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Interesting paper, but what about the age effects?

Posted by gregoryrsl on 05 Dec 2011 at 16:39 GMT

This is a quite impressive paper and potentially one of the most externally valid studies I have encountered in the whole decision neuroscience field. The inclusion of decision makers who have a range of real expertise making decisions in a domain relevant to that expertise is especially noteworthy. There is real potential to make generalizations to the broader pool of actual decision makers out in the world. This is in stark contrast to the many papers on economic decision making in 19 year old undergraduates - and to be honest, a real welcome relief.

As someone who is primarily interested in age differences in decision making, I was surprised that the age of the decision maker was not considered a relevant piece of this story. Experience (which is very highly correlated with age in your sample r = .83) is briefly mentioned in the discussion, but age is not discussed at all even though there is a 30 year span of adulthood sampled here (ages ranged from 29 to 59). I pulled some of the raw data together from your supplementary files and found that, in fact, age is an important part of the story.

There is a significant effect of age on the percentage of optimal choices, r = –.38, p = .02, and the individuals in the high performer group are marginally younger than the individuals in the low performer group, t33 = –1.9, p = .06. I wasn't able to examine any of the age effects in the imaging data, but I would bet they are there. Also, even if there "aren't" age differences in the neuroimaging or other pieces of behavioral data, these effects are interesting enough effect to stand alone as a separate paper. For example, there is a null effect of age on the difference in learning rates for success and failure, r = .23, p = .19 (although that effect may be underpowered).

In summary, I'm not suggesting that age completely accounts for the effects observed here, but it is accounting for at least a significant amount of the behavioral variance.

I would love to see all of the age effects, behavioral and neural, written up in a separate draft. This would make a strong contribution to the decision neuroscience of aging literature. If you pursue that, and I hope you do, go ahead and suggest me as a reviewer :)

No competing interests declared.

RE: Interesting paper, but what about the age effects?

mbhatt replied to gregoryrsl on 05 Dec 2011 at 18:37 GMT

Thanks for the feedback! To answer your question, you basically already have it. In the sample years of experience and age are highly correlated, and years of experience is actually a more significant correlate for performance, which is why we chose to report the years of experience of effect rather than the age effect. My personal hypothesis is that in this case the driver of the differences is in fact experience rather than age: specifically, experience tends to harden your priors and biases. There is a follow-up paper with a separate sample of physicians in preparation that should be able to start to address that issue.

No competing interests declared.