In an era of demanding stakeholders’ expectations regarding financial probity, budgetary transparency and the proven impact value of funded work programs, monitoring and evaluation (M&E) remains one of those aspects of organizational management that is extensively discussed but rarely practiced.

This Module entails M&E data processing and setting up of effective M&E systems within organizations

Key Benefits

  • Develop a system to collect and compile data
  • Determine an appropriate method of analyzing, presenting and disseminating information to different stakeholders
  • Demonstrate the ability to use information to identify problems and implement changes
  • Describe and understand the various stages in an M&E system: planning, data collection, making data usable and using data for decision-making to help organizations reflect on and strengthen their plans

For Who

Senior managers and all professionals who might have undertaken the basic Monitoring & Evaluation training and need to progress to the advanced level.

Programme Structure

  1. Recap of module I
  2. Introduction to surveys
  3. Developing survey instruments and procedures
  4. Questionnaire design
  5. Sampling procedures
  6. Data gathering
  7.  Impact evaluations
    • What is impact?
    • Why monitor and/or evaluate impact?
    • Various techniques: randomization, difference in difference etc.
  8. Group discussions


Digital Data gathering (Open Data Kit)

  • Survey Authoring
  • Designing forms manually: Using XLS Forms
  • Hosting survey data and platforms for hosting
  • Configuring the server
  • Preparing the mobile phone for data collection
  • Downloading data
  • Working with Spatial data (GPS Coordinates)

Comparison of Data analysis packages Excel, SPSS, STATA, R etc.

  • Plenary discussion with participants
  • Rationale for choosing software for analysis
  • Qualitative vs. quantitative data
  • Variable selection and analytical needs
  1. Data quality: criteria and cleaning processes in excel/SPSS
  2. Data validation

Introduction to Excel for Data processing and Analysis

  1. Data Auditing and Validation using Excel
  2. Variable measures: categorical vs. interval
  3. Measures of central tendency and association
  4. Data visualization in excel: graphs, charts and tables
  5. Overview of SPSS
  6. Data Management and Graphics with SPSS

Running frequencies in SPSS

  1. Tests of significance: comparing groups/areas
  2. Tests of Association (Cross-tabs, Chi-Squared, Tau, Eta, Phi & Cramer’s V)

Difference (T Test, Chi-Squared)

  1.  Analysis of Variance (ANOVA)
  2.  Correlation Analysis (Pearson, Spearman)
  3. Regression Analysis
  4. Interpreting data: statistical inference
  5. Data for decision making
  6. Understanding stakeholder needs
  7. Knowledge management

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Developing Great African Leaders

Key Details

Date: 7th – 11th November 2022

Cost: Kshs. 110,000

Mode of Delivery: In-person

For more information, write to Change on eeopenprograms@strathmore.edu or cogwankwa@strathmore.edu.

Tel: +254 (0) 703 034 582 / Cell: +254 (0) 714 282 779

Visit: www.sbs.strathmore.edu.