Predictors of academic achievement and academic self-concept: a longitudinal perspective

1997 ◽  
Vol 67 (3) ◽  
pp. 263-277 ◽  
Author(s):  
R. Daniel Muijs
1986 ◽  
Vol 62 (2) ◽  
pp. 577-578 ◽  
Author(s):  
Arthur G. Richardson ◽  
Jacintha Lee

The Coopersmith Self-esteem Inventory and the School Sentiment Index were administered to 215 West Indian middle-class 14-yr.-olds (95 boys and 120 girls) to assess their validity as predictors of academic achievement. Step-wise multiple regression analysis identified School-Academic, a self-concept measure, as the strongest predictor of academic achievement.


2007 ◽  
Vol 66 (3) ◽  
pp. 169-178 ◽  
Author(s):  
Virginie Bonnot ◽  
Jean-Claude Croizet

Based on Eccles’ (1987) model of academic achievement-related decisions, we tested whether women, who are engaged in mathematical fields at university, have internalized, to some extent, the stereotype about women’s inferiority in math. The results indicate that men and women do not assess their ability self-concept, subjective value of math, or performance expectancies differently. However, women’s degree of stereotype endorsement has a negative impact on their ability self-concept and their performance expectancies, but does not affect their value of the math domain. Moreover, members of both genders envisage stereotypical careers after university graduation.


2021 ◽  
pp. 108705472110120
Author(s):  
Kelly D. Carrasco ◽  
Chi-Ching Chuang ◽  
Gail Tripp

Objective: To identify common and shared predictors of academic achievement across samples of children with ADHD. Method: Two clinically referred samples from New Zealand (1 n = 88, 82% boys; 2 n = 121, 79% boys) and two community samples from the United States (3 n = 111, 65% boys; 4 n = 114, 69% boys), completed similar diagnostic, cognitive and academic assessments. Hierarchical multiple regression analyses identified significant predictors of word reading, spelling, and math computation performance in each sample. Results: Entered after IQ, semantic language, age at testing, and verbal working memory emerged as consistent predictors of achievement across academic subjects and samples. Visual-spatial working memory contributed to variance in math performance only. Symptom severity explained limited variance. Conclusions: We recommend evaluations of children with ADHD incorporate assessments of working memory and language skills. Classroom/academic interventions should accommodate reduced working memory and address any identified language weaknesses.


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