John,

They don't report standard deviations, so it isn't possible to calculate Cohen's d.

This report concerning schools in the Copenhagen area report SD as being: 1.01, 1.09 and 1.11 for years 2012, 2013 and 2014. But this is a between school number, not between-student number.

I had a look at UNI-C data explorer. One can fetch the raw numbers for how many got each grade here.

So, if I did this right, the gaps between groups are marked by orange in the spreadsheet I linked Peter to. Group difference d's are .50, .38, and .12.

I can calculate the predicted IQ gap by generation and age as well, but have not done so. This one should be compared with GPA to see how the estimated general intelligence difference compares with the grade difference.

(2014-Dec-30, 00:35:58)Chuck Wrote:(2014-Nov-26, 19:38:54)Emil Wrote: The new immigration report has come out. Every year the Danish Statistics Agency releases a report on immigration in Denmark. This year they have included quite a lot of more useful data. As a new thing, it includes GPAs for some countries of origin, but only for a small number and only for second generation. I will update the paper with these new data and analyses of them.

http://www.dst.dk/da/Statistik/Publikati...?cid=19004

To give some perspective, could you provide the standardized differences with respect to the indigenous Danish norm? This would better allow me to judge the generational effect. Is there no way to estimate how mix generation the first sample was? For example, comparing the first and second sample sample size.

One problem with interclass correlations is that it doesn't take into account the absolute differences. Thus, you might have a national-IQ second generation GPA correlation of 1, with trivial actual differences. Thus, providing standardized differences is helpful.

They don't report standard deviations, so it isn't possible to calculate Cohen's d.

This report concerning schools in the Copenhagen area report SD as being: 1.01, 1.09 and 1.11 for years 2012, 2013 and 2014. But this is a between school number, not between-student number.

I had a look at UNI-C data explorer. One can fetch the raw numbers for how many got each grade here.

Code:

`Count Grade (x-mean)^2`

405 -3 95.05

16428 0 45.56

56625 2 22.56

115647 4 7.56

143423 7 0.06

101669 10 10.57

63873 12 27.57

Weighted mean

6.75

Weighted var

11.61

Weighted SD

3.41

So, if I did this right, the gaps between groups are marked by orange in the spreadsheet I linked Peter to. Group difference d's are .50, .38, and .12.

I can calculate the predicted IQ gap by generation and age as well, but have not done so. This one should be compared with GPA to see how the estimated general intelligence difference compares with the grade difference.