6 posts · 705 views
citation needed
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- March 12, 2010
- 09:20 PM
- 79 views
fMRI becomes big, big science
by Tal Yarkoni in citation needed
There are probably lots of criteria you could use to determine the relative importance of different scientific disciplines, but the one I like best is the Largest Number of Authors on a Paper. Physicists have long had their hundred-authored papers (see for example this individual here; be sure to click on the “show all authors/affiliations” [...]... Read more »
Biswal, B., Mennes, M., Zuo, X., Gohel, S., Kelly, C., Smith, S., Beckmann, C., Adelstein, J., Buckner, R., Colcombe, S.... (2010) Toward discovery science of human brain function. Proceedings of the National Academy of Sciences, 107(10), 4734-4739. DOI: 10.1073/pnas.0911855107
- March 5, 2010
- 09:44 PM
- 75 views
functional MRI and the many varieties of reliability
by Tal Yarkoni in citation needed
Craig Bennett and Mike Miller have a new paper on the reliability of fMRI. It’s a nice review that I think most people who work with fMRI will want to read. Bennett and Miller discuss a number of issues related to reliability, including why we should care about the reliability of fMRI, what factors influence [...]... Read more »
Bennett, C. M., & Miller, M. B. (2010) How reliable are the results from functional magnetic resonance imaging?. Annals of the New York Academy of Sciences. info:/
- February 27, 2010
- 12:50 AM
- 108 views
what’s adaptive about depression?
by Tal Yarkoni in citation needed
Jonah Lehrer has an interesting article in the NYT magazine about a recent Psych Review article by Paul Andrews and J. Anderson Thomson. The basic claim Andrews and Thomson make in their paper is that depression is “an adaptation that evolved as a response to complex problems and whose function is to minimize disruption of [...]... Read more »
Andrews, P., & Thomson, J. (2009) The bright side of being blue: Depression as an adaptation for analyzing complex problems. Psychological Review, 116(3), 620-654. DOI: 10.1037/a0016242
- February 4, 2010
- 02:57 AM
- 98 views
internet use causes depression! or not.
by Tal Yarkoni in citation needed
I have a policy of not saying negative things about people (or places, or things) on this blog, and I think I’ve generally been pretty good about adhering to that policy. But I also think it’s important for scientists to speak up in cases where journalists or other scientists misrepresent scientific research in a way [...]... Read more »
Morrison, C., & Gore, H. (2010) The Relationship between Excessive Internet Use and Depression: A Questionnaire-Based Study of 1,319 Young People and Adults. Psychopathology, 43(2), 121-126. DOI: 10.1159/000277001
- January 17, 2010
- 11:59 PM
- 137 views
how to measure 200 personality scales in 200 items
by Tal Yarkoni in citation needed
One of the frustrating things about personality research–for both researchers and participants–is that personality is usually measured using self-report questionnaires, and filling out self-report questionnaires can take a very long time. It doesn’t have to take a very long time, mind you; some questionnaires are very short, like the widely-used Ten-Item Personality Inventory (TIPI), which [...]... Read more »
Yarkoni, T. (2010) The Abbreviation of Personality, or how to Measure 200 Personality Scales with 200 Items. Journal of Research in Personality. DOI: 10.1016/j.jrp.2010.01.002
- November 22, 2009
- 01:35 AM
- 208 views
Ioannidis on effect size inflation, with guest appearance by Bozo the Clown
by Tal Yarkoni in citation needed
Andrew Gelman posted a link on his blog today to a paper by John Ioannidis I hadn’t seen before. In many respects, it’s basically the same paper I wrote earlier this year as a commentary on the Vul et al “voodoo correlations” paper (the commentary was itself based largely on an earlier chapter I wrote [...]... Read more »
Ioannidis, J. (2008) Why Most Discovered True Associations Are Inflated. Epidemiology, 19(5), 640-648. DOI: 10.1097/EDE.0b013e31818131e7
Yarkoni, T. (2009) Big Correlations in Little Studies: Inflated fMRI Correlations Reflect Low Statistical Power-Commentary on Vul et al. (2009). Perspectives on Psychological Science, 4(3), 294-298. DOI: 10.1111/j.1745-6924.2009.01127.x
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