Modelo causal del rendimiento en matemáticas (11-12 años)

Abstract

This research intends to identify variables with influence on the Mathematics achievements in ll-12year-old students to base on them an individual diagnose of the students and enable the taking of decisions to help improve their achievements.

The research tries to build a theoretic model of casual relations between the considered variables and assess it by means of the LISREL technique of structural equation analysis.

Because of progressive adjustments of the model originally proposed we now propose a final model including the variables: Intelligence, Memory, Study Habits, Academic Selfconcept, Reading Comprehension and Problem Solving, that can provide the guidelines for a more accurate performance in the classroom.