Skip to main content
Congeneric modeling of reliability using censored variables
Brown, R. L. (1989)

Congeneric modeling of reliability using censored variables


Issue Date


This paper explores the use of Jöreskog’s (1970) congeneric modeling approach to reliability using censored quantitative variables, and discusses the compound problem of non-normality and attenuation that occurs when estimating censored continuous variables. Two monte carlo studies were conducted. The first study demonstrated the inappropriateness of using normal theory generalized least-squares (NTGLS) for estimating reliability on censored variables. The second study compared three different estimation procedures- NTGLS, asymptotically distribution free (ADF) estimators, and latent TOBIT estimators-as to their efficiency in estimating individual and composite reliability on censored variables. Results from the studies indicate that problems of non-normality and attenuation must be addressed before accurate reliability estimates may be obtained. Index terms: censored variables, congeneric model, covariance modeling, monte carlo study, reliability, TOBIT correlations.

Appears in Collection(s)

Other Identifier(s)
other: doi:10.1177/014662168901300205

Suggested Citation
Brown, R. L.. (1989). Congeneric modeling of reliability using censored variables. Retrieved from the University of Minnesota Digital Conservancy,

Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.