@SashaGusevPosts Tbf, the more accurate interpretation is that the between-group difference is pretty much consistent with null diff, but this is interesting nevertheless.
@czstatistika Dobry den, skvele, diky. Lze uz nyni, pripadne bylo by mozne pridat, vypocet podilu z celkoveho poctu osob ve vekove kategorii? Nyni se podily pocitaji pouze z celkoveho poctu dojizdek/vyjizdek.
@dan_prokop@JanPruha Castecne tam vstupuje i (a) administrativa na strane skol, kazda prihlaska je samostatne spravni rizeni a (b) konani prijimacek na SS (fyzicky limit kapacit).
@HynekCigler@Fi1618@sebkova_vladka@MichalSotola@Nataa46640332@RadkoSablik@JiriStiplCZ@msmtcr 1/2 Pred par lety jsem se snazil do tematu proniknout studiem empirickych vyzkumu. Vzdal jsem to uz v reserni fazi. Studie v teto oblasti castokrat neupresnovaly estimand, selhavaly pri definici treatment/control stavu, spolehaly vyhradne na selection-on-observables predpoklad.
@LNummenmaa It all comes down to the question whether the LLMs do worse/same/better than humans for this particular task. I could see their point if there is no added-value using them.
@JanKuzebauch Trochu jina informace, ale pro zajimavost. Z setreni PISA 2018 publikovalo OECD vysledky zemi pred i po zohledneni SES zaku. CR takto "ziskala" +10 bodu, mnoho zapodoevropskych zemi "ztratily" (zeme razeny sestupne dle velikosti rozdilu):
@konvalinka_jan@Vedazije Prvni odstavec je "spravne", pokud by mel popisovat obecny stav veci. Jeho "spravnost" je ale tezko obhajitelna v pripade, ze hodnoti konkretni vystup. V podstate rika: ,,Efekt casopisu A vs. B na kvalitu publikace je minus 1–2 bodu."
@5_utr Using RCT does not strip you from the necessity of stating those assumptions as well. You just, by design, limit the millions of potential SCM/DAGs into few plausible ones.
@5_utr What I see as an advantage of CI approach is that you are forced to state all of the assumptions necessary for estimand derivation. Circularity is not a problem since the whole enterprise is build on the premise if A-B-C is true, then the effect of X on Y in population U is true.