Applied Statistical Methods for Data Analysis
A five day Short Learning Programme in Applied Statistical Methods of Data Analyses for Postgraduate Level Studies and Research
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This course is designed to fulfil the needs of people who need to produce a research proposal for a postgraduate level study, and to analyse quantitative and qualitative data sets for producing research reports and dissertations. The course is offered as a five-day short course and it entails the write-up of proposals and dissertations as well as quantitative methods of data analyses. The statistical package, STATA, will be used for teaching
A first degree in the fields of social sciences, business sciences, entrepreneurial studies, economics, environmental sciences, public health, biostatistic and engineering or equivalent.
After completion of this course the delegate should be able to produce research proposals for a postgraduate level study, and perform data analysis in STATA and SPSS in areas that are related to frequency tables and summary statistics and crosstab analyses, and the construction of simple graphs such as pie charts and bar charts.
The following topics will be covered:
- The write-up of research proposals and journal articles
- Frequency tables and summary statistics (Descriptive statistics)
- The Pearson chi-square test of association (crosstab analyses)
- Simple graphs such as pie charts and bar charts in Excel software
- Examples in SPSS and STATA statistical packages
Who Should Attend
- All researchers and students in the fields of social sciences, business sciences, entrepreneurial studies, economics, environmental sciences, public health, biostatistics and engineering who wish to acquire basic skills in the use of STATA and SPSS and the production of research reports and articles.
- Monitoring and Evaluation practitioners and database administrators
- University graduates who wish to pursue postgraduate level studies and advanced research activities
- The short course is quite valuable to people who need to build capacity for conducting quantitative and qualitative research and data analyses as well as postgraduate level students and their supervisors.
- Researchers and postgraduate level students who wish to acquire skills in writing research proposals and dissertations
- A first degree in the fields of social sciences, business sciences, entrepreneurial studies, economics, environmental sciences, public health, biostatistics and engineering or equivalent