2022
DOI: 10.1007/s11618-022-01108-w
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Bidirectional effects between reading and mathematics development across secondary school

Abstract: Reading and mathematical competencies are important cognitive prerequisites for children’s educational achievement and later success in society. An ongoing debate pertains to potential transfer effects between both domains and whether reading and mathematics influence each other over time. Therefore, the present study on N = 5185 students from the German National Educational Panel Study examined cross-lagged effects between reading and mathematics from Grades 5 to 12. The results revealed, depending on the cho… Show more

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Cited by 8 publications
(4 citation statements)
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References 101 publications
(176 reference statements)
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“…In light of the bidirectional effect between fluency in reading and arithmetic [29], we tested the mediation effect of EFs on the fluency cross-domain relationship in both directions (reading fluency → EFs → arithmetic fluency and vice versa). A mediation analysis was conducted using Model 4 of the add-on process macro [90].…”
Section: Mediation Modelsmentioning
confidence: 99%
“…In light of the bidirectional effect between fluency in reading and arithmetic [29], we tested the mediation effect of EFs on the fluency cross-domain relationship in both directions (reading fluency → EFs → arithmetic fluency and vice versa). A mediation analysis was conducted using Model 4 of the add-on process macro [90].…”
Section: Mediation Modelsmentioning
confidence: 99%
“…Reading abilities represent essential skills for successful participation in modern societies. Proficient reading abilities are not only important prerequisites to succeed in educational and occupational contexts (e.g., Spengler et al, 2018 ), but also shape the development of other domain-specific competences, such as mathematics ( Gnambs & Lockl, 2022 ). Therefore, the acquisition of appropriate levels of reading comprehension is a central goal in primary school.…”
Section: Components Of Reading Comprehensionmentioning
confidence: 99%
“…From a methodological perspective, a variety of approaches can be applied to analyse the data, especially those that require longitudinal data. Studies based on NEPS SC3 data, for example, used growth curve modeling (e.g., Herke et al, 2019), different cross-lagged panel models (e.g., Gnambs & Lockl, 2022;Kleinkorres et al, 2020), latent change score models (e.g., Brandt & Lechner, 2022) or latent growth mixture models (Freund et al, 2021).…”
Section: (4) Reuse Potentialmentioning
confidence: 99%