Evidence map›Paper›PMID 40091164›Full record

ArticleAlcohol, clinical & experimental research2025

Check your data before you wreck your model: The impact of careless responding on substance use data quality.

Abby L Braitman, Anna M Petrey, Jennifer L Shipley, Rachel Ayala Guzman, Emily Renzoni, Alison Looby, Adrian J Bravo, Stimulant Norms and Prevalence 2 (SNAP2) Study Team

Abstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. University Students and the Stimulant Shortage: A Survey of Strategies to Obtain Medication, Consequences of Shortages, and Mental Health Correlates.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2026
    Article
  2. Article
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

8 authors.

Abby L BraitmanOld Dominion University, Norfolk, Virginia, USA.ORCID 0000-0003-2259-1094
Anna M PetreyUniversity of Wyoming, Laramie, Wyoming, USA.ORCID 0000-0001-8421-1179
Jennifer L ShipleyOld Dominion University, Norfolk, Virginia, USA.ORCID 0000-0002-5203-4486
Rachel Ayala GuzmanOld Dominion University, Norfolk, Virginia, USA.ORCID 0000-0001-6433-7313
Emily RenzoniOld Dominion University, Norfolk, Virginia, USA.
Alison LoobyUniversity of Wyoming, Laramie, Wyoming, USA.ORCID 0000-0002-2791-297X
Adrian J BravoWilliam & Mary, Williamsburg, Virginia, USA.ORCID 0000-0002-4630-6449
Stimulant Norms and Prevalence 2 (SNAP2) Study Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe accuracy of survey responses is a concern in research data quality, especially in college student samples. However, examination of the impact of removing participants from analyses who respond inaccurately or carelessly is warranted given the potential for loss of information or sample diversity. This study aimed to understand if careless responding varies across a number of demographic indices, substance use behaviors, and the timing of survey completion.

methodCollege students (N = 5809; 70.7% female; 75.7% White, non-Hispanic) enrolled in psychology classes from six universities completed an online survey assessing a variety of demographic and substance use-related information, which included four attention check questions dispersed throughout the hour-long survey. Differences in careless responding were assessed across multiple demographic groups, and we examined the impact of careless responding on data quality via a confirmatory factor analysis of a validated substance use measure, the Drinking Motives Questionnaire-Revised Short Form.

resultsCareless responding varied significantly by participant race, sex, gender, sexual orientation, and socioeconomic status. Substance use was generally unassociated with careless responding, though careless responding was associated with experiencing more alcohol-related problems. Careless responding was more prevalent when the survey was completed near the end of the semester. Finally, the factor structure of the drinking motives measure was affected by the inclusion of those who failed two or more attention check questions.

conclusionsIncluding attention checks in surveys is an effective method to detect and address careless responding. However, omitting participants from analyses who evidence any careless responding may bias the sample demographics. We discuss recommendations for the use of attention check questions in undergraduate substance use cross-sectional surveys, including retaining participants who fail only one attention check, as this has a minimal impact on data quality while preserving sample diversity.

Indexed as

Data AccuracySubstance-Related DisordersAdolescentAdultFemaleHumansMaleStudentsSurveys and QuestionnairesUniversitiesYoung Adultattention checkscareless respondingdata qualitysatisficing

Identifiers

PMID40091164
PMCPMC12012867

What OpenQuestion holds

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LicenceCC BY-NC
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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.