Using a novel, multi-method approach to evaluate the quality of self-report survey data in organizational readiness research
Our findings suggest that readiness scores can be inflated by low-quality responses, and individual characteristics play a significant role in data quality. There is a need to be aware of who is completing surveys and the context in which surveys are distributed to improve the interpretation of findings and make the measurement of implementation-related constructs more precise.
Authors
- Maria McClam (ORCID: https://orcid.org/0000-0002-0953-8945)
- María E. Fernández (ORCID: https://orcid.org/0000-0002-7979-7379)
- Lauren Workman (ORCID: https://orcid.org/0000-0003-0404-7757)
- Derek W. Craig (ORCID: https://orcid.org/0000-0003-3589-0755)
- Pamela M. Diamond
- Andrea Lamont (ORCID: https://orcid.org/0000-0002-2427-014X)
- Timothy J. Walker (ORCID: https://orcid.org/0000-0003-3171-5431)
- Joe R. Padilla
- Jocelyn Hunyadi (ORCID: https://orcid.org/0000-0002-1503-9640)
- Abraham Wandersman
Institutions
- University of South Carolina (US)
- The University of Texas Health Science Center (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- Implementation Science Communications
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1186/s43058-025-00751-8
- Citations
- 1
- Primary Topic
- Occupational Health and Safety Research
- Type
- article
- Field-Weighted Citation Impact
- 1.54
Funders
- University of Texas Health Science Center at Houston
- National Institutes of Health
- National Heart, Lung, and Blood Institute
- National Cancer Institute