Results 251 to 260 of about 666,640 (298)

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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The Multi-Item Randomized Response Technique

Sociological Methods & Research, 2008
The randomized response technique (RRT) attempts to reduce social desirability bias in self-reports by creating a probabilistic relationship between the response given and the question posed. The multi-item RRT extends the RRT procedure to scales composed of multiple items.
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Randomized Response Techniques Using Maximum Likelihood Estimator

Communications in Statistics - Theory and Methods, 2015
The randomized response (RR) technique with two decks of cards proposed by Odumade and Singh (2009) can always be made more efficient than the RR techniques proposed by Warner (1965), Mangat and Singh (1990), and Mangat (1994) by adjusting the proportion of cards in the decks. Arnab et al.
Raghunath Arnab, D. K. Shangodoyin
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Modifying Classical Randomized Response Techniques with Provision for True Response

Calcutta Statistical Association Bulletin, 2011
In this paper we consider four well-known randomized response models; the unrelated question model, the unknown repeated trial model, the forced response model and a model for quantitative responses. Traditionally these models are applied to the respondents chosen by simple random sampling with replacement.
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