Literature DB >> 15154125

Reducing quantitative data errors: tips for clinical researchers.

Joanne Kraenzle Schneider1, Aporn Deenan.   

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.

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Year:  2004        PMID: 15154125

Source DB:  PubMed          Journal:  Appl Nurs Res        ISSN: 0897-1897            Impact factor:   2.257


  2 in total

1.  Measuring the Quality of Data Collection in a Large Observational Cohort of HIV and AIDS.

Authors:  Mariska Hillebregt; Elly de Lange-de Klerk; Dirk Knol; Frank de Wolf; Colette Smit
Journal:  Open AIDS J       Date:  2010-05-05

2.  Comparing the accuracy and speed of four data-checking methods.

Authors:  Kimberly A Barchard; Andrew J Freeman; Elizabeth Ochoa; Amber K Stephens
Journal:  Behav Res Methods       Date:  2020-02
  2 in total

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