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jake-head-shot.jpgJake Young is a MD/PhD student at Mount Sinai School of Medicine focusing in Neuroscience. He is due to graduate in 2032. He received a BS and a MS in Biological Sciences from Stanford University -- where he spent most of his time drinking heavily and building vegetable catapults instead of learning information that would now be eminently useful. When he is not failing terrifically to perform his sworn duties, he enjoys watching bad movies, ethnic food, and running.

Pure Pedantry is a blog about science -- social sciences and otherwise -- as well as academic and scientific culture. No one can live on science alone, so I also like to dwell on pop culture, periodically explore the humanities, and indulge in other types of geeky goodness.

Jake is joined periodically by two wonderful guest bloggers: Kara Contreary and Kate Seip. See the About Page.

DISCLAIMERS: 1) Jake Young is not a licensed physician (yet). He is merely a medical student. The information published on this site is not intended for use in medical decision making. Please seek advice from a licensed, medical professional before making any health decisions. 2) The opinions expressed are my own or those of my co-bloggers. They do not represent the views of SEED magazine or the educational establishments we currently attend.

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Must Read on Intelligence and g-factor

Category: IntelligenceOther People's Work
Posted on: October 19, 2007 2:22 PM, by Jake Young

Here is a must-read post on g-factor by Three Toed Sloth:

Anyone who wanders into the bleak and monotonous desert of IQ and the nature-vs-nurture dispute eventually gets trapped in the especially arid question of what, if anything, g, the supposed general factor of intelligence, tells us about these matters. By calling g a "statistical myth" before, I made clear my conclusion, but none of my reasoning. This topic being what it is, I hardly expect this will change anyone's mind, but I feel a duty to explain myself.
To summarize what follows below ("shorter sloth", as it were), the case for g rests on a statistical technique, factor analysis, which works solely on correlations between tests. Factor analysis is handy for summarizing data, but can't tell us where the correlations came from; it always says that there is a general factor whenever there only positive correlations. The appearance of g is a trivial reflection of that correlation structure. A clear example, known since 1916, shows that factor analysis can give the appearance of a general factor when there are actually many thousands of completely independent and equally strong causes at work. Heritability doesn't distinguish these alternatives either. Exploratory factor analysis being no good at discovering causal structure, it provides no support for the reality of g.

These purely methodological points don't, themselves, give reason to doubt the reality and importance of g, but do show that a certain line of argument is invalid and some supposed evidence is irrelevant. Since that's about the only case which anyone does advance for g, however, which accords very poorly with other evidence, from neuroscience and cognitive psychology, about the structure of the mind, it is very hard for me to find any reason to believe in the importance of g, and many to reject it. These are all pretty elementary points, and the persistence of the debates, and in particular the fossilized invocation of ancient statistical methods, is really pretty damn depressing.

Read the whole thing.

Comments

a little linear algebra really makes the post more tasty.

Posted by: razib | October 19, 2007 7:08 PM

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