SinghJoarderData

This data set contains observations from a randomized response survey conducted in a university to investigate compulsive spending.
The sample is drawn by simple random sampling without replacement.
The randomized response technique used is the Singh-Joarder model (Singh and Joarder, 1997) with parameter \(p=0.6\).

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

SinghJoarderData function

A data frame containing 170 observations from a population of \(N=802\) students. The variables are:<ul>
<li>ID: Survey ID of student respondent</li>
<li>z: The randomized response to the question: Do you have spend compulsively?</li>
<li>Pi: first-order inclusion probabilities</li>
</ul>

SinghJoarderData: Randomized Response Survey on compulsive spending

Description

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See Also

Examples