Training Course on Advanced Monitoring and Evaluation with IT in Mombasa, Kenya.
Details
Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Companies need data analysts to sort through this data to help make decisions about their products, services or business strategies. Everything you need to get started in the world of data analytics is already on your computer in the wonderful application called Excel which has robust features. Microsoft Power BI is another tool from Microsoft that gathers and processes your data, analyzes and provides data-driven insights that enable managers, business analysts and key decision makers to make informed decisions in real-time. Enroll in this training on Monitoring and Evaluation with IT and gain critical skills on easy-to-comprehend data visualizations and performing analytics.
Target Participants
This training course is recommended for researchers, project staff, development practitioners, consultants and decision makers. It is ideal for those who wish to be at par with the latest practices in determining the impact of project interventions.
What you will learnBy the end of the course the learner should be able to:
- Understand why impact evaluation is important in projects and programmes
- Learn about theories and practices of impact evaluation
- Learn about evaluation problem: attribution, selection and placement biases
- Understand IE designs: randomized, quasi and non-experimental
- Conduct a rigorous impact evaluation of a project, programme or a policy
- Learn and practice on sampling, power calculation, econometric techniques for impact evaluation such as Propensity Matching, Difference-in –Difference and many more.
- Report and disseminate impact evaluation findings
Course duration
5 days
Outline
Fundamentals for Impact Evaluation
- Results Framework
- M&E Project Indicators
- Logical Framework
- Performance Evaluation
Introduction to Impact Evaluation
- Defining impact evaluation
- Deciding whether to evaluate
- Attribution in impact evaluation
- Contribution vs attribution
Determining points of Impact Evaluation
- Types of evaluation questions
- Theories of Change
- The results chain
- Evaluation hypothesis
- Impact evaluation indicators
Counterfactuals in Impact Evaluation
- Causal reference
- Comparison groups and counterfactuals
- Estimating counterfactual in impact evaluation
- Impact Evaluation when a Comparison and Baseline Data are not available
Impact Evaluation Research Designs
- Experimental Design (Randomized Control Trials)
- Quasi experimental designs (Regression Discontinuity; Difference-in-Difference; Matching)
- Non-experimental designs
Sampling in Impact Evaluation
- Sampling techniques in Impact Evaluation
- Sample size calculation,
- Sampling weight
- Statistical power
- Constructing valid comparison groups
Quantitative Data Analysis for Impact Evaluation
Randomized Impact Evaluation
- Setting the counterfactual
- Statistical Design of Randomization
- Impacts of Program Placement
- Impacts of Program Participation
- Capturing Both Program Placement and Participation
- Measuring Spillover Effects
Propensity Score Matching Technique (PSM)
- Introduction to PSM
- Application of PSM in Impact Evaluation
- Constructing propensity scores
- Matching Analysis (Nearest-Neighbour, Stratification, Radius, Kernel )
- Common support
- Doubly Robust Estimation
Difference in Difference Method
- What is DID?
- Application of DID in Impact Evaluation
- Estimating DID estimator: Single DID, DID with covariates, Quantile DID
- DID for Cross-Sectional Data
- Balancing Tests
- Diff-in-Diff with Propensity Score Matching
Qualitative Approaches in Impact Evaluation
- Most Significant Change
- Outcome Mapping
- Outcome Harvesting
- Appreciative Inquiry
Producing and Disseminating Impact Evaluation findings
- Impact Evaluation Plan
- Impact Evaluation Reports: Baseline report, Impact Evaluation Reports
- Case studies
Schedules
Weekdays | 08:00 AM — 05:00 PM |
Weekdays | 08:00 AM — 05:00 PM |
Weekdays | 08:00 AM — 05:00 PM |