In sample survey research when sensitive information such as illegal drug usage, rape, examination malpractices among students, induced abortion and the likes are to be obtained from individuals or respondents, false or no response is imminent. This paper proposes a new randomised response model to correct this bias by incorporating the force-response in a dichotomous technique. The unbiased estimate and variance of the proposed model were obtained. The proposed randomised response model is then compared with the Unbiased Estimator in the Unrelated Dichotomous Randomised Response Model, (UEUDRRT) and Alternative Estimator in Dichotomous Randomised Response Model, (AEDRRT). The numerical investigation revealed that the variance of the proposed model reduces while the V(UEUDRRT) and V(AEDRRT) increase as the sensitive issues increase. Hence, the proposed model has percentage relative efficiencies (PREs) as high as 1195.45% and 1977.20% over UEUDRRT and AEDRRT, respectively. Also, the application of the proposed method revealed that it is practically more efficient in estimating the proportion of respondents involved in sensitive character (cyber threat) than the direct method of data collection. Therefore, the proposed technique has been shown to be more efficient than conventional ones.

Projects

Currently no objects available

Currently no objects available