Comparative Appraisal of Randomized Response Technique vs. Direct Interview Method in Assessment of Burden of Tobacco and Alcohol Use among Adolescents Comparative Appraisal of Randomized Response Technique vs. Direct Interview Method

Main Article Content

Ashish Datt Upadhyay
Sada Nand Dwivedi
Anju Dhawan
V Sreenivas

Abstract

In countries like India, the major source of error in reporting of sensitive events (e.g., tobacco and alcohol use) among adolescents is deliberate misreporting. To estimate its burden, the commonly used direct interview method involves problems in reporting.  To cope up, randomized response technique (RRT) is an alternative approach which uses a random device for providing more privacy to respondents. So, it may be worthwhile to compare RRT with direct interview method in assessment of burden of ever tobacco and alcohol use among Indian adolescents.  A cross-sectional survey on ever tobacco and alcohol use among adolescents was conducted on 796 students of 9th to 12th class (401: RRT; 395: Direct interview) from conveniently selected three schools of Delhi/National Capital Region, during November-2014 to November-2016.  As per conventional use of RRT, two types of questions, one related to “sensitive attribute” and other “an unrelated question” was used to estimate ever tobacco and alcohol use. For the first time, a new random device (i.e., randomly arranged questionnaires) was proposed and used under RRT which is user friendly and appropriate for time-bound application. For comparison, the estimates of both, ever tobacco use and ever alcohol use, were obtained which could also facilitate comparative change in effect size with increasing sensitivity. The prevalence of ever tobacco use under RRT approach and Direct Interview method was 18.6% (95% CI: 13.33-24.01) and 10.1% (95% CI: 7.15-13.10) respectively, where as that of ever alcohol use was 22.8% (95%CI: 17.08-28.5) and 9.1% (95% CI: 6.27-11.95) respectively. Further, comparative results showed that as contents in used substance become more sensitive, under estimation of burden under direct interview method may become higher [i.e., Ever tobacco use: 8.5% (95% CI: 3.43-13.65); Ever alcohol use: 13.6% (95% CI: 8.34-19.03)]. The proposed new random device under RRT, as a set of randomly arranged questionnaires containing either sensitive or unrelated questions, consists of most of its recommended properties.   The findings under the present study suggest that the randomized response technique may serve as a versatile method for gaining access to more accurate information on sensitive topics.

Downloads

Download data is not yet available.

Article Details

How to Cite
Upadhyay, A. D., Dwivedi, S. N., Dhawan, A., & Sreenivas, V. (2025). Comparative Appraisal of Randomized Response Technique vs. Direct Interview Method in Assessment of Burden of Tobacco and Alcohol Use among Adolescents: Comparative Appraisal of Randomized Response Technique vs. Direct Interview Method. Central India Journal of Medical Research. Retrieved from https://cijmr.com/index.php/cijmr/article/view/249
Section
Original Research Articles

References

Kandel, DB. Drug and Drinking Behavior Among Youth. Annual Review of Sociology. 1980; 6, 235–285. https://doi.org/10.1146/annurev.so.06.080180.001315

Wolter, F, Preisendörfer, P. Asking Sensitive Questions: An Evaluation of the Randomized Response Technique Versus Direct Questioning Using Individual Validation Data. Sociological Methods & Research. 2013; 42, 321–353.

Warner, SL. Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association. 1965; 60: 63–69.

Engel, U, Jann, B, Lynn, P, Scherpenzeel, A, Sturgis, PJ. Improving survey methods: lessons from recent research. 2015. Page 108, Available from: http://public.eblib.com/choice/publicfullrecord.aspx?p=1775347.

Barth, JT, Sandler, HM. Evaluation of the randomized response technique in a drinking survey. Journal of Studies on Alcohol. 1976; 37: 690–693.

Volicer, BJ, Cahill, MH, Neuburger, E, Arntz, G. Randomized Response Estimates of Problem Use of Alcohol among Employed Females. Alcoholism: Clinical and Experimental Research. 1983; 7: 321–326.

Striegel, H, Ulrich, R, Simon, P. Randomized response estimates for doping and illicit drug use in elite athletes. Drug and Alcohol Dependence. 2010; 106: 230–232.

Fisher, M, Kupferman, LB. Lesser, M. Substance use in a school-based clinic population: Use of the randomized response technique to estimate prevalence. Journal of Adolescent Health. 1992; 13: 281–285.

Greenberg, BG, Abul-Ela, ALA, Simmons, WR, Horvitz, DG. The Unrelated Question Randomized Response Model: Theoretical Framework. Journal of the American Statistical Association. 1969; 64: 520-539.

Horvitz, DG, Shah, BV, Simmons, WR. “The unrelated question randomized response model,” Social Statistics Section Proceedings of the American Statistical Association, 1967; 65-72.

Moors, JJA. Optimization of the Unrelated Question Randomized Response Model. Journal of the American Statistical Association. 1971; 66: 627-629.

International Institute for Population Sciences (IIPS), Macro International. National Family Health Survey (NFHS-3), 2005–06: India: Volume I & Volume II Mumbai: IIPS. 2007; http://rchiips.org/nfhs/NFHS-3%20Data/VOL1/India_volume_I_corrected_17oct08.pdf

Ostapczuk, M, Musch, J, Moshagen, M. A randomized-response investigation of the education effect in attitudes towards foreigners. European Journal of Social Psychology. 2009; 39: 920–931.

Lensvelt-Mulders GJ, Hox JJ, Van der Heijden PG, Maas CJ. Meta-analysis of randomized response research: Thirty-five years of validation. Sociological Methods & Research.2005; 33(3): 319–348.