Course Overview
Data Collection Tools for Monitoring & Evaluation Course provides participants with essential skills and knowledge to effectively design, implement, and utilize various data collection tools in Monitoring & Evaluation (M&E) frameworks. The course covers a range of qualitative and quantitative data collection methods, tools, and technologies, ensuring participants are equipped to gather accurate and relevant data to inform project decision-making and enhance the effectiveness of programs. Participants will also learn about ethical considerations, data management, and how to tailor data collection tools to specific M&E needs.
Course Duration
10 Days
Who Should Attend
- M&E professionals looking to enhance their data collection skills.
- Project managers and coordinators involved in M&E activities.
- Researchers and data analysts in development projects.
- Program officers and field staff responsible for collecting and reporting data.
- NGO staff working in program design, implementation, and evaluation.
- Government officials and consultants involved in M&E tasks.
Course Objectives
By the end of this course, participants will be able to:
- Understand the principles and importance of data collection in M&E processes.
- Identify and select appropriate data collection tools for various types of data.
- Design and customize data collection tools to suit specific M&E needs.
- Implement effective data collection strategies in the field.
- Ensure the reliability, validity, and ethical considerations of data collection.
- Manage and store collected data efficiently for analysis.
- Utilize digital tools and technologies for data collection.
- Analyze collected data to inform program decisions.
- Troubleshoot common challenges in data collection.
- Integrate data collection findings into comprehensive M&E reports.
Course Outline:
Module 1: Introduction to Data Collection in M&E
- The role of data in M&E
- Types of data (quantitative, qualitative)
- Data collection planning
Module 2: Surveys and Questionnaires
- Types of surveys (mail, telephone, online, face-to-face)
- Questionnaire design principles
- Survey sampling techniques
Module 3: Interviews and Focus Groups
- Types of interviews (structured, semi-structured, unstructured)
- Conducting effective interviews
- Facilitating focus group discussions
Module 4: Observations
- Types of observations (participant, non-participant)
- Observation techniques
- Developing observation checklists
Module 5: Document Review
- Types of documents (reports, records, policies)
- Document analysis techniques
- Assessing document reliability
Module 6: Mobile Data Collection
- Introduction to mobile data collection tools
- Designing mobile data collection forms
- Data synchronization and management
Module 7: Geographic Information Systems (GIS)
- Introduction to GIS for M&E
- Data collection using GPS
- Creating maps and spatial analysis
Module 8: Participatory Data Collection Methods
- Community-based monitoring and evaluation
- Participatory rural appraisal (PRA)
- Photovoice
Module 9: Data Quality Management
- Data validation and cleaning
- Data verification and auditing
- Data security and confidentiality
Module 10: Emerging Data Collection Technologies
- Social media monitoring for M&E
- Big data and M&E
- Ethical considerations in data collection
