Advanced Monitoring and Evaluation Programme - Registration of Interest

Register

Kindly fill in the form below to express your interest in the programme.

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

Topics

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

Request Brochure

Kindly fill in the form below and we shall send the brochure to you

Contacts

For more information, write to Richard on eeopenprograms@strathmore.edu or rwanjohi@strathmore.edu call +254 (0) 703 034 796 (Tel) / +254 (0) 722 488 399 (Cell)