2023
DOI: 10.1111/cdev.13990
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Formalizing developmental phenomena as continuous‐time systems: Relations between mathematics and language development

Charles C. Driver,
Martin J. Tomasik

Abstract: We demonstrate how developmental theories may be instantiated as statistical models, using hierarchical continuous‐time dynamic systems. This approach offers a flexible specification and an often more direct link between theory and model parameters than common modeling frameworks. We address developmental theories of the relation between the academic competencies of mathematics and language, using data from the online learning system Mindsteps. We use ability estimates from 160,164 observation occasions, acros… Show more

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Cited by 3 publications
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“…Using the interaction between development of language and mathematics skills as a case in point, Driver and Tomasik (2023) implement different theoretical views on how language and mathematics skills are related: (a) the thinking function hypothesis, which views both language and mathematics development as being influenced by a common factor, analogous to the g-factor of intelligence, (b) the medium function hypothesis, which suggests that improvements in language skills facilitate the development of mathematics skills, and (c) the specialization hypothesis, which specifies a trade-off whereby greater investments into one skill negatively affect the other (similar to the resource competition model of de Ron et al, 2023). Applying the framework of continuous time structural equation modeling to a large developmental dataset, Driver and Tomasik (2023) show how the different hypotheses may be represented in a common modeling framework. The paper is a valuable contribution, as it is both a substantial contribution to the literature, as well as a tutorial on how to translate theories into statistical models that can be used in the analysis of empirical data.…”
Section: T H E Pa Per S I N T H E Sect Ionmentioning
confidence: 99%
“…Using the interaction between development of language and mathematics skills as a case in point, Driver and Tomasik (2023) implement different theoretical views on how language and mathematics skills are related: (a) the thinking function hypothesis, which views both language and mathematics development as being influenced by a common factor, analogous to the g-factor of intelligence, (b) the medium function hypothesis, which suggests that improvements in language skills facilitate the development of mathematics skills, and (c) the specialization hypothesis, which specifies a trade-off whereby greater investments into one skill negatively affect the other (similar to the resource competition model of de Ron et al, 2023). Applying the framework of continuous time structural equation modeling to a large developmental dataset, Driver and Tomasik (2023) show how the different hypotheses may be represented in a common modeling framework. The paper is a valuable contribution, as it is both a substantial contribution to the literature, as well as a tutorial on how to translate theories into statistical models that can be used in the analysis of empirical data.…”
Section: T H E Pa Per S I N T H E Sect Ionmentioning
confidence: 99%