Make Data Talk
#7 Validity and reliability of data
Feb 20, 2024
Dr. Selena Fisk, an expert in data validity and reliability, distinguishes and provides tips on enhancing both aspects. She emphasizes the importance of credible data collection, showcasing real-life scenarios to illustrate the impact of overlooking validity and reliability on data interpretation.
16:04
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Quick takeaways
- Reliability ensures consistent data outcomes, crucial for accurate assessments and data integrity.
- Validity focuses on accurate data reflection, emphasizing the importance of appropriate measures and metrics.
Deep dives
Understanding Reliability in Data Collection
Reliability in data collection pertains to the consistency of a measure, ensuring that if the test or data collection process were to be repeated, similar results would be obtained under the same conditions. This consistency is crucial in various fields, such as preventing errors in qualitative data where human subjectivity can lead to variations. For example, inconsistencies in scoring categories affected the author's evaluation as an employee, highlighting the significance of reliability in ensuring fair and accurate assessments. Strategies for enhancing reliability include maintaining consistent data collection practices to ensure that information remains trustworthy and dependable.
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