Jey_snow 1y ago • 100%
@arandomthought that's very helpful, thank you so much!
Jey_snow 1y ago • 0%
@arandomthought
I read some similar comments online, but there were also positions contrary, but I think this makes sense.
And I didn't know about the infinite population thing, that is interesting.
If I may a follow up: despite p values, regression models and correlation tests can still be interesting to apply to census data to measure effect sizes and such, right?
Jey_snow 1y ago • 100%
@MarcusMuench @rstats @phdstudents @datascience @socialscience @org_studies
According to the second article:
"...A p value should be interpreted in terms of what would happen if you repeated the measurement multiple times with different samples..."
If I have a census, I would expect zero difference for repeating measurements due to random sampling. Therefore p values are irrelevant for census data.
Thanks for the references!
P values? Do they account solely for sampling error (therefore irrelevant when population data is available) OR do they serve to asses the likelihood of something being due to chance in other ways (therefore relevant for studies with population data)? Any links or literature are welcome :) [@rstats](https://lemmy.ml/c/rstats) [@phdstudents](https://a.gup.pe/u/phdstudents) [@datascience](https://a.gup.pe/u/datascience) [@socialscience](https://a.gup.pe/u/socialscience) [@org\_studies](https://a.gup.pe/u/org_studies)
Jey_snow 1y ago • 100%
@pop @Cachorroultravioleta eu falhei em entrar na sociedade tautologica, por não ter falhado em entrar na sociedade tautologica. Me resta o gueto do paradoxo😪