Remote collection of language samples from three-year-olds.

Area of Science:

• Speech and Language Pathology
• Developmental Psychology
• Telehealth

Background:

• Remote data collection is increasingly utilized in child development research.
• Validating remote methods for language assessment is crucial for accessibility and scalability.
• Distinguishing language delays in toddlers requires reliable and accessible assessment tools.

Purpose of the Study:

• To evaluate the efficacy of remote language sample collection in three-year-olds.
• To compare language measures from remote samples with in-person samples.
• To determine if remote samples can differentiate typically developing children from those with language delays.

Main Methods:

• Characterized language samples from 48 typically developing three-year-olds using a remote picture description task via Zoom.
• Compared remote samples with in-person language samples from age-matched typically developing and language-delayed children (Child Language Data Exchange System).
• Analyzed lexical and grammatical measures between remote and in-person samples.

Main Results:

• Language samples collected remotely showed numerically dissimilar lexical and grammatical measures compared to in-person samples.
• Despite numerical differences, remote samples consistently distinguished between toddlers with and without language delays.
• Remote assessment via Zoom proved effective in identifying language differences.

Conclusions:

• Remote language sample collection is a viable method for assessing three-year-olds.
• This approach can reliably identify children with and without language delays, supporting early intervention.
• Telehealth methods offer a practical alternative for language sample collection in research and clinical settings.