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Randomized Response Technique in a National Survey

Journal of the American Statistical Association, 1978
Abstract The randomized response technique was used in the 1973 National Survey of Family Growth to produce estimates of the number of women having abortions during a 12-month period in the conterminous United States. The model applied used two unrelated questions in separate half-samples, with a coin as the randomizing device.
I M, Shimizu, G S, Bonham
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The Efficiency of the Multiple Trial Randomized Response Technique

Biometrics, 1976
It has been proven theoretically that repeated administration of two-related-question randomized response technique (RRT) substantially increases the efficiency by reducing the variance of the estimate. The realtive efficiency of RRT to direct question with various number of trials per respondent under various degrees of truthful response and various ...
Liu, P. T., Chow, L. P.
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Randomized response techniques

Model Assisted Statistics and Applications, 2014
Collection of data on sensitive characteristics from human populations is not an easy task. For example sensitive questions: (a) Are you an Alawite? (b) Are you gay? (c) Have you ever molested a child? (d) Have you underreported your income on your tax return? (e) Do you smoke marijuana?, and (f) Have you ever cheated on an exam?, etc.
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The Validity of the Randomized Response Technique

Public Opinion Quarterly, 1979
IN the considerable literature that has appeared on the randomized response technique (RRT), only one study (Lamb and Stem, 1978) has addressed its validity. However, this study utilized a convenience sample of rather small size, thereby limiting generalizability of results.
S. M. Zdep   +3 more
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A generalized randomized response technique

Metrika, 2003
To eliminate a major source of bias in surveys of human populations resulting from respondents refusal to cooparate in cases where a question of sensitive nature is involved, the idea of “randomized response” was introduced by Warner (1965). In this paper, an alternative randomized response technique is presented which improves upon the pioneering work
Christofides, Tasos C.   +1 more
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Randomized Response Techniques

2018
There are situations when we need information on sensitive features/characteristics of the individuals in a population. Usual sampling techniques based on ‘direct’ questionnaire may not be fruitful and are likely to lead to ‘refusal’ or ‘untruthful’ reporting.
S. P. Mukherjee   +2 more
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Alternative Estimator in Dichotomous Randomized Response Technique

Communications in Mathematics and Statistics, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ewemooje, O. S.   +2 more
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Use of the Randomized Response Technique with a New Randomizing Device

Journal of the American Statistical Association, 1975
Abstract This article presents a new randomizing device to obtain discrete quantitative as well as qualitative data on sensitive problems. The total number of balls in the randomizing device and the ratio of the different color balls which represent different sensitive characteristics are shown to affect the efficiency of estimates.
P. T. Liu, L. P. Chow, W. H. Mosley
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The Takahasi-Sakasegawa Randomized Response Technique

Sociological Methods & Research, 1982
The survey researcher who attempts to collect injormation on sensitive topics usually encounters resistance on the part of potential respondents. Subjects frequently either refuse to answer sensitive questions or give untruthful answers. The randomized response technique has been developed to facilitate the collection of sensitive information. Takahasi
SANDRA F. BELDT   +2 more
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An Empirical Validation of the Randomized Response Technique

Journal of Marketing Research, 1978
Qualitative, quantitative, and ratio estimate randomized response models were tested in comparison with a conventional interview technique in the measurement of a sensitive issue with known true values. Results show that the randomized response model is successful in minimizing measurement error and provides more accurate estimates of sensitive ...
Charles W. Lamb, Donald E. Stem
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