1King Abdulaziz University, Faculty of Sciences, Department of Statistics, Jeddah, Kingdom of Saudi Arabia. Quaid-I-Azam University, Department of Statistics, Islamabad, Pakistan. Professor. Email: zhlangah@yahoo.com
2Quaid-I-Azam University, Department of Statistics, Islamabad, Pakistan. Professor. Email: alishah_ejaz@yahoo.com
3Quaid-I-Azam University, Department of Statistics, Islamabad, Pakistan. Professor. Email: jsqau@yahoo.com ]]>
The present study is basically meant to propose an improved item count technique which will mainly have an impact on sensitive fields such as health care. It is attempted to highlight the scope of the proposal relative to the usual and existing methods serving the same purpose. The proposed improved Item Count Technique (ICT) has the major advantage that it does not require two subsamples (as is the case in usual ICT) and there is no need of finding optimum subsample sizes. The proposed ICT has been observed performing well, as compared to the usual ICT, in terms of relative efficiency. The innovative method of Randomized Response (RR) technique has also been compared with the proposed ICT and it is found that the proposed technique uniformly performs better when the number of innocuous items is greater than 3.
Key words: Health surveys, Privacy, Proportion estimation, Randomized response, Sensitive question.
El presente articulo propone una técnica de conteo de items con aplicaciones principalmente en el campo de la salud. Se muestran las ventajas de nuestra propuesta y de otros métodos que sirven con el mismo fin. La técnica de conteo de ítems propuesta (ICT, por su sigla en inglés) tiene la ventaja de que no requiere dos submuestras (como es el caso en el ICT clásico) y no es necesario de encontrar los tamaños de las submuestras óptimos. El ICT propuesto tiene un mejor comportamiento en términos de eficiencia relativa. El método de la técnica de respuesta aleatorizada (RR, por su sigla en inglés) es también comparado con el ICT propuesto y se encuentra que la técnica propuesta se desempeña mejor cuando el número de ítems inocuos es mayor de 3.
Palabras clave: encuestas de salud, estimación de la proporción, preguntas sensibles, privacidad, respuesta al azar.
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1. Ahart, A. M. & Sackett, P. R. (2004), 'A new method for examining relationships between individual difference measures and sensitive behavior criteria: evaluating the unmatched count technique', Organizational Research Methods 7(1), 101-114. [ Links ]
2. Biemer, P. P. & Wright, D. (2004), Estimating cocaine use using the item count methodology, 'Preliminary results form the national Survey on drug use and Health', Annual meeting of the American Association for Public Opinion research, Phoenix, Arizona. [ Links ]
3. Bjorner, J. B., Kosinski, M. & Ware, J. E. (2003), 'Using item response theory to calibrate the headache impact test (hit^TM) to the metric of traditional headache scales', Quality of Life Research 12, 981-1002. [ Links ]
4. Bonetti, P. O., Waeckerlin, A., Schuepfer, G. & Frutiger, A. (2000), 'Improving time-sensitive processes in the intensive care unit: The example of 'door-to-needle time' in acute myocardial infarction', International Journal for Quality in Health Care 12(4), 311-317. [ Links ]
5. Chaudhuri, A. & Christofides, T. C. (2007), 'Item count technique in estimating the proportion of people with a sensitive feature', Journal of Statistical Planning and Inference 137(2), 589-593. [ Links ]
6. Chaudhuri, A. & Mukherjee, R. (1988), Randomized Response: Theory and Methods, Marcel-Decker, New York. [ Links ]
7. Dalton, D. R. & Metzger, M. (1992), 'Integrity testing for personal selection: an unsparing perspective', Journal of Business Ethics 12, 147-156. [ Links ]
8. Dalton, D. R., Wimbush, J. C. & Daily, C. M. (1994), 'Using the unmatched count technique (uct) to estimate the base rates for sensitive behavior', Personnel Psychology 47, 817-828. [ Links ]
9. Droitcour, J. A., Caspar, R. A., Hubbard, M. L., Parsley, T. L., Visscher, W. & Ezzati, T. M. (1991), The item count technique as a method of indirect questioning: A review of its development and a case study application, 'Measurement Errors in Serveys', Wiley, New York. [ Links ]
10. Droitcour, J. A. & Larson, E. M. (2002), 'An innovative technique for asking sensitive questions: The three card method', Sociological Methodological Bulletin 75, 5-23. [ Links ]
11. Droitcour, J. A., Larson, E. M. & Scheuren, F. J. (2001), The three card method: estimating sensitive survey items with permanent anonymity of response, 'Proceedings of the Social Statistics Section', American Statistical Association, , , Alexandria, Virginia. [ Links ]
12. Geurts, M. D. (1980), 'Using a randomized response design to eliminate non-response and response biases in business research', Journal of the Academy of Marketing Science 8, 83-91. [ Links ]
13. Hubbard, M. L., Casper, R. A. & Lessler, J. T. (1989), Respondents' reactions to item count lists and randomized response, 'Proceedings of the Survey Research Section', American Statistical Association, , , Washington, D. C., p. 544-448. [ Links ]
14. Larkins, E. R., Hume, E. C. & Garcha, B. S. (1997), 'Validity of randomized response method in tax ethics research', Journal of the Applied Business Research 13, 25-32. [ Links ]
15. Liu, P. T. & Chow, L. P. (1976), 'A new discrete quantitative randomized response model', Journal of the American Statistical Association 71, 72-73. [ Links ]
16. Martin, M., Kosinski, M., Bjorner, J. B., Ware, J. E. & MacLean, R. (2007), 'Item response theory methods can improve the measurement of physical function by combining the modified health assessment questionnaire and the SF-36 physical function scale', Quality of Life Research 16, 647-660. [ Links ]
17. Miller, J. D. (1985), 'The nominative technique: a new method of estimating heroin prevalence', NIDA Research Monograph 54, 104-124. [ Links ]
18. Reinmuth, J. E. & Geurts, M. D. (1975), 'The collection of sensitive information using a two stage randomized response model', Journal of Marketing Research 12, 402-407. [ Links ]
19. Tracy, D. & Mangat, N. (1996), 'Some development in randomized response sampling during the last decade-a follow up of review by Chaudhuri and Mukerjee', Journal of Applied Statistical Science 4, 533-544. [ Links ]
20. Tsuchiya, T. (2005), 'Domain estimators for the item count technique', Survey Methodology 31, 41-51. [ Links ]
21. Tsuchiya, T., Hirai, Y. & Ono, S. (2007), 'A study of the properties of the item count technique', Public Opinion Quarterly 71, 253-272. [ Links ]
22. Warner, S. L. (1965), 'Randomized response: A survey technique for eliminating evasive answer bias', Journal of the American Statistical Association 60, 63-69. [ Links ]
23. Wimbush, J. C. & Dalton, D. R. (1997), 'Base rate for employee theft: Convergence of multiple methods', Journal of Applied Psychology 82, 756-763. [ Links ]
Este artículo se puede citar en LaTeX utilizando la siguiente referencia bibliográfica de BibTeX:
@ARTICLE{RCEv35n1a03,
AUTHOR = {Hussain, Zawar and Shah, Ejaz Ali and Shabbir, Javid},
TITLE = {{An Alternative Item Count Technique in Sensitive Surveys}},
JOURNAL = {Revista Colombiana de Estadística},
YEAR = {2012}, ]]>
volume = {35},
number = {1},
pages = {39-54}
}