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Reliability and Validity Assessment (Quantitative Applications in the Social Sciences)by: Edward G. Carmines, Richard A. Zelleren 0803913710 9780803913714 9780585212272 |
Reliability and Validity Assessment (Quantitative Applications in the Social Sciences)
By Edward G. Carmines, Richard A. Zeller
- Publisher: Sage Publications, Inc
- Number Of Pages: 72
- Publication Date: 1979-11-01
- ISBN-10 / ASIN: 0803913710
- ISBN-13 / EAN: 9780803913714
- Binding: Paperback
Product Description:
This guide demonstrates how social scientists assess the reliability and validity of empirical measurements. This monograph is a good starting point for those who want to familiarize themselves with the current debates over "appropriate" measurement designs and strategies.
Contents:
Editor's introduction --
1. Introduction. Definition of measurement -- Reliability and validity defined -- Random and nonrandom measurements error --
2. Validity. Criterion-related validity -- Content validity -- Construct validity --
3. Classical test theory. Reliability of measurements -- Parallel measurements --
4. Assessing reliability. Retest method -- Alternative-form method -- Split-halves method -- Internal consistency method -- Correction for attenuation -- Conclusion -- Notes -- References -- Appendix. The place factor analysis in reliability and validity assessment -- Factor analysis and reliability estimation -- Factor analysis and construct validity -- Conclusion -- About the authors.
Summary: A must read for scale development
Rating: 5
This is a must read for those laymen who would like to get started with developing their own measurement scales. Where many references in scale development drop a chapter in scale reliability and validity testing, they are far from comprehensive. Here is a monograph that discusses this critical issue in detail. It is written in a easily understood manner, with good balance between theories and applications. The use of factor analytic techniques (exploratory) for testing scale validity though assumes readers a prerequisite understand of this multivariate technique.

