EPISODE-1 Training Content
Watch the video of Training content:
EPISODE-1: Training Content
EPISODE-2: Introduction of Trainers
- What is monitoring
- The What, Why, When and How of Monitoring
- Types of monitoring
- Result based monitoring/management (RBM)
- Outcome monitoring (OM)
- Outcome Harvesting (OH)
- Monitoring report
- The difference between M&E?
EPISODE-4: About Logical Framework & Indicator
- What is the Logical Framework?
- Logframe example with a dummy project
- How to make M&E plan with example
- Indicator concept
- Types of indicator
- Indicator settings SMART context
- Different level of indicators
- Indicator selection for M&E
EPISODE-5: About M&E Framework
- Does M&E plan & framework different?
- Monitoring & Evaluation framework
- Result framework with example
- Performance measurement framework (PMF)
- Detail implementation plan (DIP)
- Indicator tracking table (ITT)
EPISODE-6: About Evaluation
- What is evaluation
- Types of evaluation
- Baseline, midline, end line and impact evaluation
- How to conduct evaluation (Process & Steps)
- Internal & external evaluation
- Evaluation report
EPISODE-7: About Data & Information
- Does data & information different?
- Methodology
- Manual & digital data collection
- Data collection plan
- Data collection method
- Data quality
- Data collection tools & techniques
- Database design
- Field test & piloting
- Data entry
- Data analysis
- Preparing report
- Findings sharing (Both negative & positive)
EPISODE-8: About Questionnaire
- How to develop questionnaire; quantitative tools
- One to one interview
- Structured questionnaire
- Semi-structured questionnaire
- Close questionnaire
- Open-ended questionnaire
- Process and example
EPISODE-9: About Qualitative Tools
- Necessary qualitative tools
- Assessment of qualitative indicator
- Focus group discussion (FGD)
- Key informant interview (KII)
- In-depth interview (II)
- Onside visual mapping (OVM)
- Collect Most Significant Change story (MSC)
- Analyze qualitative data
EPISODE-10: About Triangulation
- Concept of triangulation
- Method triangulation
- Data source triangulation
- Investigator/analyst triangulation
- Theory/perspective triangulation
More EPISODE is coming soon from the user opinion and needs.
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