Using notes from SRQM-TODO-2018. Other TODO files need to be added too.
Repeats of stuff already covered
With the aim of explaining better what the options are through a different use case:
working-with-summary-graphs.do
working-with-summary-statistics.do
working-with-survey-weights.do
working-with-regression-results.do
working-with-marginal-effects.do
working-with-clustered-standard-errors.do
Aim would be to have one 'extra' per week.
Extra stuff
working-with-wide-datasets-reshaping.do (will require a different dataset, e.g. OECD)
working-with-multiple-datasets-merging.do (use WEP? see Country-level data: World Economics and Politics Dataverse #24 )
Cronbach's alpha and/or factor to create synthetic indexes
PCA and clustering
multilevel models
panel models (will require adding a panel or CSTS dataset — see below)
maps! and possibly spatial models, segregation indexes (ask Antoine)?
Bayesian example (taken from Gelman et al.? Bread and Peace)?
Suggestion (3) might be a good 'extra'.
CSTS or panel datasets
CPDS , OECD, WDI are good candidates. Scruggs, if not too outdated?
See https://f.briatte.org/teaching/quanti/data for ideas.
Repeats of stuff already covered
With the aim of explaining better what the options are through a different use case:
Aim would be to have one 'extra' per week.
Extra stuff
Suggestion (3) might be a good 'extra'.
CSTS or panel datasets
CPDS, OECD, WDI are good candidates. Scruggs, if not too outdated?
See https://f.briatte.org/teaching/quanti/data for ideas.