Organization: Africa School of Project Management
Registration deadline: 12 Mar 2017
Starting date: 13 Mar 2017
Ending date: 17 Mar 2017
About ASPM
The Africa School of Project Management (ASPM) was established in the year 2000 in Kenya as a membership based professional management organisation. The school was formed to address capacity building needs among development partners, donor organizations, Government agencies, International and private sector firms in Africa.
The school has been pivotal in capacity building in South Sudan, South Africa, Botswana, Eritrea, Ethiopia, Kenya, Uganda, Congo, Somalia, Tanzania, Burundi and Rwanda. The school has trained over 12,000 staffs who are involved in different projects and also conducted surveys, evaluations and research in different projects and businesses in Africa.
Course Objectives
Upon successful completion of this course participants should be able to:
Discuss the relevance of reliable data collection process in Research
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 SPSS
Conduct project Evaluations
Engage in project operational Research
Embrace use of data in informed decision making
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