The mean Southern Italian children IQ is not particularly low: A reply to R. Lynn (2010)

Text reading speed in a language with a shallow orthography benefits less from comprehension as reading ability matures

BACKGROUND

Reading can be assessed using different materials, including non-words and texts. Unlike reading words or non-words, reading a text may be supported by reading comprehension, and the extent of this support could change with the amount of schooling.

AIM

The present study aimed to examine how reading decoding in a shallow orthography like Italian changed with years of schooling, depending on the type of material and the contribution of non-word reading and reading comprehension to text reading speed.

METHODS

Six hundred and forty two typically developing Italian students from 8 to 16 years old were involved. They were administered grade-appropriate tasks assessing text reading speed, non-word reading speed, and reading comprehension.

RESULTS

The results showed that, although the two reading speed measures correlated closely, non-word reading speed improved only slightly with age, while the increase in text reading speed was steeper. Reading comprehension was a significant direct predictor of text reading speed after controlling for non-word reading speed. Importantly, however, while the difference in reading speed between non-words and text widened with schooling, the role of reading comprehension declined significantly, the ΔR² dropping from .10 in primary school to just .01 in high school.

CONCLUSIONS

These findings and their implications are discussed in the light of the relationship between reading comprehension and reading speed in a language with a shallow orthography across school grades.

Spearman’s Hypothesis Tested Comparing 47 Regions of Japan Using a Sample of 18 Million Children

Many groups differ in their mean intelligence score. Spearman’s hypothesis states that the differences are a function of cognitive complexity. There tend to be large differences on subtests of high cognitive complexity and small differences on subtests of low cognitive complexity. Spearman’s hypothesis has been supported by a large number of studies. Can Spearman’s hypothesis be generalized to regions of a country, where these regions differ in mean intelligence? We utilized data from 86 different cognitive tests from all 47 Japanese prefectures and correlated the g loadings of 86 subtests with standardized differences on the same subtests. Spearman’s hypothesis was clearly supported: the biggest differences between the regions were on the tests that were of the greatest complexity, meaning that Spearman’s hypothesis may be generalizable from groups to regions. In Japan, g loadings offer a better explanation of group differences in intelligence than cultural differences. Future research should explore whether Spearman’s hypothesis is also supported for differences between regions of other countries.

Spearman’s Hypothesis Tested Comparing 47 Regions of Japan Using a Sample of 18 Million Children

Many groups differ in their mean intelligence score. Spearman’s hypothesis states that the differences are a function of cognitive complexity. There tend to be large differences on subtests of high cognitive complexity and small differences on subtests of low cognitive complexity. Spearman’s hypothesis has been supported by a large number of studies. Can Spearman’s hypothesis be generalized to regions of a country, where these regions differ in mean intelligence? We utilized data from 86 different cognitive tests from all 47 Japanese prefectures and correlated the g loadings of 86 subtests with standardized differences on the same subtests. Spearman’s hypothesis was clearly supported: the biggest differences between the regions were on the tests that were of the greatest complexity, meaning that Spearman’s hypothesis may be generalizable from groups to regions. In Japan, g loadings offer a better explanation of group differences in intelligence than cultural differences. Future research should explore whether Spearman’s hypothesis is also supported for differences between regions of other countries.

IQ AND SOCIOECONOMIC DEVELOPMENT ACROSS REGIONS OF THE UK

Cross-regional correlations between average IQ and socioeconomic development have been documented in many different countries. This paper presents new IQ estimates for the twelve regions of the UK. These are weakly correlated (r=0.24) with the regional IQs assembled by Lynn (1979). Assuming the two sets of estimates are accurate and comparable, this finding suggests that the relative IQs of different UK regions have changed since the 1950s, most likely due to differentials in the magnitude of the Flynn effect, the selectivity of external migration, the selectivity of internal migration or the strength of the relationship between IQ and fertility. The paper provides evidence for the validity of the regional IQs by showing that IQ estimates for UK nations (England, Scotland, Wales and Northern Ireland) derived from the same data are strongly correlated with national PISA scores (r=0.99). It finds that regional IQ is positively related to income, longevity and technological accomplishment; and is negatively related to poverty, deprivation and unemployment. A general factor of socioeconomic development is correlated with regional IQ atr=0.72.