Advanced search
Publication Cover
Journal of the American Statistical Association Volume 66, 1971 - Issue 334
Submit an article Journal homepage
108
Views
210
CrossRef citations to date
0
Altmetric
Application

Application of the Randomized Response Technique in Obtaining Quantitative Data

Bernard G. Greenberg Department of Biostatistics, University of North Carolina, Chapel Hill, USA
,
Roy R. Kuebler Jr. Department of Biostatistics, University of North Carolina, Chapel Hill, USA
,
James R. Abernathy Department of Biostatistics, University of North Carolina, Chapel Hill, USA
&
Daniel G. Horvitz Statistics Research Division, Research Triangle Institute; Department of Statistics, North Carolina State University, Raleigh, USA
Pages 243-250 | Published online: 05 Apr 2012
 
Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days

Abstract

The randomized response technique of reducing respondent bias in obtaining answers to sensitive questions is extended from the situation where response is categorical to that in which the response is quantitative. Results are reported on the application of the method to estimating mean number of abortions in an urban population of women, and mean income of heads of households. The efficiency of estimators based on the method of moments in the randomized response procedure is studied and representative results are reported and discussed.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related Research Data

Assessing the validity of two indirect questioning techniques: A Stochastic Lie Detector versus the Crosswise Model.
Source: Springer Science and Business Media LLC
An alternative to Ryu et al. randomized response model
Source: Informa UK Limited
Telephone Interview and Mail Questionnaire Applications of the Randomized Response Model
Source: Informa UK Limited
Applications, Validation, and Research Agenda
Source: SAGE Publications
A new survey technique and its application in the field of public health.
Source: JSTOR
Design and Analysis of the Randomized Response Technique
Source: Informa UK Limited
A Comparison of Three Randomized Response Models for Quantitative Data
Source: Informa UK Limited
The Multi-Item Randomized Response Technique
Source: SAGE Publications
Understanding the drivers of sensitive behavior using Poisson regression from quantitative randomized response technique data.
Source: Public Library of Science (PLoS)
Ethics in Marketing Research: Their Practical Relevance:
Source: SAGE Publications
How to Improve the Efficiency of Randomised Response Designs
Source: Springer Science and Business Media LLC
An Evaluation of the Randomized Response Technique Versus Direct Questioning Using Individual Validation Data
Source: SAGE Publications
Understanding Off-the-Books Politics: Conducting Inference on the Determinants of Sensitive Behavior with Randomized Response Surveys
Source: Cambridge University Press (CUP)
Double-sampling regression-cum-exponential estimator of the mean of a sensitive variable
Source: Informa UK Limited
Dealing sensitive characters on successive occasions through a general class of estimators using scrambled response techniques
Source: Springer Science and Business Media LLC
Randomized response: a survey technique for eliminating evasive answer bias.
Source: Informa UK Limited
A Multi-Proportions Randomized Response Model
Source: Informa UK Limited
The Two Alternate Questions Randomized Response Model for Human Surveys
Source: Informa UK Limited
New scrambled response models for estimating the mean of a sensitive quantitative character
Source: Informa UK Limited
A new class of ratio-type estimators for improving mean estimation of nonsensitive and sensitive variables by using supplementary information
Source: Informa UK Limited
The Unrelated Question Randomized Response Model: Theoretical Framework
Source: Informa UK Limited

Linking provided by 

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.