Modeling Longitudinal Trajectories of Word Production With the CDI

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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Publication Details

Journal
Developmental Science
Published
2025-06-16
DOI
https://doi.org/10.1111/desc.70036
Citations
2
Primary Topic
Language Development and Disorders
Type
article
Field-Weighted Citation Impact
10.33

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article

Modeling Longitudinal Trajectories of Word Production With the CDI

Arielle Borovsky, Jed T. Elison, Donna Thal, Trevor K. M. Day
2 citations
Developmental Science
Language Development and Disorders
10.33
article

Modeling Longitudinal Trajectories of Word Production With the CDI

Arielle Borovsky, Jed T. Elison, Donna Thal, Trevor K. M. Day
article en
2 citations

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.

Developmental ScienceVol. 28(4)
University of Minnesota (US), Georgetown University (US), Purdue University West Lafayette (US), San Diego State University (US)
National Science Foundation, National Institutes of Health, National Institute on Deafness and Other Communication Disorders
Quality Education
Openalex Percentile: Top 2%
Language Development and Disorders
10.33
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