Social status of Danish first names. Predicted and actual scores as of current model. R2-CV = 41% → r = .64. Using 104 features.pic.twitter.com/RW9SgYuRtN
-
thanks for the offer! How was social status predicted? Is there a codebook?
See previous study for the nature of the data. http://emilkirkegaard.dk/en/?p=5263 Study files:https://osf.io/t2h9c/files/
-
-
I'm using the "http://S.both.no .age" as my measure, which is based on 6 indicators and with age controlled.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Thanks a lot! Interesting read – you do love to play with data, don't you ;)
-
Now, if only someone would pay me to do this non-stop... :) That's the idea of my profile on Patreon, but we will see.
-
I'm keeping my fingers crossed!
End of conversation
New conversation -
-
-
I would have needed something exactly like this (names by SES) for a previous study of mine (in German, though)
-
You may be able to buy the data. Buying this data cost about 2k USD. Maybe similar price for DE data?
-
would be an overkill – I only needed a few high- vs. low-SES names for a vignette study ;) but thanks for the hint!
End of conversation
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.