The GME estimator for the regression model with a composite indicator as explanatory variable

@article{Ciavolino2015TheGE,
  title={The GME estimator for the regression model with a composite indicator as explanatory variable},
  author={E. Ciavolino and M. Carpita},
  journal={Quality \& Quantity},
  year={2015},
  volume={49},
  pages={955-965}
}
We use the generalized maximum entropy (GME) estimator to take into account the measurement error in the regression model with a composite indicator, Likert-type scales based, as explanatory variable. We show that, the reliability measure of the observed composite indicator can be used to define an estimator of the error variance and the supports required by the GME approach. As well as to obtain an estimate of the slope parameter of the model, that has statistical properties similar to the… Expand
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