On the Imputation of Missing Data in Surveys with Likert-Type Scales

@article{Carpita2011OnTI,
  title={On the Imputation of Missing Data in Surveys with Likert-Type Scales},
  author={M. Carpita and Marica Manisera},
  journal={Journal of Classification},
  year={2011},
  volume={28},
  pages={93-112}
}
Starting from the problem of missing data in surveys with Likert-type scales, the aim of this paper is to evaluate a possible improvement for the imputation procedure proposed by Lavori, Dawson, and Shera (1995) here called Approximate Bayesian bootstrap with Propensity score (ABP).We propose an imputation procedure named Approximate Bayesian bootstrap with Propensity score and Nearest neighbour (ABPN), which, after the “propensity score step” of ABP, randomly selects a donor in the… Expand
Modeling "don't know" responses in rating scales
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