Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Kruger says reports of phantom mobile phone ringing/vibrating more common among anxious

Stafford says too early to say whether stock market declines will curtail Americans' spending

Eisenberg says many colleges now train campus personnel to spot and refer troubled college students

Highlights

Call for papers: Conference on Integrating Genetics and the Social Sciences, Oct 21-22, 2016, CU-Boulder

PRB training program in policy communication for pre-docs. Application deadline, 2.28.2016

Call for proposals: PSID small grants for research on life course impacts on later life wellbeing

PSC News, fall 2015 now available

Next Brown Bag

Monday, Feb 1 at noon, 6050 ISR-Thompson
Sarah Miller

Data Quality in HIV/AIDS Web-Based Surveys: Handling Invalid and Suspicious Data

Publication Abstract

Bauermeister, J., E. Pingel, Martin B. Zimmerman, Mick P. Couper, A. Carballo-Dieguez, and V. Strecher. 2012. "Data Quality in HIV/AIDS Web-Based Surveys: Handling Invalid and Suspicious Data." Field Methods, 24(3): 272-291.

Invalid data may compromise data quality. We examined how decisions made to handle these data may affect the relationship between Internet use and HIV risk behaviors in a sample of young men who have sex with men (YMSM). We recorded 548 entries during the 3-month period and created six analytic groups (i.e., full sample, entries initially tagged as valid, suspicious entries, valid cases mislabeled as suspicious, fraudulent data, and total valid cases) using data quality decisions. We compared these groups on the sample's composition and their bivariate relationships. Forty-one cases were marked as invalid, affecting the statistical precision of our estimates but not the relationships between variables. Sixty-two additional cases were flagged as suspicious entries and found to contribute to the sample's diversity and observed relationships. Using our final analytic sample, we found that very conservative criteria regarding data exclusion may prevent researchers from observing true associations. We discuss the implications of data quality decisions and its implications for the design of future HIV/AIDS web surveys.

DOI:10.1177/1525822x12443097 (Full Text)

PMCID: PMC3505140. (Pub Med Central)

Browse | Search : All Pubs | Next