…



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