Organization: Africa School of Project Management
Registration deadline: 05 Feb 2016
Starting date: 08 Feb 2016
Ending date: 12 Feb 2016
Course Objectives
Upon successful completion of this course participants should be able to:
- Discuss the relevance of reliable data collection process in Research
Come up with policy research proposals
Design appropriate research instruments
Use relevant computer packages for data management and extrapolation
Link research results to successful policy implementation
To introduce the concepts of monitoring and evaluation and the value of implanting it in programs/projects
To focus participant’s attention on monitoring and evaluation study designs
M&E Data Management and Analysis
To introduce participants to GIS software, data capture methods, analysis, data importation and mapping indicators using GIS Techniques)
Get hands on skills on STATA
Course Contents
- Fundamental concepts and tools for monitoring and evaluating programs Advanced Microsoft Excel.
- Observational data, quasi-experiments and correlation studies
- Social experiments, natural experiments and Randomized control trials Qualitative evaluation designs
- Conceptual issues in M&E data Data types and sources Planning data Collection
- Selecting study elements (Sampling) ICT tools for Data processing Comparison of Data analysis packages Basic data quality checks
- Basic exploratory data analysis procedures
- Introduction to Quantitative analysis (Descriptive Summaries, Data Tabulation methods) o Graphing qualitative data Graphing Quantitative data
- Performing common inferential statistical test (t-test, correlation, Chi Square, Analysis of variance (ANOVA)
- Regression analysis and econometrics
- Introduction to Geographic Information System (GIS)
- Introduction to GIS Software (Quantum GIS)
- Mobile GPS Field Work
- Mapping M&E Indicators with Quantum GIS
- Participatory Mapping and collective intelligence (Google Maps, Google Earth)
- Application and use of STATA
- Application/Use of Nvivo
- Importing and Coding Documents Importing and coding other items Classifying and Categorizing Data Grouping your data: collections and links Models and relationships
- Reporting and presenting your findings
Who Should Attend
The course is recommended for the following;
- Departmental heads
- Data manager
- Research students
- Project or Departmental managers
- Project officers
- Staffs involved in making informed decision
- Anyone involved in development project
- Anyone who aspires to be a good manager
- Researchers & M&E officers.
How to register:
Kindly apply through the online application form at...
http://www.aspm.co.ke/index.php/online-application or drop us mail at info@aspm.co.ke
The tuition fee is US D 1,490 Exclusive 16% VAT