2016-Apr-05, 23:29:41

Noah,

Thank you for reviewing the paper.

1)

I have updated the table so that they are sorted (highest first). The rationale for the other setup was to make it easier to see which variable was from which dataset. I guess that has little interest to the reader.

2)

I have added a note about this in the Discussion:

Finally, during the review, Noah Carl pointed out that Lynn (1979) employed a similar control and observed that this can have large effects (see also Kirkegaard (2015g) for a reanalysis that study).

3)

Added:

Okinawa is an outlier, but it is reasonably close to the regression line. If Okinawa is excluded, the correlation decreases to .54 [95CI: .29 to .72].

So, yes, influential, but not solely responsible for the result.

--

John Fuerst went over the paper and suggested formulation changes. I have followed his advise in most of the cases. The paper should now read somewhat better.

I have changed the reference system to APA.

New version uploaded: https://osf.io/zfw38/

Version #11.

Thank you for reviewing the paper.

1)

Quote:Table 1 would be easier for the reader to interpret if the variables were ordered by strength of correlation (from largest negative to largest positive, say).

I have updated the table so that they are sorted (highest first). The rationale for the other setup was to make it easier to see which variable was from which dataset. I guess that has little interest to the reader.

2)

Quote:Analogous to Emil's finding that many of the correlations between S variables and cognitive ability became more sensical after conditioning on population density, Lynn (1979) reported a positive correlation between IQ and crime rates across regions of the British Isles, which then fell to zero when conditioning on urbanisation. He noted:

"The positive correlation between crimes rates and mean population IQ (r = + 0.51) is surprising in view of the many findings of a negative relation among individuals... When urbanization is partialled out the correlation between crime rates and mean population IQ drops to zero. Perhaps this is the true relationship between crime and intelligence."

Perhaps Emil would like to mention this.

I have added a note about this in the Discussion:

Finally, during the review, Noah Carl pointed out that Lynn (1979) employed a similar control and observed that this can have large effects (see also Kirkegaard (2015g) for a reanalysis that study).

3)

Quote:Underneath Figure 7, Emit notes, "Okinawa is an outlier, but it is reasonably close to the regression line”. However, eyeballing the graph suggests to me that Okinawa may not only be an outlier, but also an influential point––at least to some extent. It would be worth reporting the correlation with and without Okinawa included in the sample.

Added:

Okinawa is an outlier, but it is reasonably close to the regression line. If Okinawa is excluded, the correlation decreases to .54 [95CI: .29 to .72].

So, yes, influential, but not solely responsible for the result.

--

John Fuerst went over the paper and suggested formulation changes. I have followed his advise in most of the cases. The paper should now read somewhat better.

I have changed the reference system to APA.

New version uploaded: https://osf.io/zfw38/

Version #11.