RESUMEN
Why are some students more successful than others? We combined motivational and personality predictors and jointly examined the relevance of subject-specific academic self-concepts and Big Five personality traits for academic performance. Based on data from two independent studies of German 9th graders (Study 1: N = 1,508, Mage = 14.98 years, 51% female, 38% immigrant background; Study 2: N = 19,783, Mage = 15.10 years, 50% female, 36% immigrant background), we, first, estimated latent bivariate correlations to investigate the nomological net between these socioemotional characteristics. Second, using latent moderated regression models, we examined the role of the main and interaction effects of both characteristics for academic performance levels and changes assessed by grades and test scores. Finally, we tested whether the relevance of socioemotional characteristics for academic performance differed across sociodemographic characteristics. Five findings stand out: First, we established widely consistent nomological nets between the academic self-concepts and Big Five traits, especially regarding the German self-concept. Second, the domain-specific self-concepts were consistent predictors of different academic performance measures in the respective subject. Third, beyond the established main effects of openness and conscientiousness, all Big Five traits contributed to performance in some way. Fourth, despite some inconsistencies, socioemotional characteristics formed only synergistic interaction effects. Fifth, students' sociodemographic background was likewise important illustrating main effects on performance and foremost synergistic interaction effects with socioemotional predictors. Our results highlight the complex interplay between motivation, personality, and sociodemographic variables in predicting academic achievement and underline the need to be mindful of this interactive nature. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
RESUMEN
Despite their separate research traditions, intelligence and executive functioning (EF) are both theoretically and empirically closely related to each other. Based on a subsample of 8- to 20-year-olds of the standardization and validation sample (N = 1540) of an internationally available instrument assessing both cognitive abilities, this study aimed at investigating a comprehensive structural model of intelligence and EF tasks and at gaining insight into whether this comprehensive model is applicable across sexes and age groups as well as to a subsample of participants with (borderline) intellectual disabilities (IQ ≤ 85, n = 255). The results of our exploratory factor analysis indicated one common EF factor that could be sufficiently integrated into the intelligence model within our confirmatory factor analyses. The results suggest that the EF factor can be added into the model as a sixth broad ability. The comprehensive model largely showed measurement invariance across sexes and age groups but did not converge within the subsample of participants with (borderline) intellectual disabilities. The results and implications are discussed in light of the current literature.
RESUMEN
It is common practice in the educational system to foster high mathematical abilities in schools as well as in specific promotional programs. Still, little is known about the construct of mathematical giftedness itself. In line with intellectual investment theories, our study investigates the relationship between fluid intelligence (figural and numerical), openness, and the need for cognition with mathematical abilities. The current study is based on a sample (N = 115) of seventh graders participating in the application process for a promotion program. The results of our regression analyses show a positive link between fluid intelligence and mathematical abilities. However, neither the association with openness nor the need for cognition reached significance, emphasizing the importance of cognitive abilities for mathematical giftedness. Limitations and further directions are discussed.