Check your data before you wreck your model: The impact of careless responding on substance use data quality
Including 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.
Authors
- Elisabetta Renzoni (ORCID: https://orcid.org/0000-0002-1118-797X)
- Alison Looby (ORCID: https://orcid.org/0000-0002-2791-297X)
- Adrian Jorge Bravo (ORCID: https://orcid.org/0000-0002-4630-6449)
- Jennifer L Shipley (ORCID: https://orcid.org/0000-0002-5203-4486)
- Abby L. Braitman (ORCID: https://orcid.org/0000-0003-2259-1094)
- Rachel Ayala Guzman (ORCID: https://orcid.org/0000-0001-6433-7313)
- Anna M. Petrey (ORCID: https://orcid.org/0000-0001-8421-1179)
Institutions
- University of Wyoming (US)
- William & Mary (US)
- Williams (United States) (US)
- Old Dominion University (US)
Publication Details
- Journal
- Alcohol Clinical and Experimental Research
- Published
- 2025-03-16
- DOI
- https://doi.org/10.1111/acer.70024
- Citations
- 5
- Primary Topic
- Survey Methodology and Nonresponse
- Type
- article
- Field-Weighted Citation Impact
- 21.01