My challenge to folks who are skeptical about IQ tests such as the Stanford-Binet or WAIS-R: Develop your own measure of general cognitive ability and show that it has higher reliability & validity in predicting real-world success. I'll wait.
You are empirically absolutely wrong. The g factor can be extracted from factor analysis of any set of reliable mental tests in any population. https://en.wikipedia.org/wiki/G_factor_(psychometrics) …
-
-
This Tweet is unavailable.
-
Given a decent number of mental tests (about a dozen) and a decent sample of test-takers (at least a few hundred), the g factor extraction is highly robust across different factor analysis methods. Anyone who's worked with test data knows this.
- 4 more replies
-
-
-
Does one get the same g factor (or highly similar ones) when one extracts it from a battery of tests given to very different populations (in terms of ancestry, occupation, education, socioeconomic status)? How sample dependent is the g factor?
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
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.