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Mohammed, Aisha; Dawood, Abdul Kareem Shareef; Alghazali, Tawfeeq; Kadhim, Qasim Khlaif; Sabti, Ahmed Abdulateef; Sabit, Shaker Holh – International Journal of Language Testing, 2023
Cognitive diagnostic models (CDMs) have received much interest within the field of language testing over the last decade due to their great potential to provide diagnostic feedback to all stakeholders and ultimately improve language teaching and learning. A large number of studies have demonstrated the application of CDMs on advanced large-scale…
Descriptors: Reading Comprehension, Reading Tests, Language Tests, English (Second Language)
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Pelánek, Radek; Effenberger, Tomáš; Kukucka, Adam – Journal of Educational Data Mining, 2022
We study the automatic identification of educational items worthy of content authors' attention. Based on the results of such analysis, content authors can revise and improve the content of learning environments. We provide an overview of item properties relevant to this task, including difficulty and complexity measures, item discrimination, and…
Descriptors: Item Analysis, Identification, Difficulty Level, Case Studies
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Liao, Linyu – English Language Teaching, 2020
As a high-stakes standardized test, IELTS is expected to have comparable forms of test papers so that test takers from different test administration on different dates receive comparable test scores. Therefore, this study examined the text difficulty and task characteristics of four parallel academic IELTS reading tests to reveal to what extent…
Descriptors: Second Language Learning, English (Second Language), Language Tests, High Stakes Tests
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Tajeddin, Zia; Khatib, Mohammad; Mahdavi, Mohsen – Language Testing, 2022
Critical language assessment (CLA) has been addressed in numerous studies. However, the majority of the studies have overlooked the need for a practical framework to measure the CLA dimension of teachers' language assessment literacy (LAL). This gap prompted us to develop and validate a critical language assessment literacy (CLAL) scale to further…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests
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Nicklin, Christopher; Vitta, Joseph P. – Language Testing, 2022
Instrument measurement conducted with Rasch analysis is a common process in language assessment research. A recent systematic review of 215 studies involving Rasch analysis in language testing and applied linguistics research reported that 23 different software packages had been utilized. However, none of the analyses were conducted with one of…
Descriptors: Programming Languages, Vocabulary Development, Language Tests, Computer Software
Solak, Ekrem; Altay, Firat – Online Submission, 2014
The purpose of this research was to determine what types of reading strategies prospective English Teachers used to accomplish in their reading assignments and activities. The study was conducted at a state-run University, English Language Teaching Department in Turkey. The participants were 130 prospective English Teachers majoring English…
Descriptors: Preservice Teachers, English (Second Language), Second Language Instruction, Second Language Learning
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Zhang, Mo; Breyer, F. Jay; Lorenz, Florian – ETS Research Report Series, 2013
In this research, we investigated the suitability of implementing "e-rater"® automated essay scoring in a high-stakes large-scale English language testing program. We examined the effectiveness of generic scoring and 2 variants of prompt-based scoring approaches. Effectiveness was evaluated on a number of dimensions, including agreement…
Descriptors: Computer Assisted Testing, Computer Software, Scoring, Language Tests
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Papageorgiou, Spiros; Stevens, Robin; Goodwin, Sarah – Language Assessment Quarterly, 2012
Listening comprehension tests typically include both monologic and dialogic input to measure listening ability. However, research as to which type of input is more challenging for examinees remains limited and has provided inconclusive results (Brindley & Slatyer, 2002; Read, 2002; Shohamy & Inbar, 1991). A better understanding of the…
Descriptors: Listening Comprehension Tests, Test Items, Content Analysis, Listening Comprehension
Madsen, Harold S. – 1986
The most appropriate statistical model for the small-scale (n<100) studies common in language testing research is the Rasch one-parameter logistic model. The Rasch model provides a wide range of options for conducting research, refining existing examinations, and developing tailored (computerized adaptive) language tests. Three investigations…
Descriptors: Computer Assisted Testing, Computer Software, English (Second Language), Item Analysis