11 Topics
5 Days
42 Sessions
Programme Overview
Training Description
WHO SHOULD ATTEND
This course is targeted at researchers, project staff, managers, development practitioners, policy makers in government, NGOs and development organizations who want to determine the performance of their interventions.
Session Objectives
- Understand the difference between monitoring and evaluation
- Identify project indicators for evaluation
- Design and plan for an evaluation
- Apply mixed methods of data collection during evaluation
- Perform both quantitative and qualitative data analysis
About the Course
The projects implemented by organizations need to be aligned with the objectives of the institution to be effective. This course is aimed to guide development organizations to conduct precise and appropriate project evaluations, and then communicate and use the results of evaluation.
Curriculum & Topics
11 Topics | 42 Sessions
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Workshop 1.1:
· Project Indicators of M&E
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Workshop 1.2:
· Results Framework
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Workshop 1.3:
· Logical Framework
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Workshop 2.1:
· Meaning of project evaluation
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Workshop 2.2:
· Project evaluation importance
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Workshop 2.3:
· Monitoring versus Evaluation
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Workshop 2.4:
· Design of Project Evaluation
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Workshop 3.1:
· Purpose of Evaluation
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Workshop 3.2:
· Evaluations Types
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Workshop 3.3:
Criteria of Evaluation
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Workshop 3.4:
· Evaluation Questions Development
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Workshop 4.1:
· Evaluation Data Sources Identification
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Workshop 4.2:
· Data Analysis Methods
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Workshop 4.3:
· Data Collection Methods
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Workshop 4.4:
· Completing Evaluation Matrix
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Workshop 5.1:
· Tasks Distribution
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Workshop 5.2:
· Evaluation Work plan
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Workshop 5.3:
. Evaluation Budget
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Workshop 6.1:
· Evaluation Indicators Identification
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Workshop 6.2:
· Evaluation Tools
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Workshop 6.3:
· Use of Monitoring data in evaluation
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Workshop 6.4:
· Mixed methods of data collection management
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Workshop 7.1:
· Conversion of paper based questions to ODK forms
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Workshop 7.2:
· Export of data from ODK for further analysis
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Workshop 7.3:
· Configuration of ODK server aggregate
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Workshop 7.4:
· Collection of field data using ODK collect
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Workshop 8.1:
· Introducing statistical concepts
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Workshop 8.2:
· Reconstruction of data
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Workshop 8.3:
· Variables creation and data entry
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Workshop 8.4:
· Manipulation of Variables
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Workshop 9.1:
· Qualitative data analysis principles
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Workshop 9.2:
· Preparation of data for qualitative analysis
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Workshop 9.3:
· Linking and integrating multiple data sets in different forms
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Workshop 9.4:
· Qualitative data thematic analysis
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Workshop 9.5:
· Qualitative data Content analysis
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Workshop 10.1:
· Evaluation Matrix Consolidation
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Workshop 10.2:
· Data triangulation
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Workshop 10.3:
· Developing evaluation questions answers
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Workshop 11.1:
· Conclusions
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Workshop 11.2:
·· Recommendations
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Workshop 11.3:
·· Final evaluation report
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Workshop 11.4:
· Dissemination of evaluation results
