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Randomized Response Techniques: A Systematic Review from the Pioneering Work of Warner (1965) to the Present

open access: yesMathematics, 2023
The randomized response technique is one of the most commonly used indirect questioning methods to collect data on sensitive characteristics in survey research covering a wide variety of statistical applications including, e.g., behavioral science, socio-
Truong-Nhat Le   +3 more
doaj   +3 more sources

Functionality of the Crosswise Model for Assessing Sensitive or Transgressive Behavior: A Systematic Review and Meta-Analysis

open access: yesFrontiers in Psychology, 2021
Tools for reliable assessment of socially sensitive or transgressive behavior warrant constant development. Among them, the Crosswise Model (CM) has gained considerable attention.
Dominic Sagoe   +9 more
doaj   +1 more source

Hierarchical Bayesian Modeling and Randomized Response Method for Inferring the Sensitive-Nature Proportion

open access: yesMathematics, 2021
In this study, a new three-statement randomized response estimation method is proposed to improve the drawback that the maximum likelihood estimation method could generate a negative value to estimate the sensitive-nature proportion (SNP) when its true ...
Hua Xin   +3 more
doaj   +1 more source

Prediction of a Sensitive Feature under Indirect Questioning via Warner’s Randomized Response Technique and Latent Class Model

open access: yesMathematics, 2023
We investigate the association of a sensitive characteristic or latent variable with observed binary random variables by the randomized response (RR) technique of Warner in his publication (Warner, S.L. J. Am. Stat.
Shen-Ming Lee   +3 more
doaj   +1 more source

Puzzling Answers to Crosswise Questions: Examining Overall Prevalence Rates, Response Order Effects, and Learning Effects

open access: yesSurvey Research Methods, 2022
This validation study on the crosswise model (CM) examines five survey experiments that were implemented in a general population survey. Our first crucial result is that in none of these experiments was the crosswise model able to verifiably reduce ...
Sandra Walzenbach, Thomas Hinz
doaj   +1 more source

Scrambling Reports: New Estimators for Estimating the Population Mean of Sensitive Variables

open access: yesMathematics, 2023
Warner proposed a methodology called randomized response techniques, which, through the random scrambling of sensitive variables, allows the non-response rate to be reduced and the response bias to be diminished. In this document, we present a randomized
Pablo O. Juárez-Moreno   +3 more
doaj   +1 more source

Synthesized randomized response techniques

open access: yesScientific African, 2023
Reducing response bias in survey research is important in ensuring that the data collected accurately represents the population of interest. This study proposes the synthesized random response technique (SRRT) estimator as an efficient method to reduce ...
Isaac O. Adeniyi, Olusegun S. Ewemooje
doaj   +1 more source

RRreg: An R Package for Correlation and Regression Analyses of Randomized Response Data

open access: yesJournal of Statistical Software, 2018
The randomized response (RR) technique was developed to improve the validity of measures assessing attitudes, behaviors, and attributes threatened by social desirability bias.
Daniel W. Heck, Morten Moshagen
doaj   +1 more source

Introducing an Efficient Alternative Technique to Optional Quantitative Randomized Response Models

open access: yesMethodology, 2023
In social surveys on sensitive characteristics, optional randomized response models give the respondents the option to either report the true response or report the scrambled response.
Muhammad Azeem, Abdul Salam
doaj   +1 more source

SCRAPPOR: An Efficient Privacy-Preserving Algorithm Base on Sparse Coding for Information-Centric IoT

open access: yesIEEE Access, 2018
Different from the traditional Internet-of-Things (IoT) architecture, information-centric IoT is a novel paradigm in which changes are made to the entire network stack, from layer 3 up to the application layer.
Hui Cao   +3 more
doaj   +1 more source

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