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Evaluation of latent construct correlations in the presence of missing data: A note on a latent variable modelling approach
Article first published online: 13 APR 2011
DOI: 10.1348/000711010X498162
© 2010 The British Psychological Society
Issue
British Journal of Mathematical and Statistical Psychology
Volume 65, Issue 1, pages 19–31, February 2012
Additional Information
How to Cite
Raykov, T. (2012), Evaluation of latent construct correlations in the presence of missing data: A note on a latent variable modelling approach. British Journal of Mathematical and Statistical Psychology, 65: 19–31. doi: 10.1348/000711010X498162
Publication History
- Issue published online: 10 JAN 2012
- Article first published online: 13 APR 2011
- Received 25 October 2009; revised version received 19 February 2010
- Abstract
- Article
- References
- Cited By
A latent variable modelling approach is discussed, which can be used to evaluate indices of linear relationship between latent constructs in incomplete data sets. The method is based on an application of maximum-likelihood estimation and inclusion of covariates predictive of missing values. The approach can be employed for point and interval estimation of latent correlations in the presence of missing data, and capitalizes on enhanced plausibility of the assumption of data missing at random through introduction of informative covariates. The method is illustrated on empirical data.