New data on text reading in English as a second language


Kuperman V., Schroeder S., Acarturk C., Agrawal N., Alexandre D. M., Bolliger L. S., ...Daha Fazla

STUDIES IN SECOND LANGUAGE ACQUISITION, cilt.47, sa.2, ss.677-695, 2025 (SSCI, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 47 Sayı: 2
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1017/s0272263125000105
  • Dergi Adı: STUDIES IN SECOND LANGUAGE ACQUISITION
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, IBZ Online, Periodicals Index Online, Communication & Mass Media Index, EBSCO Education Source, Education Abstracts, Educational research abstracts (ERA), ERIC (Education Resources Information Center), Linguistic Bibliography, Linguistics & Language Behavior Abstracts, MLA - Modern Language Association Database, Psycinfo, DIALNET
  • Sayfa Sayıları: ss.677-695
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

This paper reports an expansion of the English as a second language (L2) component of the Multilingual Eye Movement Corpus (MECO L2), an international database of eye movements during text reading. While the previous Wave 1 of the MECO project (Kuperman et al., 2023) contained English as a L2 reading data from readers with 12 different first language (L1) backgrounds, the newly collected dataset adds eye-tracking data on English text reading from 13 distinct L1 backgrounds (N = 660) as well as participants' scores on component skills of English proficiency and information about their demographics and language background and use. The paper reports reliability estimates, descriptive statistics, and correlational analyses as means to validate the expansion dataset. Consistent with prior literature and the MECO Wave 1, trends in the MECO Wave 2 data include a weak correlation between reading comprehension and oculomotor measures of reading fluency and a greater L1-L2 contrast in reading fluency than reading comprehension. Jointly with Wave 1, the MECO project includes English reading data from more than 1,200 readers representing a diversity of native writing systems (logographic, abjad, abugida, and alphabetic) and 19 distinct L1 backgrounds. We provide multiple pointers to new venues of how L2 reading researchers can mine this rich publicly available dataset.