ForcedResponseDataSt

This data set contains observations from a randomized response survey to determine the prevalence of infertility among women of childbearing age in a population-base study.
The sample is drawn by stratified sampling.
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

ForcedResponseDataSt function

A data frame containing 442 observations. The variables are:<ul>
<li>ID: Survey ID</li>
<li>ST: Strata ID</li>
<li>z: The randomized response to the question: Did you ever have some medical treatment for the infertility?</li>
<li>Pi: first-order inclusion probabilities</li>
</ul>

ForcedResponseDataSt: Randomized Response Survey on infertility

Description

Usage

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References

See Also

Examples