RESUMO
Although the interaction between anxiety and attention is considered crucial for learning and performance in mathematics, few studies have examined these cognitive and affective predictors in a single framework or explored the role of sustained attention in promoting children's arithmetic performance, using traditional linear analyses and latent profile analysis (LPA). In this paper, state anxieties (in a math test and in an attention test situation), general anxiety traits, sustained attention (performance-based test and attention deficit/hyperactivity disorder (ADHD) self-ratings) and math achievement of 403 fourth and fifth graders (55.8% girls) were assessed. A negative correlation between state anxiety prior to the math test and arithmetic achievements was identified, even when controlling for other non-math related state anxieties and general anxiety. Sustained attention was a strong predictor of arithmetic achievement and functioned as a moderator in the anxiety-performance link. LPA identified six distinct profiles that revealed a complex relationship with arithmetic fluency. The weakest achievement was found for a specific math anxiety subgroup. The findings highlight the important role of the interaction of anxiety and sustained attention in children's ability to perform math and enable new conclusions about the specific nature of math anxiety. Implications for future research are discussed.
RESUMO
Recent findings on the negative impacts of math anxiety (MA) have raised questions for educational and clinical research regarding effective intervention programs. One basic approach for developing intervention programs in the field of cognitive behavioral therapy is to gain an in-depth understanding of the cognitive beliefs of children with a specific mental problem. By applying latent profile analysis (LPA), the present study aimed at identifying different patterns of MA and providing further insights into its cognitive phenomenology. For this purpose, trait-MA, state-MA, attitudes toward math, academic self-concepts, fixed/growth mindsets, executive functions, and math performance of 475 fourth and fifth graders (48.2% girls) were assessed. LPA indicated seven distinct profiles characterized by different dimensions and patterns of state-MA, trait-MA, and core beliefs toward math. Furthermore, the profiles showed clearly different math performances. The weakest performances were found for a profile with highest state-MA, high trait-MA, and negative cognitive beliefs toward math and a profile with average state-MA, high trait-MA, and negative cognitive beliefs toward math, whereas the highest achieving profile had no state-MA, high trait-MA, and very positive cognitive beliefs toward math. The findings underline the complexity of MA and emphasize the necessity to develop interventions with careful consideration of the heterogeneous patterns.