
Quantitative Data Analysis for Language Assessment Volume II
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Persons
Michelle Raquel is a senior lecturer at the Centre of Applied English Studies, University of Hong Kong, where she teaches language testing and assessment to postgraduate students. She has worked in several tertiary institutions in Hong Kong as an assessment developer and has either led or been part of a group that designed and administered large-scale diagnostic and language proficiency assessments such as Hong Kong Institute of Education's Tertiary English Language Test (TELT), Hong Kong University of Science and Technology's English Language Proficiency Assessment (ELPA), and Diagnostic English Language Tracking Assessment (DELTA), a government-funded inter-institutional project tasked to develop a computer-based academic English diagnostic test. She specializes in data analysis, specifically Rasch measurement, and has published several articles in international journals on this topic as well as on, academic English diagnostic assessment, English as a second language (ESL) testing of reading and writing, dynamic assessment of second language dramatiskills, and English for specific purposes (ESP) testing.
Content
List of Figures
List of Tables
Introduction
Part I. Advanced item response theory (IRT) models in language assessment1. Mixed Rasch modeling in assessing reading comprehension (Purya Baghaei, Christoph J. Kemper, Samuel Greif & Monique Reichert)
2. Multidimensional Rasch models in first language listening tests (Christian Spoden & Jens Fleischer)
3. The Log-Linear Cognitive Diagnosis Modeling (LCDM) in second language listening assessment (Tugba Elif Toprak, Vahid Aryadoust & Christine Goh)
4. Hierarchical Diagnostic Classification Models in assessing reading comprehension (Hamdollah Ravand)
Part II. Advanced statistical methods in language assessment
5. Structural equation modeling in language assessment (Xuelian Zhu, Michelle Raquel & Vahid Aryadoust)
6. Growth modelling using growth percentiles for longitudinal studies (Husein Taherbahi & Daeryong Seo)
7. Multilevel modeling to examine sources of Variability in Second Language Test Scores (Yo In'nami & Khaled Barkaoui)
8. Longitudinal Multilevel modeling to examine changes in second language test scores (Khaled Barkaoui & Yo In'nami)
Part III. Nature-inspired data mining methods in language assessment
9. Classification and Regression Trees in predicting listening item difficulty (Vahid Aryadoust & Christine Goh)
10. Evolutionary Algorithm-Based Symbolic Regression to determine the relationship of reading and lexico-grammatical knowledge (Vahid Aryadoust)
Index
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