Multiple Indicators / Edition 1

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Overview

A presentation and critique of the use of multiple measures of theoretical concepts for the assessment of validity (using the multi-trait multi-method matrix) and reliability (using multiple indicators with a path analytic framework).

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Product Details

Meet the Author

John L. Sullivan is Associate Professor of Media & Communication at Muhlenberg College in Allentown, PA. He earned his B.A. in German and Media Studies from Pomona College and his M.A. and Ph.D. in Communication from the Annenberg School for Communication at the University of Pennsylvania. Dr. Sullivan’s research explores the links between media industries and systems of social and economic power. More specifically, he focuses on audience constructions within media organizations, the implementation of U.S. media policies, and the political economy of cultural production. Recently, Dr. Sullivan has begun a longer-term project to study the political economy of free, open source software (F/OSS) movements.

Areas of Interest:
Political Behavior: political psychology and socialization; political ideology and values; prejudice and intolerance; public opinion; political participation; political sociology.
Methodology: statistics; econometrics; measurement theory and scaling; analysis of covariance structures; multivariate methods; survey research methods; logic of inquiry and research design.

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Table of Contents

Editor's Introduction 5
Preface 8
Introduction 9
Validity, Reliability, and Multiple Indicators 16
Campbell and Fiske's Multitrait-Multimethod Matrix 17
An Application of the Multitrait-Multimethod Matrix to Achievement Motivation 25
Costner's Multiple-Indicator Approach to Reliability Assessment 28
Extensions to More Concepts 35
Extensions to More Indicators 38
An Example Applying Costner's Procedures 40
Critique of Multitrait-Multimethod Matrix 47
Multiple-Indicator Models for Panel Data 56
Applications to Panel Data of Party Identification and Attitudes Toward Political Parties 66
Conclusions 70
Hypothesis Testing 70
Estimation 73
Multiple-Indicator Models: Some Final Considerations 75
Appendix A Some Basic Statistical Concepts 76
Populations and Samples 76
Parameters and Estimates 76
Bias and Efficiency 77
Identification 77
Appendix B The Wiley and Wiley Three-Wave, One-Indicator Model 79
Notes 82
References 84
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