Comparing Measures From Computer-Administered and Examiner-Administered Narrative Retells in Spanish: A Pilot Study
Purpose: Narrative language sample analysis (LSA) is a recommended best practice for the assessment of monolingual and bilingual children. With business-as-usual narrative LSA, examiners are actively involved in all aspects of the elicitation. Software advancements have shown multiple benefits of co...
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Veröffentlicht in: | American journal of speech-language pathology 2022-09, Vol.31 (5), p.2175-2185 |
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Sprache: | eng |
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Zusammenfassung: | Purpose: Narrative language sample analysis (LSA) is a recommended best practice for the assessment of monolingual and bilingual children. With business-as-usual narrative LSA, examiners are actively involved in all aspects of the elicitation. Software advancements have shown multiple benefits of computer-administered language assessments, some of which may be beneficial for narrative assessments, particularly for bilingual children. The goal of this pilot study was to test the feasibility of computer-administered narrative retells in bilingual children. Method: Ten English-Spanish bilingual children, kindergarten to fourth grade, completed two narrative retells using wordless picture books (Frog Goes to Dinner and Frog on His Own) in two conditions: examiner-administered and computer-administered. Five narrative measures were generated from these 20 transcripts. Results: Significant, strong correlations were observed between the two elicitation methods for four of the five measures. We completed a series of Wilcoxon signed-ranks tests and found no significant differences in measures across the elicitation methods. Follow-up descriptive analyses revealed few large differences across elicitation methods for the individual participants. Conclusion: This study provides preliminary evidence on the use of a computer-administered narrative procedure and motivates further research on the method to confirm its validity and to document its effectiveness within clinical practice. Supplemental Material: |
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ISSN: | 1058-0360 1558-9110 |
DOI: | 10.1044/2022_AJSLP-22-00008 |