2044-8317/asset/olbannerleft.png?v=1&s=8856da07bc63124271bd41692effae1b4eb4d01b)
2044-8317/asset/olbannerright.png?v=1&s=0e71c188d8e53b18773ec432a90707d049af0643)
Scale validity evaluation with congeneric measures in hierarchical designs
Article first published online: 8 APR 2011
DOI: 10.1348/000711009X484286
©2010 The British Psychological Society
Issue
British Journal of Mathematical and Statistical Psychology
Volume 64, Issue 3, pages 427–438, November 2011
Additional Information
How to Cite
Raykov, T. (2011), Scale validity evaluation with congeneric measures in hierarchical designs. British Journal of Mathematical and Statistical Psychology, 64: 427–438. doi: 10.1348/000711009X484286
Publication History
- Issue published online: 4 OCT 2011
- Article first published online: 8 APR 2011
- Received 17 September 2009; revised version received 9 November 2009
- Abstract
- Article
- References
- Cited By
A procedure for validity estimation of multi-component measuring instruments in hierarchical designs is outlined. The method is developed within the framework of the popular latent variable modelling methodology. The approach is readily applicable for examining interrelationship indices between composite sum scores and criterion variables in two-level studies. The procedure is also useful for obtaining estimates and confidence intervals of criterion validity coefficients during the process of scale construction and development with hierarchical data. The method is illustrated with an empirical example.