Course Description
Data used to produce official statistics are collected from various sources using the appropriate methods relating to various data collection methodologies. Whether we are using administrative sources, sample surveys or data linking, the collection process does not come without challenges and certainly is not error-free. It is thus imperative for researchers to be able to identify the most relevant data source, the appropriate method to use in data collection and should also be able to design the process which reduces the challenges and minimize the errors. Our Certificate in “Introduction to Data Sources and Data Collection Methodologies” course provides insight into the different sources of data, various methods which can be used in data collection and the various challenges and sources of errors associated with data collection.
Course outline:
- Introduction to data collection methodologies
- The collection of data with surveys
- Planning the steps of the data collection process
- Sampling designs
- Target populations and sampling frames
- Sources of error in statistical operations
- Methods and modes of data collection methodologies
- Design of questionnaires to complement data collection methodologies
- The collection of data with administrative sources
- Statistics based on administrative information
- Data linkage and integration
- Evaluation of the quality of administrative data
- Protection of privacy and confidentiality