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Li, Shuai; Wen, Ting; Li, Xian; Feng, Yali; Lin, Chuan – Language Testing, 2023
This study compared holistic and analytic marking methods for their effects on parameter estimation (of examinees, raters, and items) and rater cognition in assessing speech act production in L2 Chinese. Seventy American learners of Chinese completed an oral Discourse Completion Test assessing requests and refusals. Four first-language (L1)…
Descriptors: Speech Acts, Second Language Learning, Second Language Instruction, Chinese
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Shermis, Mark D.; Mao, Liyang; Mulholland, Matthew; Kieftenbeld, Vincent – International Journal of Testing, 2017
This study uses the feature sets employed by two automated scoring engines to determine if a "linguistic profile" could be formulated that would help identify items that are likely to exhibit differential item functioning (DIF) based on linguistic features. Sixteen items were administered to 1200 students where demographic information…
Descriptors: Computer Assisted Testing, Scoring, Hypothesis Testing, Essays
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Ashwell, Tim; Elam, Jesse R. – JALT CALL Journal, 2017
The ultimate aim of our research project was to use the Google Web Speech API to automate scoring of elicited imitation (EI) tests. However, in order to achieve this goal, we had to take a number of preparatory steps. We needed to assess how accurate this speech recognition tool is in recognizing native speakers' production of the test items; we…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests
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Shahnazari-Dorcheh, Mohammadtaghi; Roshan, Saeed – English Language Teaching, 2012
Due to the lack of span test for the use in language-specific and cross-language studies, this study provides L1 and L2 researchers with a reliable language-independent span test (math span test) for the measurement of working memory capacity. It also describes the development, validation, and scoring method of this test. This test included 70…
Descriptors: Language Research, Native Language, Second Language Learning, Scoring