Ok, fair. But Im not sure this settles the question of direction of causality. That will perhaps require an additional study.
-
-
Replying to @atlaz_chugged
It could be done using an experimental setup where subjects are given ambivalent info and asked whether they were discriminated against.
1 reply 0 retweets 1 like -
Replying to @KirkegaardEmil
Prediction here being that the less bright will be more likely to ascribe it to discrimination holding the ambiguity constant.
1 reply 0 retweets 1 like -
Replying to @KirkegaardEmil
I like this but I think at best it reveals what the first reg more or less confirms (association btwn IQ and perceived discrimination).
1 reply 0 retweets 0 likes -
Replying to @atlaz_chugged @KirkegaardEmil
But if we want to know whether lower IQ causes discrimination I think it has to be probed a diff way. Rough example: give respondents a
1 reply 0 retweets 0 likes -
Replying to @atlaz_chugged @KirkegaardEmil
passage "written by" a representative of each SIRE/skin_tone category and vary this passage in terms of quality (keeps content constant)
1 reply 0 retweets 0 likes -
Replying to @atlaz_chugged @KirkegaardEmil
then ask respondents to rate IQ of passage authors and likelihood of engagement in stereotypical behavior by authors. Check for correlation.
1 reply 0 retweets 0 likes -
Replying to @atlaz_chugged @KirkegaardEmil
Perhaps probe respondents further to see if they would treat authors differently based on their perception of conformity to stereotypes
1 reply 0 retweets 0 likes -
Replying to @atlaz_chugged @KirkegaardEmil
Hypothesis: perception of low IQ causes ppl to anticipate that individual conforms to neg stereotypes, leading to discriminatory treatment.
1 reply 0 retweets 0 likes -
Replying to @atlaz_chugged @KirkegaardEmil
This could "explain" the nature of that association we observe in the first regression results.
1 reply 0 retweets 0 likes
This approach doesn't work because stereotype accuracy colors the prior for SIRE groups differently.
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.