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 SRCLD Presentation Details 

    Reliability and validity of selected measures based on short language samples  
Amy Wilder - University of Utah
Sean Redmond - University of Utah
Andrea Ash - University of Utah

SRCLD Year: 2020
Presentation Type: Special Session
Presentation Time: Sat, May 30, 2020 at 02:00 PM
Abstract View Full Summary
Language sample analysis (LSA) represents an ecologically valid and unbiased method for identifying children with developmental language disorder (DLD). LSA is, however, time-consuming. Debate continues on what constitutes sufficient sample length to ensure accurate assessment. In this study, play-based conversational language samples collected on children with DLD and children with typical language (TL) drawn from a community-based study sample were analyzed. Reliability measurements for the number of different words (NDW), total utterances (NTU), words per minute (WPM), MLU, percentage of maze words, number of errors, percent grammatical utterances (PGU), and subordinating index (SI) across 1, 3, and 7-minute cuts showed similar levels across the TL and DLD groups. MLU, NTU, and WPM reached acceptable reliability at 3-minutes for both groups. Additionally, errors, PGU, and mazes were reliable at 3-minutes for the DLD group. Significant group differences appeared on the number of errors, PGU, and mazes. With further refinement, measures from short language samples could become robust enough to help confirm DLD status. Funding source: NIDCD R01DC011023.
Author Biosketch(es)




Supported in part by: NIDCD and NICHD, NIH, R13 DC001677, Susan Ellis Weismer, Principal Investigator
University of Wisconsin-Madison - Department of Communication Sciences and Disorders