Two Stage Randomized Response Schemes for Estimating a Multinomial

1975 ◽  
Vol 4 (11) ◽  
pp. 1021-1032
Author(s):  
Yosef Hochberg
Keyword(s):  
Randomized Response ◽  
Two Stage

A Two-stage Multilevel Randomized Response Technique With Proportional Odds Models and Missing Covariates

2020 ◽  
pp. 004912412091495
Author(s):  
Shu-Hui Hsieh ◽  
Shen-Ming Lee ◽  
Chin-Shang Li
Keyword(s):  
Missing At Random ◽  
Missing Covariates ◽  
Randomized Response ◽  
Personal Privacy ◽  
Proportional Odds ◽  
Two Stage ◽  
Inverse Probability ◽  
Wide Range ◽  
Proportional Odds Models ◽  
Income Data

Surveys of income are complicated by the sensitive nature of the topic. The problem researchers face is how to encourage participants to respond and to provide truthful responses in surveys. To correct biases induced by nonresponse or underreporting, we propose a two-stage multilevel randomized response (MRR) technique to investigate the true level of income and to protect personal privacy. For a wide range of applications, we present a proportional odds model for two-stage MRR data and apply inverse probability weighting and multiple imputation methods to deal with covariates on some subjects that are missing at random. A simulation study is conducted to investigate the effects of missing covariates and to evaluate the performance of the proposed methods. The practicality of the proposed methods is illustrated with the regular monthly income data collected in the Taiwan Social Change Survey. Furthermore, we provide an estimate of personal regular monthly mean income.

scholarly journals A Proficient Two-Stage Stratified Randomized Response Strategy

2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Tanveer A. Tarray ◽  
Housila P. Singh
Keyword(s):  
Optimal Allocation ◽  
Response Strategy ◽  
Response Model ◽  
Randomized Response ◽  
Two Stage ◽  
Model Based ◽  
Large Gain ◽  
Proposed Model ◽  
Randomized Response Model

A stratified randomized response model based on R. Singh, Singh, Mangat, and Tracy (1995) improved two-stage randomized response strategy is proposed. It has an optimal allocation and large gain in precision. Conditions are obtained under which the proposed model is more efficient than R. Singh et al. (1995) and H. P. Singh and Tarray (2015) models. Numerical illustrations are also given in support of the present study.

The Collection of Sensitive Information Using a Two-Stage, Randomized Response Model

1975 ◽  
Vol 12 (4) ◽  
pp. 402-407 ◽  
Author(s):  
James E. Reinmuth ◽  
Michael D. Geurts
Keyword(s):  
Sampling Design ◽  
Shopping Center ◽  
Sensitive Information ◽  
Response Model ◽  
Randomized Response ◽  
Two Stage ◽  
Ratio Estimate ◽  
Positive Action ◽  
Randomized Response Model

This article extends the randomized response sampling design to find the intensity of positive action on a sensitive topic among those who have taken a positive action. Sampling properties of the ratio estimate are explored and the model is used to estimate the intensity of shoplifting among shoplifters in a Honolulu shopping center.

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