NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1474156
Record Type: Journal
Publication Date: 2025-Jul
Pages: 32
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0265-5322
EISSN: EISSN-1477-0946
Available Date: 0000-00-00
An Automatized Semantic Analysis of Two Large-Scale Listening Tests: A Corpus-Based Study
Language Testing, v42 n3 p312-343 2025
This study examined the semantic features of the simulated mini-lectures in the listening sections of the International English Language Testing System (IELTS) and the Test of English as a Foreign Language (TOEFL) based on automatized semantic analysis to explore the content validity of the two tests. Two study corpora were utilized, the IELTS corpus with 56 mini-lectures (38,944 words) and the TOEFL corpus with 285 mini-lectures (207,296 words). The reference corpus comprised 59 lectures from the Michigan Corpus of Academic Spoken English (MICASE), totaling 571,354 words. The corpora were submitted to automatized semantic tagging using "Wmatrix5." Three comparisons were conducted: IELTS versus TOEFL, IELTS versus MICASE lectures, and TOEFL versus MICASE lectures. The results suggest that IELTS and TOEFL mini-lectures shared 78% and 64% of the same semantic features as MICASE, respectively, supporting their relative content validity. Nevertheless, specific semantic categories, such as politics, war, and intimate and sexual relationships, were notably absent from the test corpora, even though they appeared in the academic lecture corpus. In addition, causal connectors are frequently used in both tests, while the mini-lectures of IELTS listening tests cover fewer academic discourse fields than TOEFL mini-lectures. Implications for content validity are discussed.
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: International English Language Testing System; Test of English as a Foreign Language
Grant or Contract Numbers: N/A
Data File: URL: https://osf.io/wjnyr/
Author Affiliations: 1National Institute of Education, Nanyang Technological University, Singapore