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

Abstract

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… (More)

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@inproceedings{Strecher2012DataQI, title={Data Quality in HIV/ AIDS Web-Based Surveys: Handling Invalid and Suspicious Data}, author={Victor J. Strecher and Jose Arturo Bauermeister and Emily Sweetnam Pingel and Marc A. Zimmerman and Mick P. Couper and Alex Carballo-Di{\'e}guez}, year={2012} }