Improved Randomized Response in Optional Scrambling Models

DOI

10.2991/jsta.d.191112.001How to use a DOI?

Keywords

Randomized response; Percent relative efficiency; Optimum sample size; Optional randomized response model; Sensitive quantitative variable

Abstract

In the present study, we discuss the issue of increasing the respondents cooperation in sensitive surveys. When the question is highly sensitive then the cooperation from the respondents is decreased. We propose two optional randomized response models (ORRMs) to increase the respondents cooperation. A comparison of proposed ORRMs with [1] two- and three-stage models have been made. It is found that, in estimating mean and sensitivity level, the proposed strategies perform better than [1] two- and three-stage models. A comparison is also made among the [1] two- and three-stage models and proposed ORRMs to identify the best one. Numerical illustration are also given in favor of the algebraic results.

Copyright

© 2019 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Zawar Hussain
AU  - Muhammad Imran Shahid
PY  - 2019
DA  - 2019/11/25
TI  - Improved Randomized Response in Optional Scrambling Models
JO  - Journal of Statistical Theory and Applications
SP  - 351
EP  - 360
VL  - 18
IS  - 4
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.d.191112.001
DO  - 10.2991/jsta.d.191112.001
ID  - Hussain2019
ER  -