Aggiornamento della standardizzazione italiana del test delle Matrici Progressive Colorate di Raven (CPM). This test was used as inclusion criterion. Participant reading level was assessed by a standard reading test widely used for Italian children (MT Reading Test, Cornoldi et al., 1998).

These two relatively simple nonverbal tests are commonly used to assess general ability however, the present study shows that they can also provide useful information for predicting the academic performance of students with different sociocultural levels. Pcb5.0E Willem Eprom Programmer Software Download there. Finally, via step-down hierarchical regression analysis, the authors found that the predictive validity of both nonverbal tests is independent from the participants’ sociocultural level. The mutual incremental concurrent validity of the NNAT with the math test was significantly higher than the corresponding CPM validity. The CPM and NNAT concurrent and predictive validity coefficients were moderate, and there were no differences between concurrent and predictive validities with reading scores. CPM and NNAT scores were related to math and reading comprehension tests. The concurrent and predictive validities of the Naglieri Nonverbal Ability Test (NNAT) and Raven’s Colored Progressive Matrices (CPM) were investigated in a large group of Italian third-and fifth-grade students with different sociocultural levels evaluated at the beginning and end of the school year. The results of two further studies are given that confirm that IQs in the north of Italy are approximately 10 IQ points higher than in south. Other criticisms to the effect that the PISA tests are not measures of intelligence are refuted. All of these show that IQs are higher than in the north than in the south, although the differences are not as great as those I calculated. CBGMT give results for seven data sets for IQs in the north and south of Italy.

And (CBGMT) have eight criticisms of my paper (Lynn, 2010) claiming that the large north–south differences in per capita income in Italy are attributable to differences in the average levels of intelligence in the populations.

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