About
Purya Baghaei currently works at the Department of English, Islamic Azad University Mashhad Branch. He does research in Language Testing and Educational Assessment. Their current project is 'Comprehension Project' and 'Non-Parametric IRT models in Language Assessment.
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Experience
Associate Professor
Sep-2008 to PresentEducation
Publication
Development of a descriptive fit statistic for the Rasch model
Statistical hypothesis testing is commonly used to assess the fit of data to the Rasch models. Such tests of fit are problematical as they are sensitive to sample size and the number of para...
The contribution of cognitive abilities and general language proficiency to explaining listening comprehension in English as a foreign language
The present study aimed to investigate the relationship between a number of cognitive abilities (auditory/visual attention, processing speed, and fluid intelligence) and listening comprehens...
Cognitive Components of Writing in a Second Language: An Analysis with the Linear Logistic Test Model
Writing in a second/foreign language (L2) is a demanding task for L2 writers because it calls for multiple language abilities and (meta)cognitive knowledge. Research investigating the (meta)...
Exploring Rater Quality in Rater-Mediated Assessment Using the Non-parametric Item Characteristic Curve Estimation
A large number of researchers have explored the use of non-parametric item response theory (IRT) models, including Mokken scale analysis (Mokken, 1971), for inspecting rating quality in the ...
Evaluating Different Scoring Methods for the Speeded Cloze-elide Test: The Application of the Rasch Partial Credit Model
Cloze-elide tests are overall measures of both first (L1) and second language (L2) reading comprehension and communicative skills. Research has shown that a time constraint is an effective m...
Conference/Seminar/STTP/FDP/Symposium/Workshop
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Jul 2018
Psychometric evaluation of the d2 test of attention with the Rasch Poisson Counts Model
,
Jena, Thuringia, Germany-
Sep 2015
Modeling option position effects in multiple-choice items using multifaceted Rasch model
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Jena, Thuringia, Germany-
Jul 2011
Multidimensional Rasch models for language tests with multiple subtests: An approach to improve measurement precision
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Krakow, PolandMembership

Regular
https://www.eam-online.org/
Invited Position

Senior Research Analyst
https://www.iea.nl/
Honours & Awards

Best researchers in the social sciences in Khorasan Razavi
Iranian Ministry Interior
Year: 2021Doctoral and Master Thesis Guided
Mr
Navid Zolfaghari (Traditional)
Area of research: Test validation, methodology
Ms.
Sareh Sahebalam (Traditional)
Area of research: Evaluating rater effects in writing assessment
Scholar9 Profile ID
S9-092023-2500301

Publication
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Conferences/Seminar
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