Training on Project Performance Evaluation

About the Program

To determine the relevance of development effectiveness, impact, efficiency, and level of objectives achievement on the sustainability of an ongoing or completed project, its critical to understand project evaluation. Hence, the program aims at guiding development organizations in conducting effective project evaluations aligned with their objectives

Program Objectives

• Appreciate and understand the basic terminologies and concepts of Project evaluation and statistical analysis.
• Know, and develop basic skills using the project planning, monitoring & evaluation approaches, and techniques.

Target Audience

The program targets:

Executives, Program Managers, and Project Managers  of private sector companies, Project Management  Office, Policy Makers in Government Agencies,  International Development Donor Organizations, Non-  Government Organizations (NGO), Private Voluntary  Organizations (PVO), and those who would like to earn  Professional Development Units (PDUs).

Training Period

• Classroom: 5 Days
• Online: 7 Days

Module 1: Overview of M&E Fundamentals for Project  Evaluation.

• Results Framework.
• Monitoring & Evaluation Program Indicators.
• Logical Framework.

Module 2: Introduction to Project Evaluation.

• What is project evaluation?
• Importance of project evaluation.
• Monitoring vs Evaluation.
• Project Evaluation design.

Module 3: Developing Evaluation Plan.

• Evaluation Purpose.
• Types of Evaluations.
• Evaluation Criteria.
• Developing Evaluation Questions.

Module 4: Planning for Data Collection.

• Identifying Evaluation Data Sources.
• Methods for Data Collection.
• Methods for Data Analysis.
• Completing Evaluation Matrix.

Module 5: Organizing Evaluation Work.

• Distribution of tasks.
• Developing Evaluation Work plan.
• Developing Evaluation Budget.

Module 6: Implementing Evaluation Plan.

• Identifying Evaluation Indicators.
• Developing Evaluation Tools.
• Use of Monitoring data in evaluation.
• Managing mixed methods of data collection.

Module 7: Mobile Data Collection.

• Conversion of paper-based questions to ODK forms.
• Configuration of ODK server aggregate.
• Field data collection using ODK collect.
• Export of data from ODK for further analysis.

Module 8: Quantitative Data Analysis – (Using  SPSS/Stata).

• Introduction to statistical concepts.
• Creating variables and data entry.
• Data reconstruction.
• Manipulation of variables.
• Descriptive statistics.
• Understanding data weighting.
• Inferential statistics: hypothesis testing, T-test, ANOVA, regression analysis.

Module 9: Qualitative Data Analysis.

• Principles of qualitative data analysis.
• Data preparation for qualitative analysis.
• Linking and integrating multiple data sets in different forms.
• Thematic analysis for qualitative data.
• Content analysis for qualitative data.
• Manipulation and analysis of data using NVivo.
• Data triangulation.

Module 10: Developing Evaluation Findings

• Consolidating Evaluation Matrix.
• Data triangulation.
• Constructing answers to evaluation questions.

Module 11: Evaluation Report.

• Developing Conclusions.
• Developing actionable recommendations.
• Delivering final evaluation report.
• Evaluation results dissemination.