Using a consistency check during data collection to identify invalid responding in an online cannabis screening survey

Autor: Christina Schell, Alexandra Godinho, John A. Cunningham
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-8 (2022)
Druh dokumentu: article
ISSN: 1471-2288
DOI: 10.1186/s12874-022-01556-2
Popis: Abstract Background Inconsistent responding is a type of invalid responding, which occurs on self-report surveys and threatens the reliability and validity of study results. This secondary analysis evaluated the utility of identifying inconsistent responses as a real-time, direct method to improve quality during data collection for an Internet-based RCT. Methods The cannabis subscale of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) was administered as part of eligibility screening for the RCT. Following the consent procedure, the cannabis subscale was repeated during the baseline interview. Responses were automatically compared and individuals with inconsistent responses were screened out. Results Nearly half of those initially eligible for the RCT were subsequently screened out for data quality issues (n = 626, 45.3%). Between-group bivariate analysis found that those screened out (OUT) were significantly older (OUT = 39.5 years (SD = 13.9), IN = 35.7 years (SD = 12.9), p
Databáze: Directory of Open Access Journals
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