04. Sex-disaggregated data: finding and using it

Lecture quiz

Quiz - Sex-disaggregated data: finding and using it

Gender-Responsive Budgeting. Unlimited attempts, no timer, and one pass mark for the whole platform - applied the same way to the 2 written questions below the multiple choice.

4 questionsPass mark 70%No results recorded+ 2 written questions

Questions

4

70% to pass

Attempts

-

no figures in this prototype

Pass rate

-

no figures yet

Average score

-

no figures yet

Questions

The correct answer and its explanation are shown together here so you can check them at a glance - neither is ever shown to a learner attempting the quiz, right or wrong.

  1. 1. Why can a budget line written in gender-neutral language still be gender-unequal in effect?

    • Because budgets are always biased
    • Because who actually uses a service can differ sharply even when the line's wording does not name any groupCorrect
    • Because gender-neutral language is illegal
    • Because it is never checked

    'Agricultural extension services' sounds neutral, but if officers visit only during hours or channels one group can access, the line reaches groups very unevenly in practice.

  2. 2. What is the main weakness of a gender budget statement that lists spending by ministry with no further comment?

    • It is too long
    • It restates the budget without analysing who it reachesCorrect
    • It omits the treasury's letterhead
    • It uses too many numbers

    A statement that lists figures without analysis is rejected as often as it is approved - reviewers are checking for analysis, not a restated budget.

  3. 3. Where does most sex-disaggregated administrative data actually come from?

    • A dedicated national household survey
    • Existing beneficiary registers and attendance records not yet analysed by sexCorrect
    • Data purchased from a private vendor
    • It generally does not exist anywhere

    Beneficiary registers and attendance sheets are frequently already collected by sex, even where nobody has analysed them that way yet.

  4. 4. Why does uncounted gender-responsive spending weaken an institution's next budget request?

    • It has no effect on future requests
    • A completed, evidenced report is the strongest argument for the next allocation, and uncounted spending provides noneCorrect
    • It triggers an automatic audit
    • It reduces the pass mark for future submissions

    A well-evidenced report is proof the previous investment worked. Spending that was never tagged and reported cannot be used to make that case.

Written questions

Optional - a lecture is complete without any. Add two-to-three sentence explanation questions where the multiple-choice quiz cannot tell whether an idea actually landed - as soon as one exists, a learner must pass it at 70%, the same platform-wide mark as the quiz, before the next lecture opens.

  1. 1. In two or three sentences: why is commissioning new data collection rarely the right first step for sex-disaggregated data?

    already collectedregistersattendanceexisting

    2 of 4 have to appear to pass.

    Model answer: Beneficiary registers and attendance sheets are frequently already collected by sex, even where nobody has analysed them that way. The first step is rarely new data collection - it is checking what already exists in an existing register.

  2. 2. In two or three sentences: why is a partial dataset, used honestly, more credible than waiting for a complete one?

    coveragelimitationstatedcredible

    2 of 4 have to appear to pass.

    Model answer: Where disaggregated data covers only part of a programme, using it with the coverage and its limitation clearly stated is more credible than waiting for a complete dataset that may never arrive.