I am doing an S factor study of US counties in the usual way. For that reason, I need some kind of county-level cognitive ability estimate. I know that this is possible to create using the Add Health database, but that the data are not sharable. However, it may be possible to do some tricks, […]

Paper is on Scihub. There are a few researchers engaged in the cognitive sociology adventure. Aside from myself and John Fuerst, Noah Carl has also taken up the task. There is of course also Richard Lynn, the grand old man of these studies (publishing his first in 1979). Mostly the job of doing these analyses […]

Due to lengthy discussion over at Unz concerning the good performance of some African groups in the UK, it seems worth it to review the Danish and Norwegian results. Basically, some African groups perform better on some measures than native British. The author is basically arguing that this disproves global hereditarianism. I think not. The […]

Abstract A reanalysis of (Carl, 2015) revealed that the inclusion of London had a strong effect on the S loading of crime and poverty variables. S factor scores from a dataset without London and redundant variables was strongly related to IQ scores, r = .87. The Jensen coefficient for this relationship was .86.   Introduction […]

Abstract A dataset was compiled with 17 diverse socioeconomic variables for 32 departments of Colombia and the capital district. Factor analysis revealed an S factor. Results were robust to data imputation and removal of a redundant variable. 14 of 17 variables loaded in the expected direction. Extracted S factors correlated about .50 with the cognitive […]

Abstract A factor analysis was carried out on 6 socioeconomic variables for 506 census tracts of Boston. An S factor was found with positive loadings for median value of owner-occupied homes and average number of rooms in these; negative loadings for crime rate, pupil-teacher ratio, NOx pollution, and the proportion of the population of ‘lower […]

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 cognitive ability were strong ranging from .69 to .81 depending on which year, analysis and dataset is chosen. Method of correlated vectors supported the interpretation […]

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 to .95), HDI (.68 to .93) and with cognitive ability (PISA; .70 to .78). The federal district was a strong outlier and excluding it improved results. Method […]

Abstract I reanalyze data reported by Richard Lynn in a 1979 paper concerning IQ and socioeconomic variables in 12 regions of the United Kingdom as well as Ireland. I find a substantial S factor across regions (66% of variance with MinRes extraction). I produce a new best estimate of the G scores of regions. The […]