Analiza własności nowo zaproponowanej techniki nierandomizowanych odpowiedzi

Autor

DOI:

https://doi.org/10.18778/0208-6018.358.01

Słowa kluczowe:

ankietowanie pośrednie, pytania drażliwe, techniki nierandomizowanych odpowiedzi, model krzyżowy, estymacja NW, stopień ochrony prywatności

Abstrakt

Techniki nierandomizowanych odpowiedzi to nowoczesne i stale rozwijające się metody przeznaczone do radzenia sobie z tematami drażliwymi, takimi jak oszustwa podatkowe, czarny rynek, korupcja itp. W artykule zaproponowano nową technikę nierandomizowanych odpowiedzi, którą można traktować jako uogólnienie znanego modelu krzyżowego. Przedstawiono metodykę nowego uogólnionego modelu krzyżowego oraz podano estymator największej wiary­godności dla nieznanej populacyjnej frakcji cechy drażliwej. Omówiono również problem ochrony prywatności. Przeanalizowano własności nowo zaproponowanego modelu, a następnie porównano go z tradycyjnym modelem krzyżowym. Pokazano, że klasyczny model krzyżowy jest specjalnym przypadkiem zaproponowanego modelu uogólnionego. Wykazano również, że to uogólnienie ma duże znaczenie dla praktyki.

Pobrania

Brak dostępnych danych do wyświetlenia.

Bibliografia

Abdelfatah S., Mazloum R. (2015), Efficient estimation in a two‑stage randomized response model, “Mathematical Population Studies”, vol. 22, pp. 234–251.
Google Scholar DOI: https://doi.org/10.1080/08898480.2014.953897

Arnab R., Shangodoyin D. K., Arcos A. (2019), Nonrandomized Response model for Complex Survey Designs, “Statistics in Transition New Series”, vol. 20, pp. 67–86.
Google Scholar DOI: https://doi.org/10.21307/stattrans-2019-004

Batool F., Shabbir J., Hussain Z. (2017), An improved binary randomized response model using six decks of cards, “Communications in Statistics – Simulation and Computation”, vol. 46, pp. 2548–2562.
Google Scholar DOI: https://doi.org/10.1080/03610918.2015.1053922

Blair G., Imai K., Zhou Y.‑Y. (2015), Design and Analysis of the Randomized Response Technique, “Journal of the American Statistical Association”, vol. 110, pp. 1304–1319.
Google Scholar DOI: https://doi.org/10.1080/01621459.2015.1050028

Boruch R. F. (1971), Assuring Confidentiality of Responses in Social Research: A Note on Strategies, “American Sociologist”, vol. 6, pp. 308–311.
Google Scholar

Chong A. C.Y., Chu A. M.Y, So M. K.P, Chung R. S.W. (2019), Asking Sensitive Questions Using the Randomized Response Approach in Public Health Research: An Empirical Study on the Factors of Illegal Waste Disposal, “International Journal of Environmental Research and Public Health”, vol. 16(6), https://www.researchgate.net/publication/331848508_Asking_Sensitive_Questions_Using_the_Randomized_Response_Approach_in_Public_Health_Research_An_Empirical_Study_on_the_Factors_of_Illegal_Waste_Disposal (accessed: 4.01.2022).
Google Scholar DOI: https://doi.org/10.3390/ijerph16060970

Chu A. M.Y., So M. K.P., Chung R. S.W. (2018), Applying the Randomized Response Technique in Business Ethics Research: The Misuse of Information Systems Resources in the Workplace, “Journal of Business Ethics”, vol. 151, pp. 195–212.
Google Scholar DOI: https://doi.org/10.1007/s10551-016-3240-5

Coutts E., Jann B. (2011), Sensitive questions in online surveys: Experimental results for the randomized response technique (RRT) and the unmatched count technique (UCT), “Sociological Methods & Research”, vol. 40, pp. 169–193.
Google Scholar DOI: https://doi.org/10.1177/0049124110390768

Erdmann A. (2019), Non‑Randomized Response Models: An Experimental Application of the Triangular Model as an Indirect Questioning Method for Sensitive Topics, “Methods, Data, Analyses”, vol. 13, pp. 139–167.
Google Scholar

Fox J. A., Tracy P. E. (1986), Randomised Response: A Method for Sensitive Surveys, Sage Publications, Beverly Hills.
Google Scholar

Gingerich D. W. (2010), Understanding Off‑The‑Books Politics: Conducting Inference on the Determinants of Sensitive Behavior with Randomized Response Surveys, “Political Analysis”, vol. 18, pp. 349–380.
Google Scholar DOI: https://doi.org/10.1093/pan/mpq010

Greenberg B. G., Abul‑Ela A.‑L. A., Horvitz D. G. (1969), The Unrelated Question Randomized Response Model: Theoretical Framework, “Journal of the American Statistical Association”, vol. 64, pp. 520–539.
Google Scholar DOI: https://doi.org/10.1080/01621459.1969.10500991

Groenitz H. (2014), A new privacy‑protecting survey design for multichotomous sensitive variables, “Metrika”, vol. 77, pp. 211–224.
Google Scholar DOI: https://doi.org/10.1007/s00184-012-0406-8

Hoffmann A., Musch J. (2019), Prejudice against women leaders: Insights from an indirect questioning approach, “Sex Roles”, vol. 80, pp. 681–692.
Google Scholar DOI: https://doi.org/10.1007/s11199-018-0969-6

Hoffmann A., Meisters J., Musch J. (2020), On the validity of non‑randomized response techniques: an experimental comparison of the crosswise model and the triangular model, “Behavior Research”, vol. 52, pp. 1768–1782.
Google Scholar DOI: https://doi.org/10.3758/s13428-020-01349-9

Johann D., Thomas K. (2017), Testing the Validity of the Crosswise Model: A Study on Attitudes Towards Muslims Survey Methods: Insights from the Field, https://surveyinsights.org/?p=8887 (accessed: 4.01.2022).
Google Scholar

Khalil S., Zhang Q., Gupta S. (2021), Mean estimation of sensitive variables under measurement errors using optional RRT models, “Communications in Statistics – Simulation and Computation”, vol. 50, pp. 1417–1426.
Google Scholar DOI: https://doi.org/10.1080/03610918.2019.1584298

Korndörfer M., Krumpal I., Schmukle S. C. (2014), Measuring and explaining tax evasion: Improving self‑reports using the crosswise model, “Journal of Economic Psychology”, vol. 45, pp. 18–32.
Google Scholar DOI: https://doi.org/10.1016/j.joep.2014.08.001

Leslie K. J., Loewenstein G. F., Acquisti A., Vosgerau J. (2018), When and Why Randomized Response Techniques (Fail To) Elicit the Truth, “Organizational Behavior and Human Decision Processes”, vol. 148(C), pp. 101–123.
Google Scholar DOI: https://doi.org/10.1016/j.obhdp.2018.07.004

Rueda M. M., Cobo B., López‑Torrecillas F. (2020), Measuring Inappropriate Sexual Behavior Among University Students: Using the Randomized Response Technique to Enhance Self‑Reporting, “Sex Abuse”, vol. 32, pp. 320–334.
Google Scholar DOI: https://doi.org/10.1177/1079063219825872

Tian G. L. (2014), A new non‑randomized response model: The parallel model, “Statistica Neerlandica”, vol. 68, pp. 293–323.
Google Scholar DOI: https://doi.org/10.1111/stan.12034

Vishwakarma G. K., Singh N. (2021), Computing the effect of measurement errors under additive scramble response of the sensitive variable, “Journal of Computational and Applied Mathematics”, vol. 395, 113593.
Google Scholar DOI: https://doi.org/10.1016/j.cam.2021.113593

Warner S. L. (1965), Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias, “Journal of the American Statistical Association”, vol. 60, pp. 63–69.
Google Scholar DOI: https://doi.org/10.1080/01621459.1965.10480775

Wolter F., Preisendörfer P. (2013), Asking sensitive questions: An evaluation of the randomized response technique versus direct questioning using individual validation data, “Sociological Methods & Research”, vol. 42, pp. 321–353.
Google Scholar DOI: https://doi.org/10.1177/0049124113500474

Wu Q., Tang M. L. (2016), Non‑randomized response model for sensitive survey with noncompliance, “Statistical Methods in Medical Research”, vol. 25, pp. 2827–2839.
Google Scholar DOI: https://doi.org/10.1177/0962280214533022

Yu J. W., Tian G. L., Tang M. L. (2008), Two new models for survey sampling with sensitive characteristic: Design and analysis, “Metrika”, vol. 67, pp. 251–263.
Google Scholar DOI: https://doi.org/10.1007/s00184-007-0131-x

Opublikowane

2022-07-12

Jak cytować

Kowalczyk, B. (2022). Analiza własności nowo zaproponowanej techniki nierandomizowanych odpowiedzi. Acta Universitatis Lodziensis. Folia Oeconomica, 1(358), 1–13. https://doi.org/10.18778/0208-6018.358.01

Numer

Dział

Artykuł

Podobne artykuły

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 > >> 

Możesz również Rozpocznij zaawansowane wyszukiwanie podobieństw dla tego artykułu.