Here's my interpretation, correct me if I'm wrong:
1. The g-factor and g-loadings are calculated by factor analysis based on a collection of various cognitive tasks
2. These collections typically *do not* include mind-reading tasks (even though mind-reading is arguably a cognitive task, what else could it be?)
3. If we were to include the RMET (and similar emotion-related tasks) into the datasets used to calibrate the g-factor, that would rotate the vector a little bit, and slightly change the loadings of the different tasks
4. That would slightly increase the average IQ score of women and decrease the average of men, possibly explaining a part of the gender gap
5. That may or may not improve the accuracy of IQ scores for predicting job performance/anti-social behaviour/etc (I suspect that recognizing emotions is relevant for job performance, at least in some jobs)
I will bet that people who think too much about the images do worse, and that timing it so that people were forced to rely on first impressions would improve the reliability of the results..
I have doubts when I finished the test as I have a very high score despite being a slightly autistic person, Do you know of any study that controls Hispanic voters tendencies by their race?
What does this mean for the claim that men's g-factor is higher than women's, that I think you mentioned some time ago?
According to a cursory search, it looks like women have been doing consistently better at mind-reading than men, with effect sizes around 0.2:
https://doi.org/10.1016/j.cpnec.2022.100162
https://psycnet.apa.org/record/2013-09240-009
https://www.pnas.org/doi/abs/10.1073/pnas.2022385119
Here's my interpretation, correct me if I'm wrong:
1. The g-factor and g-loadings are calculated by factor analysis based on a collection of various cognitive tasks
2. These collections typically *do not* include mind-reading tasks (even though mind-reading is arguably a cognitive task, what else could it be?)
3. If we were to include the RMET (and similar emotion-related tasks) into the datasets used to calibrate the g-factor, that would rotate the vector a little bit, and slightly change the loadings of the different tasks
4. That would slightly increase the average IQ score of women and decrease the average of men, possibly explaining a part of the gender gap
5. That may or may not improve the accuracy of IQ scores for predicting job performance/anti-social behaviour/etc (I suspect that recognizing emotions is relevant for job performance, at least in some jobs)
Am I understanding this correctly?
I always wondered how the "correct" emotion of the eyes was determined by the test's creators. A poll? Interviews with the subjects in the photos?
30/36, autism card revoked.
enjoyable post.
I thought sense of rhythm was uncorrelated with general intelligence.
I will bet that people who think too much about the images do worse, and that timing it so that people were forced to rely on first impressions would improve the reliability of the results..
I got 34/36 and the two I got wrong were my second choice. I found my first instinct was almost always correct.
I have doubts when I finished the test as I have a very high score despite being a slightly autistic person, Do you know of any study that controls Hispanic voters tendencies by their race?
I was mainly baffled by the women's eyes, but still did okay with 29/36.