The relationship between nonsystematic delay discounting and low-quality survey responses in a sample of smokers: ROC curve analysis.

Yeh, Yu‐Hua; Freitas‐Lemos, Roberta; Craft, William H; Bickel, Warren K.

doi:10.1037/pha0000584

Cited by 4 publications

(8 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Violation of the second criterion suggests that reward valuation is not affected by delay. Excluding nonsystematic data is widely used in the field (Smith et al, 2018), and recent investigations have demonstrated that nonsystematic delay discounting is associated with poor data quality and random responding in online samples (Craft et al, 2022; Yeh et al, 2022). Prior to conducting analyses, we determined that 19 individuals failed attention check questions and 14 individuals violated one or more nonsystematic delay discounting criteria.…”

Section: Methodsmentioning

confidence: 99%

Delay discounting in adults with and without chronic pain: Differentiation across commodity and sign.

Mistretta¹,

Craft²,

Davis³

et al. 2023

Experimental and Clinical Psychopharmacology

Self Cite

View full text Add to dashboard Cite

Delay discounting is a component of reward processing that affects decision-making in various health behavior domains. This study examined the discounting of gains and losses for monetary and pain outcomes among adults with and without chronic pain. Pain severity and pain catastrophizing (PC) were examined as additional moderators. This study assessed the discounting rates of 138 adults with chronic pain and 147 adults without chronic pain using online convenience sampling. Delay discounting was measured using an adjusting amount procedure, which titrates discounting rates based on participants' responses to identify points of indifference. Adults with and without chronic pain discounted losses more than gains and discounted pain outcomes more than monetary outcomes. There were no differences between groups based on chronic pain status or average self-reported pain severity. Post hoc analyses show that, on average, adults with chronic pain and high pain catastrophizing discounted monetary losses less than adults without chronic pain and low pain catastrophizing. This finding suggests that a tendency to defer immediate losses in favor of even larger delayed losses is dependent on high pain catastrophizing in the context of chronic pain. If pain catastrophizing is a more robust predictor of discounting rates than other pain metrics, then catastrophizing may be the construct that predicts risky decision-making. Public Health SignificanceDiscounting rates of monetary and pain rewards were similar in adults with and without chronic pain. Adults with pain and high pain catastrophizing discounted monetary losses less than adults without chronic pain and low pain catastrophizing. This study suggests that catastrophizing may predict risky decision-making in adults with chronic pain, which may have implications for psychological and pharmacological interventions.

show abstract

Section: Methodsmentioning

confidence: 99%

Delay discounting in adults with and without chronic pain: Differentiation across commodity and sign.

Mistretta¹,

Craft²,

Davis³

et al. 2023

Experimental and Clinical Psychopharmacology

Self Cite

View full text Add to dashboard Cite

show abstract

“…given our findings regarding DD rate and attrition status, our results with random or inattentive responding on MTurk, meriting data for exclusion (Craft et al, 2022;Yeh et al, 2022). Third, rate dependence may be modified by demographic variables; however, these were not included in the analysis since due to the within-subject design and the paucity in literature that suggests demographic variables may modify the rate dependence.…”

Section: Discussionmentioning

confidence: 92%

“…Second, we acknowledge the large proportion (~50%) excluded from participating in the two follow‐up surveys due to failing attention checks or for nonsystematic delay discounting. However, previous work has demonstrated that failing attention checks or nonsystematic criteria is associated with random or inattentive responding on MTurk, meriting data for exclusion (Craft et al, 2022; Yeh et al, 2022). Third, rate dependence may be modified by demographic variables; however, these were not included in the analysis since due to the within‐subject design and the paucity in literature that suggests demographic variables may modify the rate dependence.…”

Section: Discussionmentioning

confidence: 99%

“…Participants were paid $2.50 for completing the first survey, $3.50 for completing the second, $4.50 for completing the third survey, and paid a $2.50 bonus for completing all three surveys. Data quality is a concern on online data collection platforms due to potential inattentive or random responding, as well as automated response methods (i.e., bots; Chmielewski & Kucker, 2020; Mellis & Bickel, 2020; Stokel‐Walker, 2018), and investigations have demonstrated that excluding data from individuals who fail attention check questions or provide nonsystematic delay discounting can improve data quality (Craft et al, 2022; Yeh et al, 2022). Thus, participants were required to pass two attention check questions and meet the criteria for systematic DD (Johnson & Bickel, 2008) in the baseline survey to be eligible to participate in the week 2 and week 3 surveys.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Rate‐dependent effects of narrative interventions in a longitudinal study of individuals who use alcohol

Craft

Dwyer

Tomlinson

et al. 2023

Alcohol: Clinical and Experimental Research

Self Cite

View full text Add to dashboard Cite

Background: Delay discounting (DD), the decrease in reward valuation as a function of delay to receipt, is a key process undergirding alcohol use. Narrative interventions, including episodic future thinking (EFT), have decreased delay discounting and demand for alcohol. Rate dependence, the relationship between a baseline rate and change in that rate after an intervention, has been evidenced as a marker of efficacious substance use treatment, but whether narrative interventions have ratedependent effects needs to be better understood. We investigated the effects of narrative interventions on delay discounting and hypothetical demand for alcohol in this longitudinal, online study. Methods: Individuals (n = 696) reporting high-or low-risk alcohol use were recruited for a longitudinal 3-week survey via Amazon Mechanical Turk. Delay discounting and alcohol demand breakpoint were assessed at baseline. Individuals returned at weeks 2 and 3 and were randomized into the EFT or scarcity narrative interventions and again completed the delay discounting tasks and alcohol breakpoint task. Oldham's correlation was used to explore the rate-dependent effects of narrative interventions. Study attrition as a function of delay discounting was assessed.Results: Episodic future thinking significantly decreased, while scarcity significantly increased delay discounting relative to baseline. No effects of EFT or scarcity on the alcohol demand breakpoint were observed. Significant rate-dependent effects were observed for both narrative intervention types. Higher delay discounting rates were associated with a greater likelihood of attrition from the study. Conclusion:The evidence of a rate-dependent effect of EFT on delay discounting rates offers a more nuanced, mechanistic understanding of this novel therapeutic intervention and can allow more precise treatment targeting by demonstrating who is likely to receive the most benefit from it.

show abstract

“…Note that the ADT task’s design precludes the utilization of nonsystematic criteria. Recent studies have shown that individuals reporting tobacco and alcohol use have high proportions of low-quality responding, between 40% and 60% (Craft et al, 2022; Yeh et al, 2022). Thus, the inability to detect low-quality responses in the ADT potentially reduces the strength of the relationship between the ADT and the AAT and precludes the identification of individuals before study participation who might provide poor quality data.…”

Section: Discussionmentioning

confidence: 99%

Utility of the 5-trial adjusting delay task in screening for high delay discounting rates: A cohort study of individuals reporting harmful alcohol and tobacco use.

Dwyer¹,

Craft²,

Tegge³

et al. 2023

Experimental and Clinical Psychopharmacology

Self Cite

View full text Add to dashboard Cite

High delay discounting (DD) rates are associated with several health conditions, including addiction. Investigators interested in the modulation of DD rates may be interested in screening for individuals with high DD rates within substance-using samples. The adjusting delay discounting task (ADT) is a brief DD rate measure suitable for screening purposes, but how performance on this task is related to more granular DD measures (e.g., adjusting amount task; AAT) in individuals who use substances is unknown. This study investigated the relationship between DD rates measured by the ADT and AAT to assess the utility of the ADT in screening for high discounting rates in individuals who use tobacco and alcohol. Participants (N = 488) were screened for high discounting rates, ln(k) ≥ −4.3118, using the ADT. Subsequently, participants completed the AAT. Linear regressions were conducted to understand the relationship between the ADT and AAT DD rates. Separate analyses between the total, high-quality and low-quality samples were conducted. Significant relationships between the ADT and AAT were found for the total (p < .001), high-quality (p < .001), and low-quality samples (p < .001). Although the ADT overestimated DD rates on the AAT by 2.49, 2.29, and 2.97 units in the total, high-quality, and low-quality samples, the ADT accurately identified individuals with high discounting rates. Specifically, 71% of the total sample, 80% of the high-quality sample, and 66% of the low-quality sample maintained a high DD rate on the AAT. These results demonstrate that ADT can be used as a quick, accurate screening tool to identify high discounting rates in individuals who use substances.

show abstract

The relationship between nonsystematic delay discounting and low-quality survey responses in a sample of smokers: ROC curve analysis.

Cited by 4 publications

References 25 publications

Delay discounting in adults with and without chronic pain: Differentiation across commodity and sign.

Delay discounting in adults with and without chronic pain: Differentiation across commodity and sign.

Rate‐dependent effects of narrative interventions in a longitudinal study of individuals who use alcohol

Utility of the 5-trial adjusting delay task in screening for high delay discounting rates: A cohort study of individuals reporting harmful alcohol and tobacco use.

Contact Info

Product

Resources

About