ForcedResponseData

This data set contains observations from a randomized response survey obtained from a simulated population.
The main variable is a binomial distribution with a probability 0.5.
The sample is drawn by simple random sampling without replacement.
The randomized response technique used is the Forced Response model (Boruch, 1972) with parameters \(p_1=0.2\) and \(p_2=0.2\).

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

ForcedResponseData function

A data frame containing 1000 observations from a population of \(N=10000\). The variables are:<ul>
<li>ID: Survey ID</li>
<li>z: The randomized response</li>
<li>Pi: first-order inclusion probabilities</li>
</ul>

ForcedResponseData: Randomized Response Survey of a simulated population

Description

Usage

Arguments

Format

References

See Also

Examples