Full Description
Quantitative Data Analysis for Language Assessment Volume II: Advanced Methods demonstrates advanced quantitative techniques for language assessment. The volume takes an interdisciplinary approach and taps into expertise from language assessment, data mining, and psychometrics. The techniques covered include Structural Equation Modeling, Data Mining, Multidimensional Psychometrics and Multilevel Data Analysis.Volume II is distinct among available books in language assessment, as it engages the readers in both theory and application of the methods and introduces relevant techniques for theory construction and validation. This book is highly recommended to graduate students and researchers who are searching for innovative and rigorous approaches and methods to achieve excellence in their dissertations and research. It is also a valuable source for academics who teach quantitative approaches in language assessment and data analysis courses.
Contents
Preface
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
