Examining the Impact of Sample Length on the Reliability of Narrative Retell Language Samples

Area of Science:

• Speech-Language Pathology
• Developmental Psychology
• Linguistics

Background:

• Clinicians face time constraints for comprehensive language sample analysis.
• Traditional narrative language samples can be time-consuming to elicit and analyze.
• Efficient and reliable assessment methods are crucial for clinical practice.

Purpose of the Study:

• To determine if shorter narrative language samples offer acceptable reliability compared to longer samples.
• To evaluate the clinical efficiency of brief narrative retells for language assessment.

Main Methods:

• 190 school-age children (grades 1-6) participated.
• Two brief narrative retells using the Narrative Language Measures (NLM) and one longer retell using Frog, Where Are You? (FWAY) were administered.
• Language productivity, complexity, and story grammar were analyzed using specialized software and protocols.

Main Results:

• The NLM subtest showed relative reliability with the FWAY sample.
• The NLM elicited significantly higher language complexity measures (subordination index, type-token ratio, words per minute).
• Mean length of utterance did not differ significantly between the NLM and FWAY.

Conclusions:

• Shorter narrative retells from complex models can elicit complex language and are academically relevant.
• The CUBED NLM subtest offers a clinically efficient, less cumbersome, and academically relevant language sample.
• Brief narrative assessments are valuable tools for clinicians to gather essential language data efficiently.