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Modeling Longitudinal Trajectories of Word Production With the CDI.

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Title: Modeling Longitudinal Trajectories of Word Production With the CDI.
Authors: Day, Trevor K. M. (AUTHOR), Borovsky, Arielle (AUTHOR), Thal, Donna (AUTHOR), Elison, Jed T. (AUTHOR)
Source: Developmental Science. Jul2025, Vol. 28 Issue 4, p1-18. 18p.
Subjects: Gompertz functions (Mathematics), Language disorders, Speech disorders, Language acquisition, Inventories
Abstract: The MacArthur‐Bates Communicative Development Inventories (CDI) are widely used, parent‐report instruments of language acquisition. Here, we focus on the word‐inventory sections of the instruments, and show two different approaches to modeling CDI data, based on real‐world needs. First, we show that Words & Gestures data collected out‐of‐age‐normed‐range can be robustly adjusted to Words & Sentences scores. Second, we demonstrate a novel application of Gompertz growth curves to longitudinal CDI data, especially when the same timepoints were not collected between individuals (i.e., an accelerated longitudinal design). Gompertz curves provide a "growth rate" or an "age at maximum growth" parameter that can be used to summarize vocabulary development. We compare these parameters between healthy developing children in two longitudinal cohorts, as well as a cohort of children with a diagnosis of speech disorder, language disorder, or learning or reading disability, who we show to have lower growth rates. We hope these analyses and results inform future work on longitudinal CDI analyses. [ABSTRACT FROM AUTHOR]
Copyright of Developmental Science 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.)
Database: Psychology and Behavioral Sciences Collection
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  Data: The MacArthur‐Bates Communicative Development Inventories (CDI) are widely used, parent‐report instruments of language acquisition. Here, we focus on the word‐inventory sections of the instruments, and show two different approaches to modeling CDI data, based on real‐world needs. First, we show that Words & Gestures data collected out‐of‐age‐normed‐range can be robustly adjusted to Words & Sentences scores. Second, we demonstrate a novel application of Gompertz growth curves to longitudinal CDI data, especially when the same timepoints were not collected between individuals (i.e., an accelerated longitudinal design). Gompertz curves provide a "growth rate" or an "age at maximum growth" parameter that can be used to summarize vocabulary development. We compare these parameters between healthy developing children in two longitudinal cohorts, as well as a cohort of children with a diagnosis of speech disorder, language disorder, or learning or reading disability, who we show to have lower growth rates. We hope these analyses and results inform future work on longitudinal CDI analyses. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Developmental Science 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=186138041
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        Value: 10.1111/desc.70036
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        Text: English
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      – SubjectFull: Speech disorders
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              Text: Jul2025
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              Y: 2025
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