Knowledge@Noon: Addressing Biases in Data Analysis
11 APR
12 – 1PM ET
The Knowledge@Noon webcast series is presented by the Georgetown University School of Continuing Studies.
This talk discusses the two main types of biases that can impact data analysis: cognitive bias and statistical bias. Cognitive biases are the subjective thoughts and beliefs that analysts may hold, whereas statistical biases are technical errors made while conducting data analysis. The talk also outlines five common types of biases that can occur in data analysis, including confirmation bias, reporting bias, sample bias, selection bias, and measurement bias. Additionally, the talk provides examples of how these biases can affect research findings, and offers strategies to overcome these biases.
This event is entirely virtual.
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2023-04-11 12:00
2023-04-11 13:00
America/New_York
Knowledge@Noon: Addressing Biases in Data Analysis
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RSVP
The Knowledge@Noon webcast series is presented by the Georgetown University School of Continuing Studies.
This talk discusses the two main types of biases that can impact data analysis: cognitive bias and statistical bias. Cognitive biases are the subjective thoughts and beliefs that analysts may hold, whereas statistical biases are technical errors made while conducting data analysis. The talk also outlines five common types of biases that can occur in data analysis, including confirmation bias, reporting bias, sample bias, selection bias, and measurement bias. Additionally, the talk provides examples of how these biases can affect research findings, and offers strategies to overcome these biases.
RSVP
This event is entirely virtual.
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