Data analysis for decision making is crucial in the conduct of research. If the data generated are not well analysed and presented with the right statistical tools, reliable findings and conclusions would not be made. Furthermore, if the hypotheses formulated are not tested with the right statistical methods, wrong conclusions may be inferred. Proper analysis is, therefore, necessary for the researcher to provide objective answers to research questions and hypotheses.
Data analysis and decision making has significant challenges, particularly where research culture as practice has been neglected. Some researchers have not been exposed to statistical methods and computer application packages required for data analysis and decision making.
The workshop is designed to equip participants with the requisite competence in data analysis for effective decision making.
At the end of the workshop, participants will be able to
- Interpret descriptive statistics and tables
- Select an appropriate test of significance
- Process raw data, test formulated hypotheses using statistical tools
- Make inferences and draw valid conclusions from analysed data.
- Overview of Data Gathering Methods
- Introduction to Data Analysis
- Fundamentals of MS-Excel to Data Analysis
- Applications of MS-Excel in Data & Statistical Analysis
- Fundamentals of SPSS
- Descriptive Analysis using SPSS
- Introduction to E-views
- Application of E-views to Data Analysis
- Inferential Analysis using SPSS
- Research Hypothesis: Introduction to Concepts
- Hypotheses Testing
- The Role of Research in achieving Nigeria’s Vision 20:2020
- Research Findings and Conclusion
- Decision Making Techniques
- Using Research Findings for Decision Making
- Analytics: the future of Analytical Competing.
Research and Development Officers, Consultants, Statisticians, Lecturers, Trainers and Managers in public and private sector organizations involved in research activities. Persons engage in research activities for planning, policies, programmes and projects; research professionals in the various sector of the economy.
A. G. Odama