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poor data quality
What Are the Sources of Poor Data Quality?
Several factors contribute to poor data quality in epidemiology. These include:
Human Error
: Mistakes during data entry or transcription.
Inadequate Training
: Lack of proper training for data collectors.
Technological Issues
: Faulty data collection tools and software.
Inconsistent Protocols
: Variations in data collection methods across different sites or studies.
Frequently asked queries:
What Constitutes Poor Data Quality?
How Does Poor Data Quality Affect Epidemiological Research?
What Are the Sources of Poor Data Quality?
How Can We Ensure High-Quality Data?
What Are the Consequences of Ignoring Data Quality?
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