Abstract
Children’s worrying about their academic performance has profound implications for their learning and wellbeing in school. Understanding the contextual and psychological antecedents of students’ worry thus represents an important area of research. Drawing on Eccles and colleagues’ expectancy-value theory and Pekrun’s control-value theory and using data from the Childhood and Beyond Study, we examined the motivational underpinnings of elementary students’ worries about performing poorly in the domains of mathematics and reading (N = 805, grades 3, 4 and 6). With one exception, the analyses confirmed that children’s expectations of success in and valuing of mathematics and reading interacted in predicting children’s worry about these domains. Children’s worry was strongest when they rated their subjective abilities and expected success in mathematics and reading as relatively low but perceived these subjects as valuable. Moderated mediation analyses further suggested that when children’s self-concepts of mathematics and reading ability were low to moderate, students’ perceived parental valuing of their performance in these subjects indirectly positively predicted children’s worry via its positive impact on children’s own subjective valuing of mathematics and reading. Thus, when children perceive high academic performance as potentially difficult to attain, perceived parental valuing might negatively impact their wellbeing in school (by increasing not only their valuing of mathematics and reading, but also their performance-related worrying). Children’s gender, grade level, teacher-rated mathematics and reading aptitude, and prior self-reported worry about mathematics and reading performance were included as control variables in all analyses.
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Notes
The full set of variables used in the present study was available only for the third and fourth waves of data collection. Students in one of four participating school districts had transitioned to a new school in wave three, which resulted in increased worry independent of other variables. Here, we focus mainly on wave four variables, but control for wave three worry. Due to length constraints, analyses of school transition effects are beyond the scope of the present study.
Latent variables are not modelled due to single-item indicators for key constructs and because the number of free parameters would exceed the number of available teacher-students clusters in some models.
This interaction would have been significant if we had not included prior worry as a control variable (β = –0.06, p = .032). Thus, this interaction is significant when it predicts worry concurrently, but only marginally significant when it predicts change in worry relative to the previous school year (β = –0.05, p = .064).
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Appendix: Items, scales, and reliabilities
Appendix: Items, scales, and reliabilities
Tables 4 and 5 show the full list of teacher-rated and self-report items in the present study, scale reliabilities (Cronbach’s α), and intra-class correlations (ICC), which reflect systematic between-classroom variance. Note, however, that systematic between-classroom variance is not explained in our study, because our hypotheses involve only individual-level predictors. These coefficients are reported for descriptive purposes. Our analyses account for the nested structure of the data by using a complex design correction in Mplus 7.11.
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Lauermann, F., Eccles, J.S. & Pekrun, R. Why do children worry about their academic achievement? An expectancy-value perspective on elementary students’ worries about their mathematics and reading performance. ZDM Mathematics Education 49, 339–354 (2017). https://doi.org/10.1007/s11858-017-0832-1
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DOI: https://doi.org/10.1007/s11858-017-0832-1