Crime, income, educational attainment and employment among immigrant groups in Norway and Finland

Open Differential Psychology, 2014, ISSN: 2446-3884

Abstract

I present new predictive analyses for crime, income, educational attainment and employment among immigrant groups in Norway and crime in Finland. Furthermore I show that the Norwegian data contains a strong general socioeconomic factor (S) which is highly predictable from country-level variables (National IQ .59, Islam prevalence -.71, international general socioeconomic factor .72, GDP .55), and correlates highly (.78) with the analogous factor among immigrant groups in Denmark. Analyses of the prediction vectors show very high correlations (generally ±.9) between predictors which means that the same variables are relatively well or weakly predicted no matter which predictor is used. Using the method of correlated vectors shows that it is the underlying S factor that drives the associations between predictors and socioeconomic traits, not the remaining variance (all correlations near unity).



Keywords
country of origin, Crime, Denmark, educational attainment, employment, Finland, general socioeconomic factor, group differences, immigration, income, Intelligence, Islam, method of correlated vectors, national IQ, Norway, spatial transferability hypothesis

Reviewed by
Davide Piffer, John Fuerst, Meng Hu

Review time 43 days.