Validity of the alcohol purchase task: a meta‐analysis

Kiselica, Andrew M.; Webber, Heather E.; Bornovalova, Marina A.

doi:10.1111/add.13254

Cited by 62 publications

(75 citation statements)

References 38 publications

(54 reference statements)

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“…Secondly, with respect to modeled dimensions of the demand curve, demand intensity appears to provide stronger associations than elasticity. This difference has been observed for illicit substances, as described here, and with alcohol, as described previously . Several reasons for this finding are possible.…”

Section: Discussionsupporting

confidence: 85%

“…An underlying assumption of behavioral economic demand is that there are individual differences in reinforcer value that demand measured by the purchase task procedure can reveal. As noted above, prior meta‐analytical work has highlighted this utility and sensitivity to individual differences in quantity–frequency (QF) and severity of alcohol use for the alcohol purchase task . The purpose of this analysis was to similarly synthesize the purchase task literature with illicit compounds for the first time.…”

Section: Introductionmentioning

confidence: 99%

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Utilizing the commodity purchase task to evaluate behavioral economic demand for illicit substances: a review and meta‐analysis

et al. 2019

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Background andAims The commodity purchase task is a simulated demand procedure that is easy and quick to complete (< 5 minutes) as well as adaptable for remote delivery and use with varied study populations. The purpose of this meta‐analysis was to synthesize research using the commodity purchase task with illicit substances to evaluate the magnitude of omnibus effects sizes and moderators of the correlation of demand indices with quantity–frequency (QF) and severity measures. Design Random‐effects meta‐analyses and meta‐regressions involving studies with cross‐sectional correlational designs. Setting and Participants Eleven studies, 10 outcomes and 2146 participants from two countries (USA and UK) published up to 1 October 2018. Measurements Omnibus effect sizes (correlation coefficients) of five demand indices from the commodity purchase task [intensity (unconstrained consumption), elasticity (price sensitivity), Omax (maximum expenditure), Pmax (price at maximum expenditure) and breakpoint (first price of zero consumption)] with QF and severity measures. Meta‐regression models tested moderators of effect sizes (i.e. sample age and sex composition, commodity type and number of prices used in the commodity purchase task). Findings Significant omnibus effect sizes were observed with QF and severity measures for intensity (r = 0.32/0.28, QF/severity, respectively), elasticity (r = −0.14/−0.18), Omax (r = 0.30/0.29) and breakpoint (r = 0.17/0.22) values. Pmax was only significantly associated with severity measures (r = 0.15). The percentage of female participants and number of prices used in the purchase task significantly moderated Pmax and breakpoint effect‐size estimates in that stronger associations were observed in samples with a greater percentage of women and in studies using tasks with more price points. Commodity type (cannabis versus cocaine) did not significantly moderate associations involving any demand index. Conclusions Behavioral economic demand as measured by the commodity purchase task is consistently correlated with measures of illicit substance use quantity–frequency and severity.

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Section: Discussionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Utilizing the commodity purchase task to evaluate behavioral economic demand for illicit substances: a review and meta‐analysis

et al. 2019

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“…We also relied on data collected as hypothetical preferences rather than actual, real‐world preferences. Prior research in substance use has revealed that hypothetical tasks show good correspondence with incentivized versions and demand in simulated procedures corresponds to real‐world measures cross‐sectionally and prospectively (Amlung, Acker, Stojek, Murphy, & MacKillop, ; Dennhardt, Yurasek, & Murphy, ; Kiselica, Webber, & Bornovalova, ; Murphy et al, ; Strickland, Alcorn III, & Stoops, ). Additional research evaluating the relationship between condom demand and prospectively collected, real‐world health behaviors will be important for demonstrating similar predictive and ecological validity.…”

Section: Discussionmentioning

confidence: 94%

The condom purchase task: A hypothetical demand method for evaluating sexual health decision‐making

Strickland

Marks

Bolin

2020

J Exper Analysis Behavior

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Behavioral economic theory has proved useful for understanding the influence of delay and probability on sexual health decision‐making. Demand is another principle at the intersection of microeconomics and psychology that has helped advance research relevant to health behaviors. The purpose of the present study was to develop and test a demand measure related to sexual health decision‐making and the influence of sexually transmitted infection (STI) risk. Participants (N = 438) recruited using Amazon Mechanical Turk completed a commodity purchase task assessing hypothetical condom demand. Condom demand was evaluated at varied prices for use with hypothetical sexual partners that varied in STI risk. Demand was characterized by prototypic decreases in consumption with increases in cost. Higher partner STI risk was associated with greater intentions for condom‐protected sex at no cost and smaller decreases in condom demand with increases in cost. Price sensitivity was also related to individual difference factors relevant to sexual health (e.g., alcohol use severity, lower STI knowledge). This study supports the utility of a condom purchase task for indexing condom valuation and capturing individual difference and contextual risk factors relevant to STI transmission. Future studies may leverage this methodology as a means to study sexual health decision‐making.

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“…Results support previous research such that approach inclinations were positively associated with all indices of demand except P max . The lack of association with P max was not a surprise, given that P max tends to exhibit non-significant relationships with drinking behavior (Kiselica et al, 2016). Importantly results also suggest that avoidance inclinations account for significant variance above and beyond approach inclinations on several indices of alcohol demand (O max , breakpoint, elasticity), and that avoidance moderates the effect of approach motivation for both O max and breakpoint.…”

Section: Discussionmentioning

confidence: 99%

“…While these demand indices are functionally related to one another, theoretically they reflect distinct measures of reinforcement (Bickel, Marsch, & Carroll, 2000). More importantly, in a recent meta-analysis of studies using the APT, while some effect sizes were small, all indices of demand had significant associations with alcohol consumption, alcohol-related problems, and/or AUD symptoms (Kiselica, Webber, & Bornovalova, 2016). Further, intensity and O max tend to exhibit the most robust associations with drinking behavior and alcohol-related problems (MacKillop & Murphy, 2007; Murphy et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Examination of approach and avoidance inclinations on the reinforcing value of alcohol

Noyes

Schlauch

2018

Addictive Behaviors

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Although behavioral economics tends to focus on environmental factors (i.e., price, availability) that act to influence valuation of alcohol, recent research has begun to address how motivational and cognitive factors influence an individual's demand for alcohol. Motivational states, including craving, are one possible mechanism underlying the value based decision making that demand represents. Using a multidimensional model of craving (Ambivalence Model of Craving), the current study examined the relationships between indices of alcohol demand (i.e., reinforcing value of alcohol) and craving (i.e., approach inclinations), and the ways in which competing desires moderate that relationship (i.e., avoidance inclinations). Individuals who reported consuming alcohol in the past month were recruited for the study using Amazon's Mechanical Turk. A total of 529 participants (mean age=33.03years, SD=8.85) completed a series of surveys assessing their drinking behavior and other alcohol-related measures. Multiple regression analyses indicated that while approach significantly predicted intensity (i.e., consumption at zero cost), O (i.e., the maximum alcohol expenditure) and breakpoint (i.e., the first price that seizes consumption), avoidance moderated the relationship between approach and O and breakpoint. Specifically, follow up analyses demonstrated that higher avoidance inclinations attenuated the effect of approach inclinations on these demand indices. Finally, despite conceptual overlap between approach, avoidance, and alcohol demand, regression analyses indicated that these constructs account for unique variance in alcohol outcomes. These results illustrate the importance of considering the effects of both approach and avoidance inclinations on an individual's valuation of alcohol.

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Validity of the alcohol purchase task: a meta‐analysis

Abstract: The Alcohol Purchase Task appears to have good construct validity, but limited incremental utility in estimating risk for alcohol problems.

Cited by 62 publications

References 38 publications

Utilizing the commodity purchase task to evaluate behavioral economic demand for illicit substances: a review and meta‐analysis

Utilizing the commodity purchase task to evaluate behavioral economic demand for illicit substances: a review and meta‐analysis

The condom purchase task: A hypothetical demand method for evaluating sexual health decision‐making

Examination of approach and avoidance inclinations on the reinforcing value of alcohol

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