Results 1 to 10 of about 1,876,667 (278)

A neutral comparative analysis of additive, multiplicative, and mixed quantitative randomized response models [PDF]

open access: yesPLoS ONE, 2023
In survey sampling, the randomized response technique is a useful tool to collect reliable data in many fields including sociology, education, economics, and psychology etc.
Muhammad Azeem, Sidra Ali
doaj   +3 more sources

A comparative study of randomized response techniques using separate and combined metrics of efficiency and privacy. [PDF]

open access: yesPLoS ONE, 2023
In social surveys, the randomized response technique can be considered a popular method for collecting reliable information on sensitive variables. Over the past few decades, it has been a common practice that survey researchers develop new randomized ...
Muhammad Azeem   +4 more
doaj   +2 more sources

On partial randomized response model using ranked set sampling [PDF]

open access: yesPLoS ONE, 2022
In this paper, we propose a partial randomized response technique to collect reliable sensitive data for estimation of population proportion in ranked set sampling (RSS) scheme using auxiliary information.
Azhar Mehmood Abbasi   +2 more
doaj   +3 more sources

Improving a novel quantitative randomized response method using auxiliary variable information [PDF]

open access: yesHeliyon
In the majority of sample surveys, the variable of interest might have sensitive characteristics. Since we frequently get unrealistic responses from respondents during interviews as employing the direct method is not seen logical in these situations.
Hamed Salemian   +3 more
doaj   +2 more sources

Cryptographic Randomized Response Techniques [PDF]

open access: yes, 2004
We develop cryptographically secure techniques to guarantee unconditional privacy for respondents to polls. Our constructions are efficient and practical, and are shown not to allow cheating respondents to affect the ``tally'' by more than their own vote -- which will be given the exact same weight as that of other respondents. We demonstrate solutions
Ambainis, Andris   +2 more
openaire   +6 more sources

A novel efficient randomized response model designed for attributes of utmost sensitivity [PDF]

open access: yesHeliyon
The existence of potential incomplete truthful reporting emerges when dealing with topics of great sensitivity. This paper introduces a novel, efficient randomized response model to address the challenges of untruthful reporting.
Ahmad M. Aboalkhair   +4 more
doaj   +2 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

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

Home - About - Disclaimer - Privacy