Abstract
Missing data is often a problem in social science data. Imputation methods fill in the missing responses and lead, under certain conditions, to valid inference. This paper proposes an investigation procedure concerning the Eichhorn and Hayre [6]'s quantitative sensitive characteristic randomized response procedure in the presence of missing data. For the missing randomized responses, their values are imputed in the ratio form. The estimator for the population mean of sensitive characteristic variable is addressed and its nature is discussed in detail. A simulation study evaluates the proposed imputation methods, and this procedure is found to perform well with regards to bias and mean square error.
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