Course Modules

Module 1: Introduction to Statistical Systems and Data Types

• Overview of national and global statistical systems
• Key concepts: primary vs. secondary data
• Types of data: quantitative and qualitative
• Relevance of data in decision-making
• Case Study: Understanding demographic data collection in population censuses

Module 2: Data Sources and Collection Instruments

• Types of data sources: administrative, surveys, censuses
• Tools for data collection: questionnaires, interviews, checklists
• Choosing the right tool for different data types
• Digital vs. paper-based data collection tools
• Case Study: Comparing data collection tools in health statistics

Module 3: Sampling Methods and Field Survey Preparation

• Introduction to sampling and its importance
• Common sampling techniques: random, stratified, cluster
• Determining sample size and avoiding bias
• Preparing enumerators and logistics for fieldwork
• Case Study: Sampling strategies used in the Kenya Integrated Household Budget Survey

Module 4: Ethical Considerations in Data Collection

• Importance of ethics in data collection
• Informed consent and privacy protection
• Dealing with vulnerable populations
• Institutional review and data use approvals
• Case Study: Ethics and challenges in collecting gender-based violence data

Module 5: Data Validation and Quality Control Techniques

• Common errors in data collection
• Techniques for cross-checking and verification
• Field supervision and daily debriefing
• Cleaning raw data before entry
• Case Study: Quality control protocols in agricultural production surveys