Evidence map›Paper›PMID 36951710›Full record

ArticleExperimental and clinical psychopharmacology2023

Are the attention checks embedded in delay discounting tasks a valid marker for data quality?

Shahar Almog, Andrea Vásquez Ferreiro, Meredith S Berry, Jillian M Rung

Abstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shahar AlmogDepartment of Health Education and Behavior, University of Florida.ORCID 0000-0003-3093-3947
Andrea Vásquez FerreiroDepartment of Health Education and Behavior, University of Florida.
Meredith S BerryDepartment of Health Education and Behavior, University of Florida.ORCID 0000-0002-5526-7437
Jillian M RungDepartment of Health Education and Behavior, University of Florida.ORCID 0000-0002-5945-6454

Funding

UF Substance Abuse Training Center in Public HealthT32DA035167 · NIDA · UNIVERSITY OF FLORIDA · PI Linda B. Cottler · 2014 to 2026
$4.8M
Translational Science Training to Reduce the Impact of Alcohol on HIV InfectionT32AA025877 · NIAAA · UNIVERSITY OF FLORIDA · PI Robert L Cook, DEBRA E LYON · 2018 to 2026
$3.3M
Opioid-Sparing and Pain-Reducing Properties of Syntocinon: A Dose-Effect DeterminationK01DA052673 · NIDA · UNIVERSITY OF FLORIDA · PI Meredith Berry · 2022 to 2026
$916k
The potential of oxytocin to reduce opioid abuse liability and pain among older adultsR21DA056813 · NIDA · UNIVERSITY OF FLORIDA · PI BERRY, MEREDITH, CRUZ-ALMEIDA, YENISEL · 2023 to 2024
$419k
Understanding Harmful Alcohol Use in Context: Utility of Dynamic Assessment of Behavioral Economic Risk FactorsK99AA029732 · NIAAA · UNIVERSITY OF FLORIDA · PI RUNG, JILLIAN MARIE · 2022 to 2022
$126k
NIAAA NIH HHS K99 AA029732NIAAA NIH HHS T32 AA025877NIDA NIH HHS K01 DA052673NIDA NIH HHS L30 DA052084NIDA NIH HHS T32 DA035167
6 · The paper itself

Abstract

To ensure good quality delay discounting (DD) data in research recruiting via crowdsourcing platforms, including attention checks within DD tasks have become common. These attention checks are typically identical in format to the task questions but have one sensical answer (e.g., "Would you prefer $0 now or $100 in a month?"). However, the validity of these attention checks as a marker for DD or overall survey data quality has not been directly examined. To address this gap, using data from two studies (total

Indexed as

CrowdsourcingDelay DiscountingData AccuracyHumansProbabilitySurveys and Questionnaires

Identifiers

PMID36951710
PMCPMC10694837

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.