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Training on Project Performance Evaluation

By: Data-Afrique Consultancy

Kenya

06 - 17 May, 2019  12 days

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USD 2,000

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.

Course Objectives

By the end of this course the participants will be able to:

  • 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
  • Use findings to make evaluation conclusions and recommendations

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.

Course Outline

  • Overview of M&E Fundamentals for Project Evaluation
  • Results Framework
  • Project Indicators of M&E
  • Logical Framework
  • Introduction to Project Evaluation
  • Meaning of project evaluation
  • Project evaluation importance
  • Monitoring versus Evaluation
  • Design of Project Evaluation
  • Developing Evaluation Plan
  • Purpose of Evaluation
  • Evaluations Types
  • Criteria of Evaluation
  • Evaluation Questions Development
  • Planning for Data Collection
  • Evaluation Data Sources Identification
  • Data Collection Methods
  • Data Analysis Methods
  • Completing Evaluation Matrix
  • Organizing Evaluation Work
  • Tasks Distribution
  • Evaluation Work plan
  • Evaluation Budget
  • Implementing Evaluation Plan
  • Evaluation Indicators Identification
  • Evaluation Tools
  • Use of Monitoring data in evaluation
  • Mixed methods of data collection management
  • Mobile Data Collection
  • Conversion of paper based questions to ODK forms
  • Configuration of ODK server aggregate
  • Collection of field data using ODK collect
  • Export of data from ODK for further analysis
  • Quantitative Data Analysis – (Using SPSS/Stata)
  • Introducing statistical concepts
  • Variables creation and data entry
  • Reconstruction of data
  • Manipulation of Variables
  • Descriptive statistics
  • Data weighting
  • Inferential statistics: hypothesis testing, T-test, ANOVA, regression analysis
  • Qualitative Data Analysis
  • Qualitative data analysis principles
  • Preparation of data for qualitative analysis
  • Linking and integrating multiple data sets in different forms
  • Qualitative data Thematic analysis
  • Qualitative data Content analysis
  • Using Nvivo to manipulate and analyze data
  • Data triangulation
  • Developing Evaluation Findings
  • Evaluation Matrix Consolidation
  • Data triangulation
  • Developing evaluation questions answers
  • Evaluation Report
  • Conclusions
  • Recommendations
  • Final evaluation report
  • Dissemination of evaluation results

General Notes

  • This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
  • Training manuals and additional reference materials are provided to the participants.
DATA-AFRIQUE TRAINING CENTRE, NAIROBI KENYA. May 06 - 17 May, 2019

Registration: 08:30:am - 08:30:am

Class Session: 08:00:am - 04:00:am

USD 2,000.00
(Convert Currency)

DUNCAN KARIUKI +254723360025

DATA-AFRIQUE CONSULTANCY
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