Training Course on ICT Tools for Modern Monitoring and Evaluation

Course Title: Training Course on ICT Tools for Modern Monitoring and Evaluation
Course venue: Kigali Rwanda
Course duration - 5 days
Registration Fee : 750 USD
Course dates
14th - 18th August 2023: https://bit.ly/3rraq1V
18th - 22nd September 2023: https://bit.ly/3rraq1V
23rd - 27th October 2023: https://bit.ly/3rraq1V
20th - 24th November, 2023: https://bit.ly/3rraq1V
Contacts: +250 784 481 618 or +250 786 156 256
E-mail: [email protected]
More information : https://bit.ly/3XKOhYA
About the Course
Modern monitoring and evaluation call for use of a variety of ICT tools for mobile data collection, data analysis (quantitative and qualitative) and reporting. A monitoring and evaluation practitioner is expected to interact with numerous software/application such as ODK, SPSS, Stata, NVivo, just to mention a few. This course aims to illustrate how the various ICT tools are applied in monitoring and evaluation.
Target Participants
This course is designed for researchers, project staff, development practitioners, managers, and decision-makers who are responsible for project or program-level M&E. The course aims to enhance the skills of professionals who need to research, supervise, manage, plan, implement, monitor, and evaluate development projects.
What you will learn
By the end of the course the learner should be able to:
• Understand qualitative and quantitative analysis approaches
• Understand different qualitative and quantitative data collection methods
• Use statistical software such as SPSS, Stata and Microsoft Excel for data analysis in monitoring and evaluation
• Use qualitative research software such as NVivo for data analysis in monitoring and evaluation
• Learn how to visualize monitoring and evaluation results
• Use software like ArcGIS or QGIS for spatial data analysis and mapping of M&E data
Course duration
5 days
Course Outline
Data Collection Methods and Tools
• Sources of M&E data –primary and secondary
• Qualitative data collection methods
• Quantitative data collection methods
• Participatory data collection methods
• Introduction to data triangulation
Mobile Data Collection
• Introduction to mobile data collection
• Setting up of mobile data collection platforms
• Setting up the server
• Design of data collection forms
Introduction to Data Analysis
• Introduction statistics and data analysis
• Understanding descriptive vs inferential statistics
• Understanding variables
• Introduction to data types
Statistical Data Management
• Data cleaning and management
• Exploring Data
• Descriptive analysis
• Frequencies
• Basic univariate analysis
• Cross tabulations
• Basic univariate analysis
• Cross tabulations
Comparison Tests
• Understanding parametric vs non-parametric tests
• Choosing a test – decision tree
• Parametric data- T test, ANOVA
• Non-parametric data
• Proportions
Tests of Association
• Introduction to correlation analysis
• Parametric data – Pearson correlation
• Nonparametric data – Spearman rank correlation
Regression Analysis
• Introduction to regression analysis
• Regression diagnostics – measurement error, multicollinearity, hetero skedasticity, endogeneity, non-normality
• Parametric data – linear regression analysis (simple and multiple regression)
• Non-parametric data – non parametric regression
• Categorical dependent variables – logit and probit regression models
Data Visualization
• Pivot tables
• Graphs and charts
• Dashboards
Introduction to Qualitative Research
• What is qualitative research?
• Dimensions of qualitative methods
• Qualitative research approaches
• Qualitative data collection methods
• Qualitative research study design
Introduction to NVIVO
• NVIVO Projects
• Nodes in NVIVO
• Classifications
• Coding
• Thematic Analysis using NVIVO
• Memos Annotations and Links
• Queries using NVIVO
• Qualitative Analysis Results Interpretation
• Qualitative Report Writing
Introduction to GIS
• Principles of GIS and Remote Sensing
• Components of GIS Systems
• GIS Capabilities and Functions
• Spatial Data Infrastructure
• Introduction to GIS data
• Spatial Reference Systems
• GIS data acquisition
• Map making using ArcGIS or QGIS software
• Loading GIS Data into a GIS software
• Key Options of Geospatial Data Representations
• Styling geographical features
• Producing final map (Spatial Analysis and Point pattern analysis)
• Buffer analysis
• Join analysis
• Point in polygon analysis
Training Approach
This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
Training manuals and additional reference materials are provided to the participants.
Certification
Upon successful completion of this course, participants will be issued with a certificate.
Tailor-Made Course
We can also do this as a tailor-made course to meet organization-wide needs. Contact us to find out more [email protected]
Payment
The training fee covers tuition fees, learning materials, and training venue. Accommodation and airport transfer are arranged for our participants upon request.
Payment should be sent to our bank account before start of training and proof of payment sent to [email protected]