Results 241 to 250 of about 537,490 (272)

Alternative Estimator in Dichotomous Randomized Response Technique

Communications in Mathematics and Statistics, 2018
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Ewemooje, O. S., Adebola, F. B., Amahia, G. N.   +2 more
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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 ...
SANDRA F. BELDT, WAYNE W. DANIEL, BIKRAMJIT S. GARCHA   +2 more
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Making the Randomized Response Technique Work

Public Opinion Quarterly, 1976
T HE RANDOMIZED response technique first proposed by Warner (1965) has now undergone more than a decade of development. Prompting this effort has been the desire to obtain more reliable information when dealing with sensitive issues on surveys. As researchers in this area are fully aware, the two most frequently encountered problems when asking ...
S. M. Zdep, Isabelle N. Rhodes
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Software for Randomized Response Techniques

2016
Abstract The rapid evolution of technology in last decades has allowed conducting studies for complex surveys. Over time, the software is used in all steps of the survey: survey design, data collection, statistical data edition, statistical analysis, and publication results.
M. Rueda, B. Cobo, A. Arcos, R. Arnab
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An Alternative Randomized Response Technique Using Inverse Sampling

Calcutta Statistical Association Bulletin, 2002
This paper proposes several upper bounds of the variance of the estimator [Formula: see text] (say) suggested by Mangat and Singh (1990) making use of an inverse binomial randomized response (IBRR) procedure.
Singh, Housila P., Mathur, Nidhi
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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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Constructing indirect randomized response techniques using symmetry of response

Journal of Information and Optimization Sciences, 2005
This paper considers the problem of estimating the population proportion when the study variable is sensitive in nature. Some indirect randomized response techniques are proposed, which maintain the requirement of efficiency and protection of confidentiality.
Horng-Jinh Chang, Kuo-Chung Huang, Chao-Hsien Wu   +2 more
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Model selection in randomized response techniques for binary responses

Communications in Statistics - Theory and Methods, 2017
ABSTRACTRandomized response techniques (RRTs) have been proposed in survey sampling literature as a solution to the problem of social desirability bias (SDB) while dealing with sensitive questions. All RRTs reduce the SDB by introducing privacy protection for the respondents, but the variances of the estimates become larger compared with the ones ...
Husam I. Ardah, Evrim Oral
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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, Isabelle N. Rhodes, R. M. Schwarz, Mary J. Kilkenny   +3 more
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Quantal Response Techniques for Random Predictor Variables

Journal of Educational Statistics, 1977
The relationship between quantitative predictors and the probability of occurrence of one or more levels of a qualitative criterion can be analyzed by quantal response techniques. This paper presents two quantal response models. The first model treats the predictors as mathematical variables used as a stratification dimension; the second model uses ...
Maryellen McSweeney, William H. Schmidt
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