Abstract
This study suggests regression trees as a complementary tool to regression and SEM to respond to questions related with the influence of intelligence, personality, and their interplay on academic performance. Data from 818 secondary education students (402 girls and 416 boys) in aptitudes, personality, and academic performance in four learning areas: language (Catalan and Spanish) and science (Natural and Mathematics) were modelled with this technique. Two hypotheses articulated the presentation of this methodology. Aptitudes were much more relevant than personality to explain variance in academic performance. Verbal aptitude was particularly more relevant for girls than for boys.
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