scholarly journals Using the Randomized Response Technique to Investigate Illegal Fishing and Contribute to Abalone Management in Northern California

2021 ◽  
Author(s):  
◽  
Sara Grace Blank
Keyword(s):  
Minimum Size ◽  
Northern California ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Haliotis Rufescens ◽  
Illegal Fishing ◽  
Efficient Management ◽  
User Groups ◽  
Survey Responses ◽  
Management Priorities

<p>Illegal fishing has detrimental environmental and social impacts, but these effects are difficult to mitigate without reliable estimates of fisher non-compliance. Methods used by fisheries managers to estimate illegal fishing often require indirect estimation of poaching using biological, economic, or sociological indicators. This study presents a unique application of the randomized response technique (RRT) for direct estimation of non-compliance in the Northern California recreational red abalone (Haliotis rufescens) fishery. Using an anonymous paper-based compliance and sociodemographic survey of recreational fishers in Sonoma and Mendocino Counties, I estimate 29% non-compliance with the daily take limit, 23% with the minimum size limit, 19% with licensing laws, and 15% with the annual take limit and among the general population. No significant relationship between the socio-demographic variables gathered (age, income, county of residence, fishing experience) and RRT survey responses indicates that no clear profile can be ascertained to help identify potential violators. However, visitors have higher non-compliance estimates for all regulations except daily take limits, for which an estimated 72% of locals violate vs. only 18% of visitors. These rule-specific violation estimates allow for the development of efficient management priorities, as managers may target specific measures or user groups. Further research should develop quantitative RRT estimates of illegal take, and explore violation drivers operating within the fisher population.</p>

scholarly journals Using the Randomized Response Technique to Investigate Illegal Fishing and Contribute to Abalone Management in Northern California

2021 ◽  
Author(s):  
◽  
Sara Grace Blank
Keyword(s):  
Minimum Size ◽  
Northern California ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Haliotis Rufescens ◽  
Illegal Fishing ◽  
Efficient Management ◽  
User Groups ◽  
Survey Responses ◽  
Management Priorities

<p>Illegal fishing has detrimental environmental and social impacts, but these effects are difficult to mitigate without reliable estimates of fisher non-compliance. Methods used by fisheries managers to estimate illegal fishing often require indirect estimation of poaching using biological, economic, or sociological indicators. This study presents a unique application of the randomized response technique (RRT) for direct estimation of non-compliance in the Northern California recreational red abalone (Haliotis rufescens) fishery. Using an anonymous paper-based compliance and sociodemographic survey of recreational fishers in Sonoma and Mendocino Counties, I estimate 29% non-compliance with the daily take limit, 23% with the minimum size limit, 19% with licensing laws, and 15% with the annual take limit and among the general population. No significant relationship between the socio-demographic variables gathered (age, income, county of residence, fishing experience) and RRT survey responses indicates that no clear profile can be ascertained to help identify potential violators. However, visitors have higher non-compliance estimates for all regulations except daily take limits, for which an estimated 72% of locals violate vs. only 18% of visitors. These rule-specific violation estimates allow for the development of efficient management priorities, as managers may target specific measures or user groups. Further research should develop quantitative RRT estimates of illegal take, and explore violation drivers operating within the fisher population.</p>

The randomized response technique as a tool for estimating non-compliance rates in fisheries: a case study of illegal red abalone (Haliotis rufescens) fishing in Northern California

2009 ◽  
Vol 36 (2) ◽  
pp. 112-119 ◽  
Author(s):  
SARA G. BLANK ◽  
MICHAEL C. GAVIN
Keyword(s):  
Minimum Size ◽  
Sociodemographic Characteristics ◽  
Northern California ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Haliotis Rufescens ◽  
Illegal Fishing ◽  
Red Abalone ◽  
Licensing Laws

SUMMARYIllegal fishing has detrimental environmental and social impacts, but these effects are difficult to mitigate without reliable estimates of fisher non-compliance. Methods used by fisheries managers to estimate illegal fishing often require indirect estimation of poaching using biological, economic or sociological indicators. This study presents a unique application of the randomized response technique (RRT) for direct estimation of non-compliance in fisheries to the Northern California recreational red abalone (Haliotis rufescens) fishery. An anonymous paper-based compliance and sociodemographic survey of recreational fishers in Sonoma and Mendocino Counties estimated 29% non-compliance with the daily take limit, 23% with the minimum size limit, 19% with licensing laws and 15% with the annual take limit. RRT results also indicated how different sociodemographic characteristics related to non-compliance. Visitors had higher non-compliance rates than local fishers for all regulations except daily take limits, which an estimated 72% of locals violated versus 18% of visitors. High fisher awareness of regulations, fisher age, income and fishing experience did not appear to influence illegal take. RRT is a powerful tool which can aid conservation managers in prioritizing action.

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

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

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.

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