title: Reducing quantitative data errors: tips for clinical researchers.
abstract: Data errors, or missing and inaccurate data, can compromise research findings. Steps can be taken before and during data collection, as well as during data entry that will minimize data errors. The purpose of this article is to discuss ways to reduce quantitative data errors through thoughtful planning of the data collection form, careful reviewing of completed data forms in the field and laboratory, and consideration of accurate and efficient data entry with thorough verification methods. Clinical researchers are provided with tips and examples for reducing data errors.
authors.affiliation: School of Nursing, Saint Louis University, MO 63104, USA. schneijk@slu.edu
authors.forename: Joanne Kraenzle
authors.initials: JK
authors.lastname: Schneider
authors.forename: Aporn
authors.initials: A
authors.lastname: Deenan
mesh_terms: D015400:Clinical Nursing Research / Q000379:methods* / Q000592:standards*; D003625:Data Collection / Q000379:methods* / Q000592:standards*; D006801:Humans