Literature DB >> 27480592

Application of randomized response techniques for investigating cannabis use by Spanish university students.

Beatriz Cobo1, Mª Mar Rueda1, Francisca López-Torrecillas2.   

Abstract

Cannabis is the most widely used illicit drug in developed countries, and has a significant impact on mental and physical health in the general population. Although the evaluation of levels of substance use is difficult, a method such as the randomized response technique (RRT), which includes both a personal component and an assurance of confidentiality, provides a combination which can achieve a considerable degree of accuracy. Various RRT surveys have been conducted to measure the prevalence of drug use, but to date no studies have been made of the effectiveness of this approach in surveys with respect to quantitative variables related to drug use. This paper describes a probabilistic, stratified sample of 1146 university students asking sensitive quantitative questions about cannabis use in Spanish universities, conducted using the RRT. On comparing the results of the direct question (DQ) survey and those of the randomized response (RR) survey, we find that the number of cannabis cigarettes consumed during the past year (DQ = 3, RR = 17 approximately), and the number of days when consumption took place (DQ = 1, RR = 7) are much higher with RRT. The advantages of RRT, reported previously and corroborated in our study, make it a useful method for investigating cannabis use.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Keywords:  cannabis consumption; complex surveys; randomized response techniques

Mesh:

Year:  2016        PMID: 27480592      PMCID: PMC6877177          DOI: 10.1002/mpr.1517

Source DB:  PubMed          Journal:  Int J Methods Psychiatr Res        ISSN: 1049-8931            Impact factor:   4.035


  16 in total

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3.  Randomized response estimates for doping and illicit drug use in elite athletes.

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4.  Randomized response estimates for the 12-month prevalence of cognitive-enhancing drug use in university students.

Authors:  Pavel Dietz; Heiko Striegel; Andreas G Franke; Klaus Lieb; Perikles Simon; Rolf Ulrich
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Review 5.  Marijuana: modern medical chimaera.

Authors:  Roland J Lamarine
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6.  Application of randomized response techniques for investigating cannabis use by Spanish university students.

Authors:  Beatriz Cobo; Mª Mar Rueda; Francisca López-Torrecillas
Journal:  Int J Methods Psychiatr Res       Date:  2016-08-02       Impact factor: 4.035

7.  Estimating illicit drug use through telephone interviews and the randomized response technique.

Authors:  A N Weissman; R A Steer; D S Lipton
Journal:  Drug Alcohol Depend       Date:  1986-11       Impact factor: 4.492

8.  Reliability and validity of young adults' anonymous online reports of marijuana use and thoughts about use.

Authors:  Danielle E Ramo; Howard Liu; Judith J Prochaska
Journal:  Psychol Addict Behav       Date:  2011-11-14

9.  Past 15-year trends in adolescent marijuana use: Differences by race/ethnicity and sex.

Authors:  Renee M Johnson; Brian Fairman; Tamika Gilreath; Ziming Xuan; Emily F Rothman; Taylor Parnham; C Debra M Furr-Holden
Journal:  Drug Alcohol Depend       Date:  2015-09-02       Impact factor: 4.492

Review 10.  Short scales to assess cannabis-related problems: a review of psychometric properties.

Authors:  Daniela Piontek; Ludwig Kraus; Danica Klempova
Journal:  Subst Abuse Treat Prev Policy       Date:  2008-12-02
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  4 in total

1.  Application of randomized response techniques for investigating cannabis use by Spanish university students.

Authors:  Beatriz Cobo; Mª Mar Rueda; Francisca López-Torrecillas
Journal:  Int J Methods Psychiatr Res       Date:  2016-08-02       Impact factor: 4.035

Review 2.  Asking sensitive questions in conservation using Randomised Response Techniques.

Authors:  Harriet Ibbett; Julia P G Jones; Freya A V St John
Journal:  Biol Conserv       Date:  2021-08       Impact factor: 5.990

3.  Indirect questioning methods for sensitive survey questions: Modelling criminal behaviours among a prison population.

Authors:  Beatriz Cobo; Eva Castillo; Francisca López-Torrecillas; María Del Mar Rueda
Journal:  PLoS One       Date:  2021-01-22       Impact factor: 3.240

4.  Measuring individual benefits of psychiatric treatment using longitudinal binary outcomes: Application to antipsychotic benefits in non-cannabis and cannabis users.

Authors:  Xuan Zhang; Jose de Leon; Benedicto Crespo-Facorro; Francisco J Diaz
Journal:  J Biopharm Stat       Date:  2020-06-08       Impact factor: 1.503

  4 in total

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