HorvitzUBData: Randomized Response Survey on drugs use

In RRTCS: Randomized Response Techniques for Complex Surveys

Description

This data set contains observations from a randomized response survey conducted in a university to investigate drugs use. The sample is drawn by cluster sampling with the probabilities proportional to the size. The randomized response technique used is the Horvitz-UB model (Chaudhuri, 2011) with parameters p_1=0.6 and p_2=0.7.

Usage

data(HorvitzUBData)

Format

A data frame containing a sample of 188 observations from a population of N=802 students divided into four cluster. The variables are:

• ID: Survey ID of student respondent

• CL: Cluster ID

• I: The first randomized response to the question: Have you ever used drugs?

• J: The second randomized response to the question: Have you ever used drugs?

• Pi: first-order inclusion probabilities

References

Chaudhuri, A. (2011). Randomized response and indirect questioning techniques in surveys. Boca Raton: Chapman and Hall, CRC Press.

Greenberg, B.G., Abul-Ela, A.L., Simmons, W.R., Horvitz, D.G. (1969). The unrelated question RR model: Theoretical framework. Journal of the American Statistical Association, 64, 520-539.

Horvitz, D.G., Shah, B.V., Simmons, W.R. (1967). The unrelated question RR model. Proceedings of the Social Statistics Section of the American Statistical Association. 65-72. Alexandria, VA: ASA.

See Also

HorvitzUB

Examples

data(HorvitzUBData)

RRTCS documentation built on April 21, 2021, 9:06 a.m.