BarLevData

This data set contains observations from a randomized response survey conducted in a population of 2396 industrial companies in a city to investigate their income.
The sample is drawn by stratified sampling with probabilities proportional to the size of the company.
The randomized response technique used is the BarLev model (Bar-Lev et al, 2004) with parameter \(p=0.6\) and scramble variable \(S=exp(1)\).

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

BarLevData function

A data frame containing 370 observations of a sample of companies divided into three strata.
The variables are:<ul>
<li>ID: Survey ID</li>
<li>ST: Strata ID</li>
<li>z: The randomized response to the question: What was the company's income in the previous fiscal year?</li>
<li>Pi: first-order inclusion probabilities</li>
</ul>

BarLevData: Randomized Response Survey on industrial company income

Description

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Examples