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Advanced Monitoring and Evaluation


Date: 18-22 September 2017

Venue: Strathmore University


OVERVIEW


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 LEARNING

  • 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) Tests of

 

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 

 

REGISTRATION

 

To register, click here.

 

PAYMENT PROCEDURE

 

Fees Paid in Cash should be deposited into:

Bank details

Name: Strathmore University

Bank: Standard Chartered Bank

Account Number: 0102044844000 (KES): 8702044844000 (USD)

Branch: Karen

Swift Code: SCBLKENX

Admission number code: 99020#1027

  • Fees Paid By Cheque: Nairobi cheques can be paid directly to Strathmore University, but ONLY if the cheque is a banker’s cheque. Payments by personal cheques are not allowed.
  • Bank deposit slips should be completed in duplicate: the top copy is kept by the bank; the
  • Second copy should be given to the University Cashier, who will issue a receipt for it. 

 

CANCELLATION POLICY:

 

1. Payment for the all courses includes a registration fee, which is non-refundable, and equals 20% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 13 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

 

NB:

ONCE PAYMENT IS COMPLETED KINDLY:

Email; ice@strathmore.edu 

 

 

Contact Details

Madaraka Estate
Ole Sangale Road, PO Box 59857,
00200 City Square
Nairobi, Kenya
Tel: 0703-034000, 0703-034200


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