MangatSinghData

This data set contains observations from a randomized response survey conducted in a university to investigate cannabis use.
The sample is drawn by stratified sampling by academic year.
The randomized response technique used is the Mangat-Singh model (Mangat and Singh, 1990) with parameters \(p=0.7\) and \(t=0.55\).

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

MangatSinghData function

A data frame containing 240 observations from a population of \(N=802\) students divided into four strata.
The variables are:<ul>
<li>ID: Survey ID of student respondent</li>
<li>ST: Strata ID</li>
<li>z: The randomized response to the question: Have you ever used cannabis?</li>
<li>Pi: first-order inclusion probabilities</li>
</ul>

MangatSinghData: Randomized Response Survey on cannabis use

Description

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References

See Also

Examples