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Reliability and Validity Assessment (Quantitative Applications in the Social Sciences)

Reliability and Validity Assessment (Quantitative Applications in the Social Sciences)

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Authors: Edward G. Carmines, Richard A. Zeller
Publisher: Sage Publications, Inc
Category: Book

List Price: $16.95
Buy New: $15.25
You Save: $1.70 (10%)



New (15) Used (5) from $14.75


Media: Paperback
Edition: 1
Number Of Items: 1
Pages: 72
Shipping Weight (lbs): 0.2
Dimensions (in): 8.2 x 5.3 x 0.2

ISBN: 0803913710
Dewey Decimal Number: 300.18
EAN: 9780803913714
ASIN: 0803913710

Publication Date: November 1, 1979
Availability: Usually ships in 24 hours

Similar Items:

  • Scale Development: Theory and Applications Second Edition (Applied Social Research Methods)
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  • Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social Sciences)
  • Summated Rating Scale Construction: An Introduction (Quantitative Applications in the Social Sciences)
  • Introduction to Survey Sampling (Quantitative Applications in the Social Sciences)

Editorial Reviews:

Product Description
pThis 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. /p


Customer Reviews:

5 out of 5 stars A must read for scale development   May 15, 2002
 16 out of 16 found this review helpful

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.

Copyright 2007 White Hat Communications.
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