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Applied Psychological Measurement >
Volume 13, 1989 >
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| Title: | Congeneric modeling of reliability using censored variables |
| Authors: | Brown, R. L. |
| Issue Date: | 1989 |
| Citation: | Brown, R. L. (1989). Congeneric modeling of reliability using censored variables. Applied Psychological Measurement, 13, 151-159. doi:10.1177/014662168901300205 |
| Abstract: | 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. |
| Permanent URL: | http://purl.umn.edu/107495 |
| Appears in Collections: | Volume 13, 1989
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| v13n2p151.pdf | | 942Kb | PDF | View/Open |
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