In this lecture
- Locate existing sex-disaggregated administrative data
- Assess data quality before using it
- Work credibly with a partial dataset
More exists than most officers expect
Beneficiary registers, training attendance sheets and service uptake records are frequently already collected by sex, even where nobody has analysed them that way. The first step is rarely commissioning new data collection - it is asking what is already sitting in an existing register.
A partial dataset, used honestly, still helps
Where disaggregated data covers only part of a programme or a recent year, using it with that limitation stated is more credible than waiting for a complete dataset that may never arrive. State the coverage, and the gap becomes part of the evidence rather than a reason to say nothing.
Materials
Yours to keep, and usable away from the platform.
- Data source inventory - public sectorPDF · 680 KB
- Data quality checklistWorksheet · 70 KB
Design prototype - the attachments are placeholders and nothing downloads yet.
Lecture quiz
4 questions, plus 2 written questions at the end - taken whenever you are ready. This is what unlocks the next lecture.