Learning Objectives
- Data Entry and Coding: Best practices for preparing data for analysis
- Data Cleaning and Validation: Identifying and handling missing data, outliers, and inconsistencies
- Survey Error and Bias: Sampling error, coverage error, non-response bias, measurement error. Strategies for minimization
- Ethical Considerations in Survey Research: Informed consent, anonymity, confidentiality, data security, IRB review processes