Group differences in intelligence test performance

The increase in IQ test scores denoted by the Flynn effect has important implications for both practices and theory about test scores on standardized intelligence tests. The aim of this project is to apply Multi-group covariance and mean structure (MGCMS) analyses to inter-generational data sets in order to shed light on the nature and the causes of this increase. Furthermore these analyses should use a more precise selection variable (date of birth) instead of the comonly used division into generations of cohorts. A further aim of this project is to incorporate the recently proposed Dickens-Flynn model into MGCMS modeling.