Kenya: Data Management and Analysis Using SPSS

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 SPSS

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
• 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 SPSS
• 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. e

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