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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
Language: English
Authors: Trevor K. M. Day (ORCID 0000-0003-2911-8312), Arielle Borovsky, Donna Thal, Jed T. Elison
Source: Developmental Science. 2025 28(4).
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 18
Publication Date: 2025
Sponsoring Agency: National Institutes of Health (NIH) (DHHS)
National Institute on Deafness and Other Communication Disorders (NIDCD) (DHHS/NIH)
National Science Foundation (NSF), Graduate Research Fellowship Program (GRFP)
Contract Number: R01MH104324
U01MH110274
Document Type: Journal Articles
Reports - Research
Descriptors: Language Skills, Measures (Individuals), Children, Models, Data Analysis, Longitudinal Studies, Speech Impairments, Language Impairments, Learning Disabilities, Scores, Infants, Toddlers
Assessment and Survey Identifiers: MacArthur Bates Communicative Development Inventories
DOI: 10.1111/desc.70036
ISSN: 1363-755X
1467-7687
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.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1475002
Database: ERIC
FullText Text:
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  Data: <searchLink fieldCode="SO" term="%22Developmental+Science%22"><i>Developmental Science</i></searchLink>. 2025 28(4).
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  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
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  Data: 2025
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  Data: National Institutes of Health (NIH) (DHHS)<br />National Institute on Deafness and Other Communication Disorders (NIDCD) (DHHS/NIH)<br />National Science Foundation (NSF), Graduate Research Fellowship Program (GRFP)
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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.
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      – TitleFull: Modeling Longitudinal Trajectories of Word Production with the CDI
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