Family Background and Individual Measures as Predictors of Turkish Primary School Children's Academic Achievement

The primary purpose of this study was to predict academic grade point averages (GPAs) of Turki primary school children, using family background and individual measures (sociometric standing, self-reported loneliness, and social efficacy) as predictors. We hypothesized that these two measures would explain the wide variation in GPA for samples differing with respect to sex and paternal education. Regression analyses with male and female subsamples revealed that the background measures explained twice as much variance in GPA, popularity, and loneliness for girls as for boys. Another finding was that the background measures explained a greater proportion of the variance in GPA for children with less-versus more-educated fathers, whereas individual measures explained a greater proportion of the variance for children with more as opposed to less educated fathers.