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Xie, Qin – Language Assessment Quarterly, 2020
This article describes the steps we went through in designing and validating an item bank to diagnose linguistic problems in the English academic writing of university students in Hong Kong. Test items adopt traditional item formats (e.g., MCQ, grammatical judgment tasks, and error correction) but are based on authentic language materials…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Item Analysis
Bringula, Rex P.; Manabat, Geecee Maybelline A.; Tolentino, Miguel Angelo A.; Torres, Edmon L. – World Journal of Education, 2012
This descriptive study determined which of the sources of errors would predict the errors committed by novice Java programmers. Descriptive statistics revealed that the respondents perceived that they committed the identified eighteen errors infrequently. Thought error was perceived to be the main source of error during the laboratory programming…
Descriptors: Error Patterns, Programming, Programming Languages, Predictor Variables
Roehr, Karen – Applied Linguistics, 2008
Existing research indicates that instructed learners' L2 proficiency and their metalinguistic knowledge are moderately correlated. However, the operationalization of the construct of metalinguistic knowledge has varied somewhat across studies. Metalinguistic knowledge has typically been operationalized as learners' ability to correct, describe,…
Descriptors: Metalinguistics, Second Language Learning, Factor Analysis, Language Aptitude
D'Costa, Ayres – 1993
The Sato Caution Index takes into account the number and difficulty of items gotten wrong by a student within his or her ability, as well as the number and difficulty of items gotten right beyond his or her ability. Sato subtracts the two components to define a single Caution Index. In this study, the components are kept separate, defining a…
Descriptors: Ability, College Students, Error Patterns, Factor Analysis