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A new approach is proposed for data which are skewed and have a sizeable proportion of observation at variable end points. Using a covariance structure modelling framework, the new approach assumes censored multivariate normal variables. Using bivariate information, this leads to the use of ‘tobit’ correlations in weighted least squares estimation. The behaviour of the tobit approach is compared to that of normal theory estimation and ADF estimation.
Bengt Muthén (Wed,) studied this question.