Comparison of Data Gathered on Sensitive Questions via Direct Questionnaire, Randomized Response Technique, and a Projective Method

1980 ◽  
Vol 47 (3) ◽  
pp. 743-750 ◽  
Author(s):  
Guy Bégin ◽  
Michel Boivin
Keyword(s):  
Randomized Response Technique ◽  
Randomized Response ◽  
Sensitive Questions ◽  
Projective Method ◽  
Response Data ◽  
The One ◽  
Response Method ◽  
Sensitive Issues

1266 students participated in an interview on sensitive issues. Three very sensitive hypothetical situations were assessed by means of three methods, the direct questionnaire, the randomized-response technique, and a “most people” projective-form questionnaire. The data indicate that the first two methods yielded similar proportions of endorsement. However, the projective method yielded much higher proportions of endorsement. These data indicate that the former two methods seem to assess the same concept which is quite different from the one measured through the projective questionnaire. Since the randomized-response method assures the subjects of the confidentiality of their responses, the authors believe that the direct questionnaire and randomized-response data are closer to reality, that is, more valid.

Estimating the dependence of mixed sensitive response types in randomized response technique

2019 ◽  
Vol 29 (3) ◽  
pp. 894-910 ◽  
Author(s):  
Amanda MY Chu ◽  
Mike KP So ◽  
Thomas WC Chan ◽  
Agnes Tiwari
Keyword(s):  
Simulation Experiment ◽  
Dependence Structure ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Sensitive Questions ◽  
Conditional Mean ◽  
Moment Estimation ◽  
Partial Correlations ◽  
The Moment ◽  
Multiple Sensitive Questions

Sensitive questions are often involved in healthcare or medical survey research. Much empirical evidence has shown that the randomized response technique is useful for the collection of truthful responses. However, few studies have discussed methods to estimate the dependence of sensitive responses of multiple types. This study aims to fill that gap by considering a method based on moment estimation and without using the joint distribution of the responses. In addition to the construction of a covariance matrix for the multiple sensitive questions despite incomplete information due to the randomized response technique design, we can calculate the conditional mean of continuous sensitive responses given as categorical responses and partial correlations among continuous sensitive responses. We conduct a simulation experiment to study the bias and variance of the moment estimator with various sample sizes. We apply the proposed method in a healthcare study of the dependence structure among the responses of a survey concerning health and pressure on college students.

Repeated Cross-Sectional Randomized Response Data

Methodology ◽  
2009 ◽  
Vol 5 (4) ◽  
pp. 145-152 ◽  
Author(s):  
L. E. Frank ◽  
A. van den Hout ◽  
P. G. M. van der Heijden
Keyword(s):  
Data Analysis ◽  
Randomized Response ◽  
Sensitive Questions ◽  
Cross Sectional ◽  
Time Points ◽  
Response Data ◽  
Trend Model ◽  
Interview Technique ◽  
Measure Change

Randomized response (RR) is an interview technique that can be used to protect the privacy of respondents if sensitive questions are posed. This paper explains how to measure change in time if a binary RR question is posed at several time points. In cross-sectional research settings, new insights often gradually emerge. In our setting, a switch to another RR procedure necessitates the development of a trend model that estimates the effect of the covariate time if the dependent variable is measured by different RR designs. We also demonstrate that it is possible to deal with self-protective responses, thus accommodating our trend model with the latest developments in RR data analysis.

The Randomized Response Technique: Using Probability Theory to Ask Sensitive Questions

1980 ◽  
Vol 73 (8) ◽  
pp. 618-627
Author(s):  
William L. Curlette
Keyword(s):  
Probability Theory ◽  
Survey Method ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Sensitive Questions

Some surprising activities and some of the mathematics behind a comparatively new survey method, the randomized response technique.

Towards Candor, Cooperation, & Privacy in Applied Business Ethics Research: The Randomized Response Technique (RRT)

1992 ◽  
Vol 2 (2) ◽  
pp. 207-221 ◽  
Author(s):  
Dan R. Dalton ◽  
Michael B. Metzger
Keyword(s):  
Business Ethics ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Empirical Inquiry ◽  
Ethics Research ◽  
Sensitive Issues

Virtually every empirical inquiry of issues relevant to applied business ethics involves the asking of questions that are sensitive, embarrassing, threatening, stigmatizing, or incriminating. Accordingly, questions of this sort are likely to result in unsatisfactory outcomes: 1) many individuals will not respond; and/or, 2) many individuals will not respond candidly. An obvious objective, then, is to use a method to collect information which increases participation, provides absolute anonymity, and does not jeopardize subjects’ privacy. The randomized response technique (RRT) is a method designed to realize this promise. We provide here an overview of RRT approaches and applications which may be effectively used in empirical examinations of potentially sensitive issues in business ethics.

Comparison of Estimators for Multi-level Randomized Response Data: Evidence from a Case of Sexual Identity

Field Methods ◽  
2020 ◽  
Vol 33 (1) ◽  
pp. 85-103
Author(s):  
Shu-Hui Hsieh ◽  
Martin Tshishimbi Wa Lukusa
Keyword(s):  
Sexual Identity ◽  
Likelihood Method ◽  
Estimation Methods ◽  
Small Samples ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Response Data ◽  
Individual Determinants ◽  
Multi Level

In surveys, proportions of individuals self-reporting as bisexual and homosexual are likely to suffer from misreports or refusal to answer when directly questioned. For more reliable information, the randomized response technique is often used. Therefore, to reduce social desirability bias, a multi-level randomized response technique has been used in Taiwan to collect self-reported sexual identity. Using the Taiwan Social Change Survey as a case study, we estimate proportions of individuals aged 18–54 years self-reporting as bisexual and homosexual. Empirical results show individual determinants of truthful response differ across data collection modes and estimation methods. Moreover, estimated proportions of non-heterosexuals in small samples obtained by the maximum likelihood method are less meaningful and accurate than Bayes ones.

Randomized Response Technique: Applications to Research on Rape

1986 ◽  
Vol 10 (2) ◽  
pp. 119-126 ◽  
Author(s):  
Karen L. Soeken ◽  
Shirley Petchel Damrosch
Keyword(s):  
Nursing Students ◽  
Baccalaureate Nursing ◽  
Baccalaureate Nursing Students ◽  
Accurate Information ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Total N ◽  
The Difference ◽  
Sensitive Issues ◽  
Graduate Nursing

Research on rape is handicapped by a paucity of accurate information on frequency of rape. The randomized response technique (RR), designed to produce reliable information in surveys of sensitive issues, is advocated as a means of uncovering true frequencies. RR surveys were conducted on initial and replication samples of undergraduate baccalaureate nursing students (total n = 292) and 76 graduate nursing students. The estimates of prevalence of rape victimization were 15.1% in the initial and 12.1% in the replication samples, with the difference not significant ( z = 1.25, p > .05). The findings are discussed in the context of results from traditional surveys.

scholarly journals The Validity Of The Randomized Response Method In Tax Ethics Research

2011 ◽  
Vol 13 (3) ◽  
pp. 25 ◽  
Author(s):  
Ernest R. Larkins ◽  
Evelyn C. Hume ◽  
Bikramjit S. Garcha
Keyword(s):  
Tax Compliance ◽  
Survey Questionnaire ◽  
Randomized Response ◽  
Decision Context ◽  
Ethics Research ◽  
Survey Technique ◽  
Response Method ◽  
Response Biases ◽  
Sensitive Issues ◽  
The Given

The survey questionnaire often is used to obtain data in research involving tax compliance and tax ethics issues. The use of the randomized response (RR) survey technique has been suggested for mitigating response and non-response biases in studies regarding sensitive issues. This study compares tax preparer responses using a traditional questionnaire to responses using the RR method. The results indicate that RR does not reduce response or non-response biases in the given decision context. Thus, tax preparers may not be good subjects for a randomized response methodology.

Sign in / Sign up

Export Citation Format

Share Document