ENHANCE YOUR SKILLS IN USING DATA ANALYSIS SOFTWARES FOR DECISION-MAKING AND PROGRAMMING
Practical data analysis in CSOs and the public sector is still needed by most organizations. The current trend towards accountability forces CSOs and the public to move towards making decisions that are informed by the evidence from field data. The data analysis course using IBM SPSS and NVivo is designed based on MS TCDC's vast experience in training and field experience in supporting the public sector, private sector, and CSOs to have practical skills in data analysis of both quantitative and qualitative research for meaningful interpretation of the M&E data for meaningful decision-making. The course is designed in modules to facilitate easy reading and a logical flow through the course. The focus is purely on quantitative and qualitative data analyses using IBM SPSS and NVivo. This course has been developed with the role of statistical data analysis packages in making meaningful M&E data interpretations for decision-making purposes in mind.
COURSE OUTCOMES
In the quantitative data analysis, the expected outcomes include:
- The main differences between quantitative and qualitative research
- The basic principles of different tools and methods used in quantitative and qualitative research
- The skills to import, enter and edit data in both IBM SPSS and NVivo packages
- Data analysis in IMB SPSS and NVivo
- The hypothesis testing: Significance and test selection for quantitative data analysis
- To answer research questions based on the research findings
- To do data presentation and reporting
WHAT YOU WILL LEARN
Level1: Quantitative Data Analysis
- Introduction to Quantitative Data Analysis, and Qualitative Data Analysis
- Introduction to Quantitative data analysis and IBM SPSS package
- Data Analysis and Presentation
Level 2: Qualitative Data Analysis
- The basics of qualitative data and Introduction to NVivo
- Memos and notes, Coding Stripes & highlights, and classifying Interviews and Focus groups
- Open-codes and thematic coding structure, Idea of queries, Idea of nodes and codes, and Data organization and management.
- Setting up projects
WHO THE COURSE IS FOR
- Development workers in development organizations, and private and public sectors
- Data processing coordinators/supervisors
- Data entry operators, researchers, demographers, and data managers.
- It is designed for all levels of persons who have basic computer knowledge at least and who are committed to working related to data processing of the research, and evaluation