Abstract
Marine product collecting permits are useful management tools for providing information on usage patterns. Unfortunately, usage parameters based on permit issuance are invariably inaccurate because of permit noncompliance. Since noncompliance is a prosecutable offense, any attempt to estimate the rate of noncompliance by direct survey techniques is met with misleading and evasive responses. It has been shown elsewhere that randomized response designs reduce survey response bias to incriminating questions by ensuring respondent anonymity. With the use of the randomized response survey technique, estimates of permit noncompliance were determined for the Capricornia Section of the Great Barrier Reef Marine Park. Noncompliance with the requirement to obtain the prescribed permit was found to be low whereas, once a permit was obtained, noncompliance with specific permit conditions was considered high. Reasons for the high rate of noncompliance with specific conditions are presented, and it is recommended that marine park managers should not unreservedly base management decisions on usage data derived simply from permit issuance.
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Literature cited
Abernathy, J. R., B. D. Greenberg, and D. G. Horvitz. 1970. Estimates of induced abortion in urban North Carolina.Demography 7:19–29.
Barth, J. D., and H. M. Sandler. 1976. Evaluation of the randomized response technique in a drinking survey.Journal for the Study of Alcohol 37:690–693.
Boruch, R. F. 1972. Relations among statistical methods for assuring confidentiality of social research data.Social Science Research 1:403–414.
Cochran, W. G. 1977.Sampling techniques, 3rd edn. John Wiley and Sons. New York. 350 pp.
Dowling, T. A., and R. H. Shachtman. 1975. On the relative efficiency of randomized response models.Journal of the American Statistical Association 70:84–87.
Ericksson, S. A. 1973. A new model for randomized response.International Statistics Review 41:101–113.
Goodstadt, M. S., and V. Gruson. 1975. The randomized response technique: a test on drug use.Journal of the American Statistical Association 70:814–818.
Greenberg, B. G., Abdel-Latif A. Abul-Ela, W. R. Simmons, and D. G. Horvitz. 1969. The unrelated question randomized response model: theoretical framework.Journal of the American Statistical Association 64:520–539.
Greenberg, B. G., R. R. Kuebler, J. R. Abernathy, and D. G. Horvitz. 1971. Application of the randomized response technique in obtaining quantitative data.Journal of the American Statistical Association 66:243–250.
Horvitz, D. G., B. G. Greenberg, and J. R. Abernathy. 1975. Recent developments in randomized response designs. Pages 271–285 in J. N. Srivastava (ed.), A survey of statistical design and linear models. North-Holland, The Netherlands.
Horvitz, D. G, B. V. Shah, and W. R. Simmons. 1967. The unrelated randomized response model.Social Statistical Section, Proceedings of the American Statistical Association Washington DC 65–72.
Johnson, N. L., and S. Kotz. 1977. Urn models and their application: an approach to modern discrete probability theory. John Wiley and Sons, New York. 402 pp.
Leysieffer, F. W., and S. L. Warner. 1976. Respondent jeopardy and optimal designs in randomized response models.Journal of the American Statistical Association 71:649–656.
Liu, P. T., and L. P. Chow. 1976a. A new discrete quantitative randomized response model.Journal of the American Statistical Association 71:72–73.
Liu, P. T., and L. P. Chow. 1976b. The efficiency of the multiple trail randomized response technique.Biometrics 32:607–618.
Moors, J. J. A. 1971. Optimization of the unrelated question randomized response model.Journal of the American Statistical Association 66:627–629.
Mullenix, P. 1981. Randomized response technique: getting in touch with touchy questions.Undergraduate Mathematics and Its Application Project Journal 11:28–51.
Pollock, K. H., and Y. Bek. 1976. A comparison of three randomized response models for quantitative data.Journal of the American Statistical Association 71:884–886.
Poole, K. E. 1974. Estimation of the distribution function of a continuous type random variable through randomized response.Journal of the American Statistical Association 69:1002–1005.
Shimizu, I. M., and G. S. Bonham. 1978. Randomized response technique in a national survey.Journal of the American Statistical Association 73:35–39.
Warner, S. L. 1965. Randomized response: a survey technique for eliminating evasive answer bias.Journal of the American Statistical Association. 60:63–69.
Warner, S. L. 1971. The linear randomized response model.Journal of the American Statistical Association 66:884–888.
Winkler, R. L., and L. A. Franklin. 1979. Warner's randomized response model: a Bayesian approach.Journal of the American Statistical Association 74:207–214.
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Chaloupka, M.Y. Application of the randomized response technique to marine park management: an assessment of permit compliance. Environmental Management 9, 393–398 (1985). https://doi.org/10.1007/BF01866338
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DOI: https://doi.org/10.1007/BF01866338