Randomized Response Technique

Campbell, Arthur A.

doi:10.1126/science.3576215

Cited by 26 publications

(23 citation statements)

References 1 publication

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“…Another well known method is represented by randomized response (RR; Chaudhuri and Mukerjee 1988;Fox and Tracy 1986;Warner 1965). RR is a general approach that was developed in the statistics community for the purpose of protecting surveyees' privacy and has been used especially in self-administered questionnaires for large scale sample surveys (e.g., Campbell 1987;Cohen 1987;Kolata 1987). Generally, RR is characterized by complex and not always transparent sampling procedures as well as by the need of a large number of cases which is usually necessary to produce estimates with a sufficient level of reliability (Campbell 1987).…”

Section: Some Currently Used Approaches For Fake Datamentioning

confidence: 99%

SGR Modeling of Correlational Effects in Fake Good Self-report Measures

Lombardi

Pastore

Nucci

et al. 2014

Methodol Comput Appl Probab

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In many self-report measures (i.e., personality survey items and diagnostic test items) the collected samples often include fake records. A case of particular interest in selfreport measures is the presence of caricature effects in participants’ responses under faking good motivation conditions. We say that a pattern of fake responses is a caricature pattern if it shows higher structural intercorrelations among faked items relative to the expected intercorrelations under the corresponding uncorrupted responses. In this paper we generalized a recent probabilistic perturbation procedure, called SGR - Sample Generation by Replacements - (Lombardi and Pastore (2012) Multivar Behav Res 47:519–546), to simulate caricature effects in fake good responses. To represent this particular faking behavior we proposed a novel extension of the SGR conditional replacement distribution which is based on a discrete version of the truncated multivariate normal distribution. We also applied the new procedure to real behavioral data on the role of perceived affective self-efficacy in social contexts and on self-report behaviors in reckless driving

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Section: Some Currently Used Approaches For Fake Datamentioning

confidence: 99%

SGR Modeling of Correlational Effects in Fake Good Self-report Measures

Lombardi

Pastore

Nucci

et al. 2014

Methodol Comput Appl Probab

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“…A more serious problem pertains to its validity-that is, to the utility of the RRT in obtaining more valid prevalence estimates than a direct question. In particular, the RRT has been criticized as being susceptible to respondents who fail to adhere to the randomized-response instructions by refusing to reply as directed by the randomization device (Campbell, 1987). In every questioning format, including direct questioning, participants may fail to adhere to the instructions by denying being a carrier of a sensitive attribute in spite of actually being one.…”

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confidence: 99%

A stochastic lie detector

2011

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Surveys on sensitive issues provide distorted prevalence estimates when participants fail to respond truthfully. The randomized-response technique (RRT) encourages more honest responding by adding random noise to responses, thereby removing any direct link between a participant's response and his or her true status with regard to a sensitive attribute. However, in spite of the increased confidentiality, some respondents still refuse to disclose sensitive attitudes or behaviors. To remedy this problem, we propose an extension of Mangat's (Journal of the Royal Statistical Society: Series B, 56, 93-95, 1994) variant of the RRT that allows for determining whether participants respond truthfully. This method offers the genuine advantage of providing undistorted prevalence estimates for sensitive attributes even if respondents fail to respond truthfully. We show how to implement the method using both closed-form equations and easily accessible free software for multinomial processing tree models. Moreover, we report the results of two survey experiments that provide evidence for the validity of our extension of Mangat's RRT approach.

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“…Campbell and Joiner (1973) suggested about how to get the answer without being sure you've asked the question. Campbell (1987) popularized among all scientists. Goodstadt and Gruson (1975) …”

Section: Motivationmentioning

confidence: 99%

A BIVARIATE PROBABILITY MODEL TO IDENTIFY ÂHONESTYâ VERSUS ÂCHEATINGâ IN ECONOMIC SURVEYS: XENOPHOBIA IS ILLUSTRATED

Shanmugam¹

2014

American Journal of Economics and Business Administration

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Making successful policies for manufacturing or globalized business sectors require "honest" answers by the respondents in the surveys. When some respondents cheat in their answers to the questions in a survey for a variety of reasons, the survey results become useless. Currently, there is no appropriate probability model to address this phenomenon "cheating" in a survey. An efficient methodology is needed to estimate the proportion of "cheaters" in a survey and assess the statistical significance of the estimate. Such a methodology does not exist now in the literature. This article fulfils the need. In a pioneering manner, this article has formulated a bivariate probability model to explain the "cheating" in surveys. Several statistical properties of this new model are identified and explained. For illustration of the new probability model, the responses from 259 less and 217 more educated Germans about xenophobia are considered. The xenophobia is a stumbling block to a successful business operation in this globalized economy. Two psychometric reasons: "Insecurity level" and "social pressure" behind the xenophobia are captured with the help of the probability model and they are explained. The model of this article helps to predict "honesty" versus "cheating" levels in a survey. A statistical testing procedure is prepared to check whether an estimated "social pressure" level is significant.

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Randomized Response Technique

Cited by 26 publications

References 1 publication

SGR Modeling of Correlational Effects in Fake Good Self-report Measures

SGR Modeling of Correlational Effects in Fake Good Self-report Measures

A stochastic lie detector

A BIVARIATE PROBABILITY MODEL TO IDENTIFY ÂHONESTYâ VERSUS ÂCHEATINGâ IN ECONOMIC SURVEYS: XENOPHOBIA IS ILLUSTRATED

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Randomized Response Technique

Cited by 26 publications

References 1 publication

SGR Modeling of Correlational Effects in Fake Good Self-report Measures

SGR Modeling of Correlational Effects in Fake Good Self-report Measures

A stochastic lie detector

A BIVARIATE PROBABILITY MODEL TO IDENTIFY ÂHONESTYâ VERSUS ÂCHEATINGâ IN ECONOMIC SURVEYS: XENOPHOBIA IS ILLUSTRATED

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A BIVARIATE PROBABILITY MODEL TO IDENTIFY ÂHONESTYâ VERSUS ÂCHEATINGâ IN ECONOMIC SURVEYS: XENOPHOBIA IS ILLUSTRATED