Presentation for my talk for LCI15
Posted here as a sneak peak for those not coming, and for easy access for myself.
Posted here as a sneak peak for those not coming, and for easy access for myself.
Abstract Sizeable S factors were found across 3 different datasets (from years 1991, 2000 and 2010), which explained 56 to 71% of the variance. Correlations of extracted S factors with…
Paper PDF Abstract Two datasets of socioeconomic data was obtained from different sources. Both were factor analyzed and revealed a general factor (S factor). These factors were highly correlated with each other (.79…
Read the study PDF. Emil O. W. Kirkegaard, Ulster Institute for Social Research. Email: emil@emilkirkegaard.dk Abstract I reanalyze data reported by Richard Lynn in a 1979 paper concerning IQ and socioeconomic…
As Jason Malloy has mentioned, it is strange that in the race intelligence debates, people usually cite the same few studies over and over: Shortly after writing that post, I…
Abstract The S factor in 21 Italian regions was examined by reanalyzing data published by Lynn (Lynn, 2010) as well as new data compiled from the Italian statistics agency (7…
Abstract A dataset of 25 diverse socioeconomic indicators for US states was compiled and subjected to factor analysis. Results showed that Washington DC was a strong outlier, but if it…
Study PDF. Abstract I analyze the S factor in Chinese province-level units using data obtained from Lynn and Cheng (2013) as well as new data obtained from the Chinese statistical…
Paper PDF. Abstract I reanalyze data published by Lynn and Yadav (2015) for Indian states. I find both G and S factors which correlate at .61. Method of correlated vectors…
https://twitter.com/KirkegaardEmil/status/555217814488092673 So, she came up with: https://twitter.com/hbdchick/status/555223247244242944 So I decided to try it out, since I'm taking a break from reading Lilienfeld which I had been doing that for 5…