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 the 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 the 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
• The 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

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Contacts

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.