Advanced Monitoring & Evaluation- Online

Introduction

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) remain one of those aspects of organizational management that is extensively discussed but rarely practised.

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

Programme Benefits

After attending the programme, participants will be able to:

• 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

Target Audience

The programme is designed for senior managers and all professionals who might have undertaken the basic Monitoring & Evaluation training and need to progress to the advanced level.

Programme Structure

• Introduction to surveys
• Developing survey instruments and procedures
• Questionnaire design
• Sampling procedures
• Data gathering
• Impact evaluations
  1. Defining impact
  2. Why monitor and/or evaluate impact?
  3. Various techniques: randomization, the difference in difference etc.
• 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

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

Running frequencies in SPSS

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

Difference (T-Test, Chi-Squared)

• Analysis of Variance (ANOVA)
• Correlation Analysis (Pearson, Spearman)
• Regression Analysis
• Interpreting data: statistical inference
• Data for decision making
• Understanding stakeholder needs
• Knowledge management

Programme Date & Cost

Dates: 26^th October - 4^th November 2020

Cost: Ksh 56,000 / USD 573 per participant

(This will cover all learning materials and a certificate upon successful completion of the programme.)

Contact

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.

How to register:

Submit your online application on the link below

https://sbs.strathmore.edu/resources/professional-development-programmes-application-form/