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Phantharakphong, Phatchara; Liyanage, Indika – Asia-Pacific Journal of Teacher Education, 2022
Understanding teacher learning, and relations between that learning and practice, has become a research priority in the quest for quality. Managerial policy discourses that commodify teachers as academic capital encourage institutions to adopt linear models of professional learning and development (PLD) as auditable value-adding, yet this…
Descriptors: Faculty Development, Correlation, Learning Processes, Value Added Models
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Afsharrad, Mohammad; Pishghadam, Reza; Baghaei, Purya – International Journal of Language Testing, 2023
Testing organizations are faced with increasing demand to provide subscores in addition to the total test score. However, psychometricians argue that most subscores do not have added value to be worth reporting. To have added value, subscores need to meet a number of criteria: they should be reliable, distinctive, and distinct from each other and…
Descriptors: Comparative Analysis, Scores, Value Added Models, Psychometrics
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Kavakli, Nurdan; Arslan, Sezen – International Journal of Curriculum and Instruction, 2017
Within the scope of educational testing and assessment, setting standards and creating guidelines as a code of practice provide more prolific and sustainable outcomes. In this sense, internationally accepted and regionally accredited principles are suggested for standardization in language testing and assessment practices. Herein, ILTA guidelines…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
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Sawaki, Yasuyo; Sinharay, Sandip – ETS Research Report Series, 2013
This study investigates the value of reporting the reading, listening, speaking, and writing section scores for the "TOEFL iBT"® test, focusing on 4 related aspects of the psychometric quality of the TOEFL iBT section scores: reliability of the section scores, dimensionality of the test, presence of distinct score profiles, and the…
Descriptors: Scores, Computer Assisted Testing, Factor Analysis, Correlation