scholarly journals Characterizing noncompliance in conservation: a multidimensional Randomized Response Technique for multinomial responses

2018 ◽  
Author(s):  
Jacopo Cerri ◽  
Lapo Scuffi ◽  
Annamaria Nocita ◽  
Marco Zaccaroni ◽  
Andrea Lenuzza ◽  
...  
Keyword(s):  
Forced Response ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Rule Violation ◽  
Future Studies ◽  
Operational Code ◽  
Questioning Techniques ◽  
Multinomial Responses ◽  
Freshwater Bodies ◽  
European Catfish

Rule violation is critical for biological conservation worldwide. Conventional questionnaires are not suitable to survey these violations and specialized questioning techniques that preserve respondents’ privacy, like the forced-response RRT, have been increasingly adopted by conservationists. However, most of these approaches do not measure multinomial answers and conservationists need a specialized questioning technique for real-world settings where non-compliance could occur in different forms. We developed a multidimensional, statistically-efficient, RRT which is suitable for multinomial answers (mRRT) and which allows researchers to test for respondents’ noncompliance during completion. Then, we applied it to measure the frequency of the various forms of illegal restocking of European catfish from specialized anglers in Italy, developing an operational code for the statistical software R. A total of 75 questionnaires were administered at a large fishing fair in Northern Italy, in winter 2018. Our questionnaires were easily compiled and the multinomial model revealed that around 6% of respondents had moved catfish across public freshwater bodies and private ponds. Future studies should better address their characteristics, and the mRRT could allow for modeling the effect of co-variates over restocking behavior. The multinomial mRRT could be adopted to measure many forms of rule violation in conservation that could take different forms, like various forms of fish restocking or different modes of wildlife persecution.

scholarly journals Use of Specialized Questioning Techniques to Detect Decline in Giraffe Meat Consumption

2020 ◽  
Author(s):  
Kirstie A. Ruppert ◽  
Carly C. Sponarski ◽  
Elizabeth Davis ◽  
Symon Masiaine ◽  
Lexson Larpei ◽  
...  
Keyword(s):  
Community Outreach ◽  
Meat Consumption ◽  
Ecological Monitoring ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Community Based ◽  
Human Behaviors ◽  
Questioning Techniques ◽  
Two Samples ◽  
Reported Data

Biodiversity conservation depends on influencing human behaviors, but when activities are illegal or otherwise sensitive, actors can be hesitant to admit engagement with illicit behaviors. We applied Specialized Questioning Techniques (SQT) to estimate and compare behavioral prevalence of giraffe meat consumption between direct questioning and two SQTs, Randomized Response Technique (RRT) and Unmatched Count Technique (UCT), from 2017 to 2019. Comparisons between the two samples yielded significant differences across all three methods, with confidence intervals distinctly divergent between years. The significant disparity between the two samples for all three methods suggests that there was a true reduction in giraffe meat usage from 2017 to 2019. A key change in the study area between the two time periods was the introduction of a community-based program for giraffe conservation. Primary program activities, including ecological monitoring, community outreach and education, and collaboration with wildlife security teams, align with other conservation programs that have demonstrated reduced poaching pressures. This study demonstrates an application of SQTs to detect a decline of giraffe meat consumption, providing an alternative to self-reported data for monitoring sensitive behaviors related to direct exploitation and illegal uses of wildlife.

Item Count Technique in Ranked Set Sampling

2022 ◽  
pp. 26-41
Author(s):  
Beatriz Cobo ◽  
Elvira Pelle
Keyword(s):  
Simulation Study ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Ranked Set Sampling ◽  
Alternative Methods ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Sampling Without Replacement ◽  
Questioning Techniques ◽  
Item Count Technique

In situations where the estimation of the proportion of sensitive variables relies on the observations of real measurements that are difficult to obtain, there is a need to combine indirect questioning techniques. In the present work, the authors will focus on the item count technique, with alternative methods of sampling, such as the ranked set sampling. They are based on the idea proposed by Santiago et al., which combines the randomized response technique proposed by Warner together with ranked set sampling. The authors will carry out a simulation study to compare the item count technique under ranked set sampling and under simple random sampling without replacement.

Applicants’ Self-Presentational Behavior

2012 ◽  
Vol 11 (2) ◽  
pp. 77-85 ◽  
Author(s):  
Anne Jansen ◽  
Cornelius J. König ◽  
Eveline H. Stadelmann ◽  
Martin Kleinmann
Keyword(s):  
Personnel Selection ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Self Presentation ◽  
Actual Use

This study contributes to the literature on self-presentation by comparing recruiters’ expectations about applicants’ self-presentational behaviors in personnel selection settings to applicants’ actual use of these behaviors. Recruiters (N = 51) rated the perceived appropriateness of 24 self-presentational behaviors. In addition, the prevalence of these behaviors was separately assessed in two subsamples of applicants (N1 = 416 and N2 = 88) with the randomized response technique. In line with the script concept, the results revealed that recruiters similarly evaluated the appropriateness of specific self-presentational behaviors and that applicants’ general use of these behaviors corresponded to recruiters’ shared expectations. The findings indicate that applicants who use strategic self-presentational behaviors may just be trying to fulfill situational requirements.

Hybrid tripartite randomized response technique

2017 ◽  
Vol 46 (23) ◽  
pp. 11756-11763 ◽  
Author(s):  
Femi B. Adebola ◽  
Adedamola A. Adediran ◽  
Olusegun S. Ewemooje
Keyword(s):  
Randomized Response Technique ◽  
Randomized Response

Estimating illicit drug use through telephone interviews and the randomized response technique

1986 ◽  
Vol 18 (3) ◽  
pp. 225-233 ◽  
Author(s):  
Arlene N. Weissman ◽  
Robert A. Steer ◽  
Douglas S. Lipton
Keyword(s):  
Drug Use ◽  
Illicit Drug ◽  
Illicit Drug Use ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Telephone Interviews

scholarly journals Examining conservation compliance with randomized response technique analyses

2018 ◽  
Vol 32 (6) ◽  
pp. 1448-1456 ◽  
Author(s):  
Charlotte H. Chang ◽  
Maarten J. L. F. Cruyff ◽  
Xingli Giam
Keyword(s):  
Randomized Response Technique ◽  
Randomized Response

A note on the randomized response technique

1977 ◽  
Vol 6 (15) ◽  
pp. 1525-1529 ◽  
Author(s):  
Jay L. Devore
Keyword(s):  
Randomized Response Technique ◽  
Randomized Response

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.

Making the Randomized Response Technique Work

1976 ◽  
Vol 40 (4) ◽  
pp. 531 ◽  
Author(s):  
S. M. Zdep ◽  
Isabelle N. Rhodes
Keyword(s):  
Randomized Response Technique ◽  
Randomized Response
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