SoberanisCruzData

This data set contains observations from a randomized response survey conducted in a population of 1500 families in a Spanish town
to investigate speeding.
The sample is drawn by cluster sampling by district.
The randomized response technique used is the SoberanisCruz model (Soberanis Cruz et al., 2008) with parameter \(p=0.7\).
The innocuous question is: Is your car medium/high quality? with \(\alpha=0.5\).

datasets

Point and interval estimation of linear parameters with data
obtained from complex surveys (including stratified and clustered samples)
when randomization techniques are used. The randomized response technique
was developed to obtain estimates that are more valid when studying
sensitive topics. Estimators and variances for 14 randomized response
methods for qualitative variables and 7 randomized response methods for
quantitative variables are also implemented. In addition, some data sets
from surveys with these randomization methods are included in the package.

Beatriz Cobo Rodrguez

RRTCS

Randomized Response Techniques for Complex Surveys

SoberanisCruzData function

A data frame containing 290 observations from a population of \(N=1500\) families divided into twenty cluster.
The variables are:<ul>
<li>ID: Survey ID</li>
<li>CL: Cluster ID</li>
<li>z: The randomized response to the question: Do you often break the speed limit?</li>
<li>Pi: first-order inclusion probabilities</li>
</ul>

SoberanisCruzData: Randomized Response Survey on speeding

Description

Usage

Arguments

Format

References

See Also

Examples