Formalizing theories of child development: Introduction to the special section.

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Title: Formalizing theories of child development: Introduction to the special section.
Authors: Frankenhuis, Willem E. (AUTHOR), Borsboom, Denny (AUTHOR), Nettle, Daniel (AUTHOR), Roisman, Glenn I. (AUTHOR)
Source: Child Development. Nov2023, Vol. 94 Issue 6, p1425-1431. 7p.
Subjects: Child development, Children's language, Mathematical ability
Abstract: Here we introduce a Special Section of Child Development entitled "Formalizing Theories of Child Development." This Special Section features five papers that use mathematical models to advance our understanding of central questions in the study of child development. This landmark collection is timely: it signifies growing awareness that rigorous empirical bricks are not enough; we need solid theory to build the house. By stating theory in mathematical terms, formal models make concepts, assumptions, and reasoning more explicit than verbal theory does. This increases falsifiability, promotes cumulative science, and enables integration with mathematical theory in allied disciplines. The Special Section contributions cover a range of topics: the developmental origins of counting, interactions between mathematics and language development, visual exploration and word learning in infancy, referent identification by toddlers, and the emergence of typical and atypical development. All are written in an accessible manner and for a broad audience. [ABSTRACT FROM AUTHOR]
Copyright of Child Development is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Formalizing theories of child development: Introduction to the special section.
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  Data: <searchLink fieldCode="AR" term="%22Frankenhuis%2C+Willem+E%2E%22">Frankenhuis, Willem E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Borsboom%2C+Denny%22">Borsboom, Denny</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nettle%2C+Daniel%22">Nettle, Daniel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Roisman%2C+Glenn+I%2E%22">Roisman, Glenn I.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Child+Development%22">Child Development</searchLink>. Nov2023, Vol. 94 Issue 6, p1425-1431. 7p.
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  Data: Here we introduce a Special Section of Child Development entitled "Formalizing Theories of Child Development." This Special Section features five papers that use mathematical models to advance our understanding of central questions in the study of child development. This landmark collection is timely: it signifies growing awareness that rigorous empirical bricks are not enough; we need solid theory to build the house. By stating theory in mathematical terms, formal models make concepts, assumptions, and reasoning more explicit than verbal theory does. This increases falsifiability, promotes cumulative science, and enables integration with mathematical theory in allied disciplines. The Special Section contributions cover a range of topics: the developmental origins of counting, interactions between mathematics and language development, visual exploration and word learning in infancy, referent identification by toddlers, and the emergence of typical and atypical development. All are written in an accessible manner and for a broad audience. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Child Development is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/cdev.14020
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      – Code: eng
        Text: English
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      – SubjectFull: Mathematical ability
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              Text: Nov2023
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