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Advanced Monitoring & Evaluation

Countries
Kenya
Sources
Strathmore Univ.
Training date
to
Registration deadline
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

Fee information

KES. 110,000 (tuition, learning materials, certificate, meals, excludes accommodaion)

How to Register

https://sbs.strathmore.edu/advanced-monitoring-and-evaluation-programme/