Training Overview
This training program is designed to enhance participants’ knowledge and skills in data collection and analysis for Monitoring and Evaluation (M&E). It focuses on qualitative and quantitative methods, emphasizing the use of effective tools and techniques to ensure reliable and actionable data. Participants will gain practical experience in designing surveys, conducting interviews, analyzing data, and presenting findings to inform decision-making and improve project performance.
Training Objectives
By the end of the training, participants will:
- Understand the principles of M&E and its role in project management.
- Learn the differences between qualitative and quantitative data and their applications in M&E.
- Gain proficiency in selecting and applying appropriate data collection tools.
- Acquire skills to design and implement surveys, focus groups, and interviews.
- Learn data cleaning, analysis techniques, and the use of software for analysis.
- Enhance their ability to interpret and present data for stakeholder engagement.
Learning Outcomes
Participants will be able to:
- Identify and use appropriate data collection methods for different M&E contexts.
- Develop data collection tools such as questionnaires, checklists, and interview guides.
- Conduct qualitative and quantitative data analysis using relevant software.
- Interpret data to generate insights and recommendations.
- Produce high-quality M&E reports and dashboards.
Who Should Attend?
- M&E officers and specialists.
- Project managers and coordinators.
- Development practitioners in NGOs, government, and private sectors.
- Academicians and researchers involved in project evaluation.
- Data analysts and statisticians working on M&E projects.
Training Duration
- 3-5 days (Customizable based on participant needs and depth of coverage).
- Training Fee: 600,000TZS ( May change based based on the number of participants, location, and training customization. Fee covers: Training materials (manuals, templates, and toolkits), Refreshments and lunch during training and Certificate of completion.
Training Contents
Introduction to M&E and Data Management
- Overview of M&E principles and practices.
- Importance of data in M&E processes.
Qualitative Data Collection Methods
- Focus group discussions, interviews, and observations.
- Developing interview guides and coding data.
Quantitative Data Collection Methods
- Surveys, questionnaires, and sampling techniques.
- Tools for electronic data collection (e.g., KoboToolbox, ODK).
Data Analysis Techniques
- Qualitative analysis: thematic analysis and coding.
- Quantitative analysis: statistical methods and software (e.g., SPSS, Excel).
Data Quality Management
- Data cleaning, validation, and triangulation.
- Ensuring reliability and validity in M&E.
Visualization and Reporting
- Designing dashboards and visual presentations.
- Writing effective M&E reports.
Participants will receive a Certificate of Completion upon successfully completing the training.