Determining an Effective Language Sample Elicitation Strategy for Early Language Learners Who Speak Using Augmentative and Alternative Communication

Abstract

Purpose: This study evaluates three different language sample elicitation strategies to determine a valid elicitation strategy for early language learners who speak using augmentative and alternative communication (AAC). Method: Ten children who speak using AAC participated in this study. Language samples were elicited from each participant using three strategies: the Communication and Symbolic Behavior Scales (CSBS), a generic play-based elicitation strategy, and automatic data logging. Samples were transcribed and coded. Additionally, each participant's school speech-language pathologist completed a Communication Matrix. Data from coded language samples were correlated with Communication Matrix results to determine the elicitation strategy that yielded the most valid language sample in comparison to Communication Matrix results. Results: Both the CSBS and the play-based strategy yielded clinically relevant information. Because the log lacked communicative context, resulting data from the log was limited. An analysis of variance revealed significant differences in the amount of information elicited from each elicitation strategy. The CSBS repeatedly elicited the most data, followed by the play-based strategy and then the log. Generic play-based strategy results yielded the most correlations with Communication Matrix data. Conclusions: This preliminary data suggest that the play-based elicitation strategy elicited the most valid language sample when compared to the Communication Matrix from early language learners who speak using AAC. Additionally, results suggest that the CSBS may be an effective tool to measure the limits of this population's expressive language abilities.