- Title
- Limitations of the random response technique and a call to implement the ballot box method for estimating recreational angler compliance using surveys:
- Creator
- Bova, Christopher S
- Creator
- Aswani, Shankar
- Creator
- Farthing, Matthew W
- Creator
- Potts, Warren M
- Date Issued
- 2018
- Date
- 2018
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/145359
- Identifier
- vital:38431
- Identifier
- DOI: 10.1016/j.fishres.2018.06.017
- Description
- Accurate estimation of the levels of non-compliance to fishing regulations is crucial in ensuring that long term sustainability goals of fisheries are met. When requesting information regarding sensitive behaviour, such as an angler’s non-compliance to regulations through direct questioning methods (DQM), their responses can be influenced by social desirability bias (SDB). Literature in human dimensions research on methods for controlling this bias is limited. There has been an emerging prevalence in the use of the random response technique (RRT), which is a method aimed at reducing SDB in questions regarding sensitive behaviour, although it has never been validated against observed data in an environmental resource use context. An alternative to the RRT, the use of a ballot box method (BBM) has been successfully implemented to reduce SDB in contingent valuation studies and is introduced in this paper as a method for reducing SDB in face-to-face survey responses regarding sensitive behaviour.
- Format
- 8 pages
- Format
- Language
- English
- Relation
- Fisheries research
- Relation
- Bova, C.S., Aswani, S., Farthing, M.W. and Potts, W.M., 2018. Limitations of the random response technique and a call to implement the ballot box method for estimating recreational angler compliance using surveys. Fisheries Research, 208, pp.34-41.
- Relation
- Fisheries research volume 208 number 34 41 June 2018 0165-7836
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the Science Direct Terms and Conditions Statement (https://www.elsevier.com/legal/elsevier-website-terms-and-conditions)
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