Test-Retest Correlations and the Reliability of Copy Testing (Classic Reprint) - Hardcover

Alvin J. Silk

Hardcover

ISBN 10: 0656403195 ISBN 13: 9780656403196

Publisher: Forgotten Books, 2022

Synopsis

Explore how test-retest data can reveal what reliability really means in copy testing, not just what the numbers look like.

This book analyzes how reliability is defined in psychometrics and how it applies to copy testing procedures. It explains how observed scores relate to true scores, and why the correlation between test and retest can reflect more than random error alone. The discussion highlights what happens when test and retest conditions drift from ideal parallel measurements and how such shifts can distort conclusions about reliability.

Readers will gain a practical view of the measurement model behind copy testing, including how to interpret correlations, variances, and covariances. The text also considers real-world data issues, such as changes in true scores over time and the impact of non-equivalent testing conditions on reliability estimates.

• How true score variance and error variance combine to form reliability
• What a test-retest correlation can and cannot tell you about consistency
• How shifts in true scores affect interpretation under different scenarios
• Why full ANOVA-style results can be more informative than a single correlation

Ideal for readers of marketing research, advertising testing, and psychometrics seeking a grounded, practical view of reliability.

Edition details

• Publisher: Forgotten Books
• Publication date: 2022
• Language: English
• ISBN 10: 0656403195
• ISBN 13: 9780656403196
• Binding: Hardcover
• Number of pages: 72