MangatSinghSinghData

This data set contains observations from a randomized response survey conducted in a university to investigate internet betting.
The sample is drawn by stratified (by faculty) cluster (by group) sampling.
The randomized response technique used is the Mangat-Singh-Singh model (Mangat, Singh and Singh, 1992) with parameter \(p=0.6\).
The unrelated question is: Does your identity card end in an even number? with a probability \(\alpha=0.5\).

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

MangatSinghSinghData function

A data frame containing 802 observations from a population of students divided into eight strata. Each strata has a certain number of clusters, totalling 23.
The variables are:<ul>
<li>ID: Survey ID of student respondent</li>
<li>ST: Strata ID</li>
<li>CL: Cluster ID</li>
<li>z: The randomized response to the question: In the last year, did you bet on internet?</li>
<li>Pi: first-order inclusion probabilities</li>
</ul>

MangatSinghSinghData: Randomized Response Survey on internet betting

Description

Usage

Arguments

Format

References

See Also

Examples