The fact you don't want to use Wicherts data may not protect you from criticism. If adding more tables is lot of works, why not just compute the correlations and just say (in the text) that it didn't change your results ? Also, the fact you use Altinok achievement score is good, but it's not IQ test. Although it can protect you somewhat, it's more definitive to use Wicherts data.
Wicherts et al. only provided data for a limited number of countries. And some of the estimates are suspect (e.g., Sierra Leone 91.3, Uganda 83.9, Nigeria 83.8) given the newer achievement data. The same can be said for some of Malloy's estimates e.g., DR 92.
Whatever the case, since you asked, I made a new variable called Wicherts-Malloy-Lynn IQ which represents Lynn's 2012 IQs with the following substitutions:
(I put in bold the implausibly high estimates)
(Wicherts et al: used scores that met the authors' criteria first, if none, then used average of all scores presented in their table 5.)
Wicherts et al.'s scores
Sierra Leone 91.3
South Africa 77.1
Malloy: used HVIQ Scores:
Dominican Republic 92
R-matrix is attached. As with updated SPSS file.
I hesitate to report these results because one could make a million micro substitutions. Why not add e.g., Chuck's unpublished south east Asian IQs? Then we could have a Wicherts-Malloy-Lynn-Chuck average. This gets out of hand, though.
But let me know what you would prefer that I do. And thanks for the helpful and thorough reviewing.