Introduction to Nonresponse Bias Analysis in Survey Data Slide deck

Key Points

• The aim is to understand nonresponse bias in survey data and methods for quantifying and correcting it.
• Describes how nonresponse bias occurs in surveys.
• Covers assessment techniques for representation errors.
• Introduces calibration and sensitivity analysis methods for correction.
• Raises awareness about the importance of addressing nonresponse bias.
• Highlights the need for careful analysis of new data sources.
• Suggests practical approaches for improving data quality through correction techniques.