Objective language proficiency measures have been found to provide better and more consistent estimates of bilinguals' language processing than self-rated proficiency (e.g., Tomoschuk et al., 2019; Wen & van Heuven, 2017a). However, objectively measuring language proficiency is often not possible because of a lack of quick and freely available language proficiency tests (Park et al., 2022). Therefore, quick valid vocabulary tests, such as LexTALE (Lemhöfer & Broersma, 2012) and its extensions (e.g., LexITA: Amenta et al., 2020; LEXTALE-FR: Brysbaert, 2013; LexPT: Zhou & Li, 2022) have been developed to reliably assess language proficiency of speakers of various languages. The present study introduces a Lexical Test for Malay Speakers (LexMAL), which estimates language proficiency for Malay first language (L1) and second language (L2) speakers. An initial 180-item LexMAL prototype was evaluated using 60 Malay L1 and 60 L2 speakers in Experiment 1. Sixty words and 30 nonwords with the highest discriminative power that span across the full difficulty range were selected for the final LexMAL based on point-biserial correlations and an item response theory analysis. The validity of LexMAL was demonstrated through a reliable discrimination between L1 and L2 speakers, significant correlations between LexMAL scores and performance on other Malay language tasks (i.e., translation accuracy and cloze test scores), and LexMAL outperforming self-rated proficiency. A validation study (Experiment 2) with the 90-item final LexMAL tested with a different group of Malay L1 (N = 61) and L2 speakers (N = 61) replicated the findings of Experiment 1. LexMAL is freely available for researchers at www.lexmal.org .
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http://dx.doi.org/10.3758/s13428-023-02202-5 | DOI Listing |
BMC Health Serv Res
January 2025
Mayo Clinic Health System Northwest Wisconsin, Eau Claire, Wisconsin, USA.
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January 2025
College of Medicine, Alfaisal University, Kingdom of Saudi Arabia.
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January 2025
School of Education, City University of Macau, Macao, China.
Despite extensive research on motivation in English as a Foreign Language (EFL) settings, demotivation within medical education remains underexplored. This mixed-method study employs the Situated Expectancy-Value Theory (SEVT) to investigate the demotivation of English learning experienced by 426 Chinese medical students in their English language learning. Utilising data collected from the adapted English learning demotivation questionnaire, quantitative analysis was conducted through exploratory factor analysis, confirmatory factor analysis, and correlation analysis.
View Article and Find Full Text PDFPLoS One
January 2025
Ludwig Boltzmann Institute for Digital Health and Patient Safety, Ludwig Boltzmann Gesellschaft, Vienna, Austria.
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Department of Internal Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX USA.
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