Research Database

Predicting expressive language from early vocalizations in young children with Autism Spectrum Disorder: Which vocal measure is best?

Topic:

Autism Spectrum Disorder

Journal/Publication:

Journal of Speech Language and Hearing Research

Year:

2020
Participant Age Range:
13 –
30 months

Sample Size:

87

Participant Language:

English

Abstract:

Purpose: This study was designed to test the incremental validity of more expensive vocal development variables relative to less expensive variables for predicting later expressive language in children with Autism Spectrum Disorder (ASD). We devote particular attention to the added value of coding the quality of vocalizations over the quantity of vocalizations because coding quality adds expense to the coding process. We are also interested in the added value of more costly human-coded vocal variables relative to those generated through automated analyses.