A multiplicative unrelated quantitative randomized response model

A stratified unrelated question randomized response model

This 'paper presents a new randomized response model that combines Kim and Warde's (2004) stratified Warner's randomized response technique using optimal allocation with the unrelated question randomized response model. The empirical studies performed show that, for the prior information given, the new model is more efficient in terms of variance (in the case of completely truthful reporting) a...

1982: the Covariate Unrelated Question Randomized Response Model

The randomized response technique (Warner, 1965) is a data collection procedure that allows researchers to collect sensitive information while guaranteeing privacy to respondents. For example, if one question from a pair of questions that have the same response options is selected randomly and in private, the question answered by a given individual will not be known to the researcher. However, ...

Generalized Forced Quantitative Randomized Response Model

A new generalized forced quantitative randomized response (GFQRR) model for estimating the population total of a sensitive variable is proposed and studied under a unified setup. The bias and variance expressions are derived under unequal probability sampling design. It is shown that the models due to Eichhorn and Hayre (1983), Bar-Lev, Bobovitch, and Boukai (2004), Liu and Chow (1976a, 1976b),...

Randomized Response Group Testing Model

New Randomized Response Procedures

This article focuses on the estimation of population proportion when the study variable is sensitive in nature. Two implicit randomized response techniques are proposed where the unrelated trait can be chosen subjectively. In addition to unbiased estimation of population proportion and variance, an empirical study is conducted to inspect the relative efficiency facet of the proposed techniques....