Kuk's Model Adjusted for Protection and Efficiency
Bibliographic Data
| ID | 2330754 |
|---|---|
| Authors | Shu-Ching Su (Texas A&M University – Kingsville), Shu‐Ching Su (Texas A&M University – Kingsville), Stephen A Sedory (Texas A&M University – Kingsville), Sarjinder Singh (0000-0002-3138-9640, Texas A&M University – Kingsville) |
| Year | 2015 |
| Volume | 44 |
| Issue | 3 |
| Pages | 534-551 |
| Publication date | 2015-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sociological Methods & Research (JOURNAL) |
| Journal identifiers | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0049124114554459 |
| OpenAlex | W2129882911 |
| Language | EN |
| Citations received | 3 |
| References cited | 17 |
In this article, we adjust the Kuk randomized response model for collecting information on a sensitive characteristic for increased protection and efficiency by making use of forced 'yes' and forced 'no' responses. We first describe Kuk's model and then the proposed adjustment to Kuk's model. Next, by means of a simulation study, we compare the efficiency of the adjusted Kuk model relative to the pioneer Kuk model while maintaining at least equal protection of respondents
Econometrics · Statistics · Computer Science · Environmental Science · Hate Speech and Cyberbullying Detection · Mathematics · Survey Sampling and Estimation Techniques
| Citations per year | 0.43 |
|---|---|
| Citation span | 2019 - 2023 (5) |
| Highly cited | No |