Utility of digital Respondent Driven Sampling to recruit community-dwelling emerging adults for assessment of drinking and related risks

Tucker, Jalie A.; Bacon, Joseph P.; Chandler, Susan D.; Lindstrom, Katie; Cheong, JeeWon

doi:10.1016/j.addbeh.2020.106536

Cited by 4 publications

(2 citation statements)

References 38 publications

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“…Per standard RDS analysis procedures, the analysis sample excluded seeds who were purposively selected to start RDS and did not complete the survey. The resulting sample of peer recruits was examined for recruitment bias and analytic assumptions (Gile et al, 2015;Heckathorn, 1997Heckathorn, , 2002Tucker et al, 2020). Age, sex, race/ethnicity, and baseline drinking were checked for potential nonrandom recruitment (homophily) and independence from the nonrandomly selected seeds (equilibrium) over recruitment waves.…”

Section: Data Analysesmentioning

confidence: 99%

Behavioral economic indicators of risky drinking among community-dwelling emerging adults.

Tucker

Lindstrom

Chandler

et al. 2021

Psychology of Addictive Behaviors

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Objective: Behavioral economic (BE) approaches to understanding and reducing risky drinking among college students are well established, but little is known about the generalizability of prior findings to peers who currently are not traditional college students and are more difficult to reach for assessment and intervention. This cross-sectional survey investigated whether drinking practices and negative consequences were associated with greater alcohol demand, alcohol reward value, and delay discounting in this target population. Method: Community-dwelling emerging adult drinkers aged 21 to 29 (N = 357) were recruited using Respondent-Driven Sampling adapted to a digital platform (Mage = 23.6 years, 64% women). Peers recruited peers in an iterative fashion. Participants completed a web-based survey of drinking practices, negative alcohol-related consequences, and BE measures of alcohol demand, alcohol reward value, and delay discounting. Results: Regression analyses supported the study hypotheses. Higher alcohol demand (intensity and elasticity) predicted higher drinks per drinking day, more past-month drinking days, and more negative consequences. Higher alcohol reward value (discretionary alcohol spending and alcoholinvolved activities) and stronger preference for sooner smaller versus later larger rewards predicted select drinking risk variables in the hypothesized direction ( p < .05). Conclusions: BE risk characteristics were generalized to community-dwelling emerging adult risky drinkers, with the most consistent associations found between alcohol demand and drinking risk measures. The findings lay a foundation for extending successful BE interventions with college drinkers to this underserved population. Public Health Significance StatementThis cross-sectional survey found that established associations of behavioral economic variables with risky drinking among traditional college students are generalizable to young adults who currently reside in the community. It lays a foundation for extending behavioral economic interventions with college drinkers to the underserved population of community-dwelling young adult risky drinkers. The study also showed that online peer-driven sample recruitment using Respondent-Driven Sampling is an efficient, effective method to recruit community-dwelling risky drinkers who are harder to reach than groups accessible by location.

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Section: Data Analysesmentioning

confidence: 99%

Behavioral economic indicators of risky drinking among community-dwelling emerging adults.

Tucker

Lindstrom

Chandler

et al. 2021

Psychology of Addictive Behaviors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Bengtsson et al [ 16 ] discuss the ways in which multiple participation was prevented in their study but not remaining ways in which the system could have been exploited. Tucker et al [ 17 ] only state that ‘Chain development was checked regularly to identify duplicate or fake enrollment attempts, which were uncommon’. In contrast, we see online survey fraud as a serious and likely scenario, and we not only describe fraud attempts prevented by our system but also those that could not be prevented.…”

Section: The Two Key Challenges With Online Rdsmentioning

confidence: 99%

Smartphone-based Respondent Driven Sampling (RDS): A methodological advance in surveying small or ‘hard-to-reach’ populations

Sosenko

Bramley²

2022

PLoS ONE

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Producing statistically robust profiles of small or ‘hard-to-reach’ populations has always been a challenge for researchers. Since surveying the wider population in order to capture a large enough sample of cases is usually too costly or impractical, researchers have been opting for ‘snowballing’ or ‘time-location sampling’. The former does not allow for claims to representativeness, and the latter struggles with under-coverage and estimating confidence intervals. Respondent Driven Sampling (RDS) is a method that combines snowballing sampling with an analytical algorithm that corrects for biases that arise in snowballing. For all its advantages, a major weakness of RDS has been around data collection. Traditionally done on-site, the process is costly and lengthy. When done online, it is cheaper and faster but under a serious threat from fraud, compromising data quality and validity of findings. This paper describes a real-life application of a RDS data collection system that maximizes fraud prevention while still benefiting from low cost and speedy data collection.

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Social Network Feedback and Drinking Outcomes among Emerging Adult Risky Drinkers Living in Urban Communities

Cheong

Lindstrom

Chandler

et al. 2021

Substance Use & Misuse

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Utility of digital Respondent Driven Sampling to recruit community-dwelling emerging adults for assessment of drinking and related risks

Cited by 4 publications

References 38 publications

Behavioral economic indicators of risky drinking among community-dwelling emerging adults.

Behavioral economic indicators of risky drinking among community-dwelling emerging adults.

Smartphone-based Respondent Driven Sampling (RDS): A methodological advance in surveying small or ‘hard-to-reach’ populations

Social Network Feedback and Drinking Outcomes among Emerging Adult Risky Drinkers Living in Urban Communities

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