Evaluating Evidence for the Reliability and Validity of Lexical Diversity Indices in L2 Oral Task Responses
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| Title: | Evaluating Evidence for the Reliability and Validity of Lexical Diversity Indices in L2 Oral Task Responses |
|---|---|
| Language: | English |
| Authors: | Kristopher Kyle (ORCID |
| Source: | Studies in Second Language Acquisition. 2024 46(1):278-299. |
| Availability: | Cambridge University Press. 100 Brook Hill Drive, West Nyack, NY 10994. Tel: 800-872-7423; Tel: 845-353-7500; Fax: 845-353-4141; e-mail: subscriptions_newyork@cambridge.org; Web site: https://www.cambridge.org/core/what-we-publish/journals |
| Peer Reviewed: | Y |
| Page Count: | 22 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Second Language Learning, Second Language Instruction, Oral Language, Validity, Reliability, Language Proficiency, Vocabulary Skills, Task Analysis, Speech Communication, Computational Linguistics, Written Language, Scores, Correlation, Indexes |
| DOI: | 10.1017/S0272263123000402 |
| ISSN: | 0272-2631 1470-1545 |
| Abstract: | Although lexical diversity is often used as a measure of productive proficiency (e.g., as an aspect of lexical complexity) in SLA studies involving oral tasks, relatively little research has been conducted to support the reliability and/or validity of these indices in spoken contexts. Furthermore, SLA researchers commonly use indices of lexical diversity such as Root TTR (Guiraud's index) and D (vocd-D and HD-D) that have been preliminarily shown to lack reliability in spoken L2 contexts and/or have been consistently shown to lack reliability in written L2 contexts. In this study, we empirically evaluate lexical diversity indices with respect to two aspects of reliability (text-length independence and across-task stability) and one aspect of validity (relationship with proficiency scores). The results indicated that neither Root TTR nor D is reliable across different text lengths. However, support for the reliability and validity of optimized versions of MATTR and MTLD was found. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | EJ1438127 |
| Database: | ERIC |
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