This module covers the variety of administrative data which can be used in official statistics, the techniques by which they can be combined with other data sources and used as a basis for statistical outputs, and the way in which quality of data and estimates which use administrative data are assessed and maintained. It compares the situations in different countries to demonstrate particular points.
Having successfully completed this module you will be able to:
A variety of methods will be used including lectures and workshops/tutorials, mixed in a 5 day course designed for students on release from the workplace. Students are also expected to read wider than the lecture material as part of their individual study, and to critically appraise different approaches.
| Type | Hours |
|---|---|
| Independent Study | 72 |
| Teaching | 28 |
| Total study time | 100 |
EU project on big data with links to relevant papers (requires CROS-portal enrolment).
Herzog, T. N., Scheuren, F. J., & Winkler, W. E. (2007). Data quality and record linkage techniques. Springer Science & Business Media.
Wallgren, A., & Wallgren, B. (2014). Register-based Statistics: statistical methods for administrative data. John Wiley & Sons.
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Exam | 100% |
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Exam | 100% |
Repeat type: Internal & External