ErikssonData

This data set contains observations from a randomized response survey conducted in a university to investigate cheating behaviour in exams.
The sample is drawn by stratified sampling by university faculty with uniform allocation.
The randomized response technique used is the Eriksson model (Eriksson, 1973) with parameter \(p=0.5\) and \(S\) a discrete uniform variable at the points (0,1,3,5,8).
The data were used by Arcos et al. (2015).

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

ErikssonData function

A data frame containing 102 students of a sample extracted from a population of \(N=53376\) 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: How many times have you cheated in an exam in the past year?</li>
<li>Pi: first-order inclusion probabilities</li>
</ul>

ErikssonData: Randomized Response Survey on student cheating

Description

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Examples