Unrelated Question Randomized Response Model Research Articles

On Moors' Randomized Response Model

AbstractThis paper considers a modification of famous unrelated question randomized response model due to Moors' (1971). The estimator based on the proposed strategy is shown to be unbiased and always more efficient than the estimator for Moor's model.

An Improved Unrelated Question Randomized Response Strategy

We consider the problem of estimating π the proportion of human population belonging to the sensitive category. A new randomized response procedure using known πr (the proportion of population possessing a non-stigmatized attribute) bas been proposed. The proposed strategy provides unbiased and more efficient estimator of π than the one based on Greenberg et al.'s (1969) usual unrelated question randomized response model with known πr

Respondent hazards in the unrelated question randomized response model

The randomized response technique is a method of interviewing which allows estimation of population proportion or mean of a sensitive characteristic while maintaining anonymity of response. This is accomplished by use of two questions in the interview, one sensitive and one not so, with the respondent applying a random device to determine which question to answer. The statistician knows the parameters of the random device but is kept from knowledge of individual outcomes. When the nonsensitive question bears on a matter quite foreign to the sensitive characteristic, it is termed an unrelated question, and the associated technique carries that designation. Critical in the construction of such a model are the assigned probability p that the respondent will select the sensitive question and the proportion Π y of the population having the unrelated nonsensitive characteristic. The choice of these parameters is discussed herein with reference to the risks perceived by respondents.

Optimization of the Unrelated Question Randomized Response Model

Abstract In their article [1] B. G. Greenberg, et al. discussed Simmons' modification of Warner's Randomized Response Technique and advised on the choice of the parameters in the model. One of their recommendations, however, is far from being the most efficient. The correctness of their other recommendations is proved and it is shown that the optimized method is superior to Warner's Technique.

Optimization of the Unrelated Question Randomized Response Model

Optimization of the Unrelated Question Randomized Response Model

The Unrelated Question Randomized Response Model: Theoretical Framework

Abstract This paper develops a theoretical framework for the unrelated question randomized response technique suggested by Walt R. Simmons. The statistical efficiency of this technique is compared with the Warner technique under situations of both truthful and untruthful responses. Methods of allocating the total sample to each of two subsamples required by the unrelated question approach are developed. Recommendations are made concerning choices of values for those parameters which can be assigned at the discretion of the investigator.

The Unrelated Question Randomized Response Model: Theoretical Framework

Abstract This paper develops a theoretical framework for the unrelated question randomized response technique suggested by Walt R. Simmons. The statistical efficiency of this technique is compared with the Warner technique under situations of both truthful and untruthful responses. Methods of allocating the total sample to each of two subsamples required by the unrelated question approach are developed. Recommendations are made concerning choices of values for those parameters which can be assigned at the discretion of the investigator.