| Multiple Indicators: An Introduction Contributor(s): Sullivan, John L. (Author), Feldman, Stanley (Author) |
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ISBN: 0803913699 ISBN-13: 9780803913691 Publisher: Sage Publications, Inc OUR PRICE: $39.90 Product Type: Paperback - Other Formats Published: November 1979 Annotation: A presentation and critique of the use of multiple measures of theoretical concepts to assess both validity, using the multirait-multimethod matrix, and reliablity, using multiple indicators with a path analytic framework. |
| Additional Information |
| BISAC Categories: - Social Science | Methodology - Social Science | Research |
| Dewey: 300.151 |
| LCCN: 79067015 |
| Series: Quantitative Applications in the Social Sciences |
| Physical Information: 0.2" H x 6" W x 7.98" (0.23 lbs) 88 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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). |
Contributor Bio(s): Sullivan, John L.: - 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.Feldman, Stanley: - 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. |