DOING L2 SPEECH RESEARCH ONLINE: WHY AND HOW TO COLLECT ONLINE RATINGS DATA

نویسندگان

چکیده

Abstract Listener-based ratings have become a prominent means of defining second language (L2) users’ global speaking ability. In most cases, local listeners are recruited to evaluate speech samples in person. However, many teaching and research contexts, recruiting may not be possible or advisable. The goal this study was hone reliable method L2 online through Amazon Mechanical Turk (AMT) using blocked rating design. Three groups were recruited: laboratory raters two AMT groups, one inclusive the dialects which speakers had been exposed another variety dialects. Reliability assessed intraclass correlation coefficients, Rasch models, mixed-effects models. Results indicate that can highly as long appropriate quality control measures adopted. results guide future work with samples.

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ژورنال

عنوان ژورنال: Studies in Second Language Acquisition

سال: 2021

ISSN: ['1470-1545', '0272-2631']

DOI: https://doi.org/10.1017/s0272263121000292