Description: To manage and undertake evidence-based research works following scientifically prove sampling design is a precondition and fundamental issue. A well-designed and structured sampling arrangement can significantly improve the data that could be collected from primary surveys and secondary sources. An optimal sample design, which minimizes the difference of key statistics should be employed. This training is concerned with the design of sample surveys and the statistical analysis of data collected from surveys. Topics covered are: sampling procedures and determination, sampling frame, sample unit selection, probabilistic and non-probabilistic sampling; population and sample, and best fit sample size. This training could also introduce to methods of collecting primary and secondary data through different methods.
Content: The training covers the following topics:
Topic 1: Sampling Procedure
Topic 2: Sample Selection
Topic 3: Type of Data
Topic 4: Methods of Data Collection
Target Group: The training is suited to researchers, students, academia or any other professional people working in the private sector, government institutions, research institutions and NGOs.
Requirements: A minimum of BA/BSc degree in economics, policy, development study and related discipline. In addition, Basic knowledge of Microsoft word and excel, and SPSS software.
Duration: Five days
Register now https://forms.gle/VCXqvDBrruBEcATv6