Quantitative Data Analysis for Language Assessment Volume II

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

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

• Exames e avaliações
• Bilinguismo e multilinguismo
• Ensino e aprendizagem de linguas
• Ensaios e medições psicológicas

psychometric modelling;diagnostic classification;item response theory;longitudinal data analysis;cognitive diagnosis models;educational measurement techniques;advanced quantitative language testing methods