Adjusted Kuk's model using two non sensitive characteristics unrelated to the sensitive characteristic

Su, Shu-Ching; Sedory, Stephan A.; Singh, Sarjinder

doi:10.1080/03610926.2015.1040503

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…Since the pioneer work of (Warner, 1965 ), many extensions and developments have been proposed by various authors. These concern, first, improvements of the Warner design with respect to the statistical efficiency and/or the respondent’s cooperation by modifying the structure, for example, see (Boruch, 1971 ; Greenberg, Abul-Ela, Simmons, & Horvitz, 1969 ; Kuk, 1990 ; Cruyff, Böckenholt, & van der Heijden, 2016 ; Ulrich, Schröter, Striegel, & Simon, 2012 ; Gupta, Tuck, Gill, & Crowe, 2013 ; Lee, Sedory, & Singh, 2013 ; Su, Sedory, & Singh, 2017 ; Sayed & Mazloum, 2020 ; Sedory, Singh, Olanipekun, & Wark, 2020 ; Reiber, Schnuerch, & Ulrich, 2022 ; Zapata, Sedory, & Singh, 2022 ). Second, they concern the improvement of the analysis of RR data by relating the sensitive question measured with RR, with covariates and taking into account the possibility for noncompliance to the instructions of RR design (Scheers & Dayton, 1988 ; Clark & Desharnais, 1998 ; Böckenholt & van der Heijden, 2007 ; Cruyff, van den Hout, van der Heijden, & Böckenholt, 2007 ; Böckenholt, Barlas, & van der Heijden, 2009 ; Moshagen, Musch, & Erdfelder, 2012 ; Hoffmann & Musch, 2016 ; Reiber, Pope, & Ulrich, 2020 ; Hoffmann, Meisters, & Musch, 2020 ; Wolter & Diekmann, 2021 ; Meisters, Hoffmann, & Musch, 2022b ).…”

Section: Introductionmentioning

confidence: 99%

The analysis of randomized response “ever” and “last year” questions: A non-saturated Multinomial model

2023

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Randomized response (RR) is a well-known interview technique designed to eliminate evasive response bias that arises from asking sensitive questions. The most frequently asked questions in RR are either whether respondents were “ever” carriers of the sensitive characteristic, or whether they were carriers in a recent period, for instance, “last year”. The present paper proposes a design in which both questions are asked, and derives a multinomial model for the joint analysis of these two questions. Compared to the separate analyses with the binomial model, the model makes a useful distinction between last year and former carriers of the sensitive characteristic, it is more efficient in estimating the prevalence of last year carriers, and it has a degree of freedom that allows for a goodness-of-fit test. Furthermore, it is easily extended to a multinomial logistic regression model to investigate the effects of covariates on the prevalence estimates. These benefits are illustrated in two studies on the use of anabolic androgenic steroids in the Netherlands, one using Kuk and one using both the Kuk and forced response. A salient result of our analyses is that the multinomial model provided ample evidence of response biases in the forced response condition.

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Section: Introductionmentioning

confidence: 99%

The analysis of randomized response “ever” and “last year” questions: A non-saturated Multinomial model

2023

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“…This is very important in the field of empirical sociology, although one has to depart from the customary path of asking information directly. Some examples of the collection of data through personal interview surveys on sensitive issues such as induced abortions, drug abuse, and family income are given by Fox (2015), Fox and Tracy (1986), Gjestvang and Singh (2006), Gjestvang and Singh (2009), Chaudhuri (2011), Chaudhuri and Christofides (2013), Su (2013), Su, Sedory and Singh (2014) and Su, Sedory and Singh (2017). Warner (1965) considered the case where the respondents in a population Ω can be divided into two mutually exclusive groups: one group with a stigmatizing/ sensitive characteristic and the other group without it.…”

Section: Introductionmentioning

confidence: 99%

Randomized Response Sampling with Applications to Tracking Drugs for Better Life

Su¹,

Salinas²,

Zamora³

et al. 2021

STAT SINICA

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Warner (1965) proposed an interviewing technique, called randomized response, designed to protect an interviewee's privacy and to reduce a major source of bias (evasive answers or refusing to respond) when estimating the prevalence of sensitive characteristics by means of surveys of human populations. The objective of this paper is to introduce a new method in the field of randomized response sampling that could be used for tracking the addictions of people to various substances. Sky News (2013), United Kingdom, suggests that students who use the smart drug 'modafinil' are potentially putting their health at risk. A few studies of similar addictions, based on handson experience with the newly proposed technique, are discussed.

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“…A recent list of key references to the theory and practice of randomized response sampling are due to Fox (2016); Fox and Tracy (1986); Chaudhuri, Christofides, and Rao (2016); Chaudhuri and Christofides (2013); and Chaudhuri (2011). Some thoughtful improvements of the Warner (1965) model can be found in Gjestvang and Singh (2006), Su et al (2015, 2017), Lee et al (2016), van den Hout et al (2007), Jayaraj et al (2018), and Singh and Sedory (2011, 2012) among others. Blair et al (2015) wrote a review article on RRTs.…”

Section: Introductionmentioning

confidence: 99%

A Theory of Higher Order Interactions Between Sensitive Variables: Empirical Evidences and an Application to a Variety of Smoking

Olanipekun

Zhao

Wang

et al. 2021

Sociological Methods & Research

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In carrying out surveys involving sensitive characteristics, randomized response models have been considered among the best techniques since they provide the maximum privacy protection to the respondents and procure honest responses. Over the years, researchers have carried out studies on the estimation of proportions of the population possessing sensitive characteristics. However, there is a paucity of research studies that have addressed higher order interactions between these sensitive characters. In this article, we develop a new theory based on three proposed randomized response models which we name as: simple model, semi-crossed model, and fully crossed model. Twenty-one new unbiased estimators of seven parameters are introduced, their variance expressions are derived, and unbiased estimators of variances are developed. The three models are compared under various values of the parameters by computing the percent relative efficiency of one model over another model. The most efficient model is then applied to study the population proportions of three varieties of smoking habits among students, and their first- and second-order interactions. The last four sections (Ninth to Twelfth) are verifications of theoretical results using the Cramer–Rao lower bounds of variances for the developed 21 new estimators in randomized response sampling.

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Adjusted Kuk's model using two non sensitive characteristics unrelated to the sensitive characteristic

Cited by 6 publications

References 10 publications

The analysis of randomized response “ever” and “last year” questions: A non-saturated Multinomial model

The analysis of randomized response “ever” and “last year” questions: A non-saturated Multinomial model

Randomized Response Sampling with Applications to Tracking Drugs for Better Life

A Theory of Higher Order Interactions Between Sensitive Variables: Empirical Evidences and an Application to a Variety of Smoking

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