A Critical Evaluation of the Randomized Response Method

Umesh, U. N.; Peterson, Robert A.

doi:10.1177/0049124191020001004

Cited by 81 publications

(54 citation statements)

References 53 publications

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“…The results of comparative studies are interpreted according to the more is better assumption: A higher population estimate is interpreted as a more valid population estimate (Umesh and Peterson 1991). As in individual validation studies, the results vary greatly across the comparative studies.…”

Section: Comparative Studiesmentioning

confidence: 99%

Meta-Analysis of Randomized Response Research

Lensvelt-Mulders¹,

Hox²,

Heijden³

et al. 2005

Sociological Methods & Research

354

347

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This article discusses two meta-analyses on randomized response technique (RRT) studies, the first on 6 individual validation studies and the second on 32 comparative studies. The meta-analyses focus on the performance of RRTs compared to conventional question-and-answer methods. The authors use the percentage of incorrect answers as effect size for the individual validation studies and the standardized difference score (d-probit) as effect size for the comparative studies. Results indicate that compared to other methods, randomized response designs result in more valid data. For the individual validation studies, the mean percentage of incorrect answers for the RRT condition is .38; for the other conditions, it is .49. The more sensitive the topic under investigation, the higher the validity of RRT results. However, both meta-analyses have unexplained residual variances across studies, which indicates that RRTs are not completely under the control of the researcher.

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Section: Comparative Studiesmentioning

confidence: 99%

Meta-Analysis of Randomized Response Research

Lensvelt-Mulders¹,

Hox²,

Heijden³

et al. 2005

Sociological Methods & Research

354

347

View full text Add to dashboard Cite

show abstract

“…A critique of rather complex techniques such as RRT or CM is that they require a high level of cognitive effort and might lead to confusion among respondents, especially when they involve physical or digital randomization devices (Umesh and Peterson, 1991;Höglinger et al, 2014). To control for this, our questionnaire included a question that assessed whether respondents understood the CM-mechanism and that it protected their privacy.…”

Section: Complexity Of CMmentioning

confidence: 99%

Applying 'Benford's Law' to the Crosswise Model: Findings from an Online Survey on Tax Evasion

Kundt

2014

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Applying "Benford's law" to the Crosswise Model: Findings from an online survey on tax evasion Terms of use: Documents in THORBEN KUNDT Zusammenfassung/ AbstractMany surveys on sensitive topics such as tax evasion suffer from the reluctance of respondents to provide truthful answers which can cause downward-biased estimates. This paper addresses this problem by making use of a recent survey method (Crosswise Model) designed to provide positive incentives for respondents to answer sensitive questions more truthful. We extend the Crosswise Model by applying the so-called "Benford Illusion" which allows us to increase the precision of the Crosswise Model that is less statistically efficient than other methods. To test the effectiveness of the model in providing privacy protection, we carried out an online survey in which the respondents were randomly allocated into two splits differing only by the questioning technique applied. Our results suggest that the Crosswise Model can help to increase privacy protection compared to a simple direct questioning approach. As a consequence, survey estimates of tax evasion using the Crosswise Model are likely to become more valid. At the same time, we show that were able to obtain an efficient estimator without substantially decreasing privacy protection, even for a relatively small sample size.

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“…Thus the respondent's privacy is protected, yet for the sample the probability of hard drug use can be estimated. Since Warner many different (in particular, more efficient) randomized response designs have been developed; see Chaudhuri and Mukerjee (1988) and Umesh and Peterson (1991) for a good overview.…”

Section: Introductionmentioning

confidence: 99%

A Validation of a Computer-Assisted Randomized Response Survey to Estimate the Prevalence of Fraud in Social Security

Lensvelt-Mulders

Heijden

Laudy

et al. 2006

Journal of the Royal Statistical Society Series A: Statistics in Society

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In the Netherlands, there is a research tradition that measures fraud against regulations by interviewing eligible individuals using a survey. In these studies the sensitive questions about fraud are posed by using a randomized response method. The paper describes the results of a Dutch study into the consequences of replacing home interviews by trained interviewers with Internet-delivered interviews in a survey on fraud in the area of disability benefits. Both surveys used computer-assisted self-interviews with randomized response questions. This study has three goals: first to present the research tradition that makes use of randomized response, second to compare the results of home interviews and the Internet survey and finally to introduce an adapted weighted logistic regression method to test the relationship between the probability of fraud and explanatory variables. The results show that there are no systematic differences between modes of interview, either for estimates of the prevalence of fraud or for the identification of associated variables. These outcomes result in the conclusion that the Internet survey is a useful and cost-effective instrument for measuring fraud in a population, and that it is unlikely that replacing home interviews with the Internet survey will result in a significant break with tradition. Copyright 2006 Royal Statistical Society.

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A Critical Evaluation of the Randomized Response Method

Cited by 81 publications

References 53 publications

Meta-Analysis of Randomized Response Research

Meta-Analysis of Randomized Response Research

Applying 'Benford's Law' to the Crosswise Model: Findings from an Online Survey on Tax Evasion

A Validation of a Computer-Assisted Randomized Response Survey to Estimate the Prevalence of Fraud in Social Security

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