2017
DOI: 10.22630/mibe.2017.18.1.07
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Comparing Proportions of Sensitive Items in Two Populations When Using Poisson and Negative Binomial Item Count Techniques

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Cited by 2 publications
(2 citation statements)
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“…Many indirect methods of questioning have been developed to help in eliciting honest answers to sensitive questions and to eliminate the social desirability bias. Among them two methods are predominant: randomised response techniques (Warner 1965, Chaudhuri 2011, Imai 2015, Dihidar and Bhattacharya, 2017 and item count techniques (Miller, 1984, Blair and Imai, 2012, Chaudhuri and Christofides, 2007, Imai, 2011, Holbrook and Krosnick, 2010, Comsa and Postelnicu, 2013, Wolter and Laier, 2014, Kuha and Jackson, 2014, Trappman et al, 2014, Kowalczyk and Wieczorkowski, 2017, Krumpal et al, 2018. Item count techniques have many practical advantages (Tourangeau and Yan, 2007).…”
Section: Methodology and Questionnaire Designmentioning
confidence: 99%
“…Many indirect methods of questioning have been developed to help in eliciting honest answers to sensitive questions and to eliminate the social desirability bias. Among them two methods are predominant: randomised response techniques (Warner 1965, Chaudhuri 2011, Imai 2015, Dihidar and Bhattacharya, 2017 and item count techniques (Miller, 1984, Blair and Imai, 2012, Chaudhuri and Christofides, 2007, Imai, 2011, Holbrook and Krosnick, 2010, Comsa and Postelnicu, 2013, Wolter and Laier, 2014, Kuha and Jackson, 2014, Trappman et al, 2014, Kowalczyk and Wieczorkowski, 2017, Krumpal et al, 2018. Item count techniques have many practical advantages (Tourangeau and Yan, 2007).…”
Section: Methodology and Questionnaire Designmentioning
confidence: 99%
“…As the problem deals with sensitive features only, π is commonly assumed to be less than 0.5 in the literature (see Imai, 2011;Tian et al, 2014;Kowalczyk, Wieczorkowski, 2017). To protect respondents' privacy properly and at the same time to ensure the not too high estimation error, Tian et al (2014) state that a good choice of λ is 2 (see Tian et al, 2014).…”
Section: Problem Of Optimal Allocation Based On ML Estimationmentioning
confidence: 99%