Quantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques, 1st Edition (Hardback) book cover

Quantitative Data Analysis for Language Assessment Volume I

Fundamental Techniques, 1st Edition

Edited by Vahid Aryadoust, Michelle Raquel

Routledge

272 pages

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Hardback: 9781138733121
pub: 2019-04-18
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Description

Quantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques is a resource book that presents the most fundamental techniques of quantitative data analysis in the field of language assessment. Each chapter provides an accessible explanation of the selected technique, a review of language assessment studies that have used the technique, and finally, an example of an authentic study that uses the technique. Readers also get a taste of how to apply each technique through the help of supplementary online resources that include sample data sets and guided instructions. Language assessment students, test designers, and researchers should find this a unique reference as it consolidates theory and application of quantitative data analysis in language assessment.

Table of Contents

Preface

List of Figures

List of Tables

Introduction

1. Item analysis in language assessment (Rita Green)

2. Univariate generalizability theory in language assessment (Yasuyo Sawaki and Xiaoming Xi)

3. Multivariate generalizability theory in language assessment (Kirby C. Grabowski and Rongchan Lin)

4. Applying Rasch measurement in language assessment: Unidimensionality and local independence (Jason Fan and Trevor Bond)

5. The Rasch Measurement Approach to Differential Item Functioning (DIF) analysis in language assessment research (Michelle Raquel)

6. Application of the Rating Scale Model and the Partial Credit Model in language assessment research (Ikkyu Choi)

7. Many-Facet Rasch Measurement: Implications for rater-mediated language assessment (Thomas Eckes)

8. Analysis of differences between groups: the t-test and the analysis of variance (ANOVA) in language assessment (Tuğba Elif Toprak)

9. Application of ANCOVA and MANCOVA in language assessment research (Zhi Li and Michelle Y. Chen)

10. Application of linear regression in language assessment (Daeryong Seo and Husein Taherbhai)

11. Application of exploratory factor analysis in language assessment (Limei Zhang and Wenshu Luo)

Index

About the Editors

Vahid Aryadoust is an Assistant Professor of language assessment literacy at the National Institute of Education of Nanyang Technological University, Singapore. He has led a number of language assessment research projects funded by, for example, the Ministry of Education (Singapore), Michigan Language Assessment (USA), Pearson Education (UK), and Paragon Testing Enterprises (Canada), and published his research in, for example, Language Testing, Language Assessment Quarterly, Assessing Writing, Educational Assessment, Educational Psychology, and Computer Assisted Language Learning. He has also (co)authored a number of book chapters and books which have been published by Routledge, Cambridge University Press, Springer, Cambridge Scholar Publishing, Wiley Blackwell, etc. He is a member of the Advisory Board of multiple international journals including Language Testing, Language Assessment Quarterly, Educational Assessment, Educational Psychology, and Asia Pacific Journal of Education. In addition, he has been awarded the Intercontinental Academia Fellowship (2018–2019) which is an advanced research program launched by the University-Based Institutes for Advanced Studies. Vahid’s areas of interest include theory-building and quantitative data analysis in language assessment, neuroimaging in language comprehension, and eye tracking research.

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 extensive assessment development and management experience in the Hong Kong education and government sector. In particular, she has either led or been part of a group that designed and administered large-scale computer-based language proficiency and diagnostic assessments such as the Diagnostic English Language Tracking Assessment (DELTA). She specializes in data analysis, specifically Rasch measurement, and has published several articles in international journals on this topic as well as academic English, diagnostic assessment, dynamic assessment of English second-language dramatic skills, and English for specific purposes (ESP) testing. Michelle’ research areas are classroom-based assessment, diagnostic assessment, and workplace assessment.

About the Series

Routledge Research in Language Education

The Routledge Research in Language Education series provides a platform for established and emerging scholars to present their latest research and discuss key issues in Language Education. This series welcomes books on all areas of language teaching and learning, including but not limited to language education policy and politics, multilingualism, literacy, L1, L2 or foreign language acquisition, curriculum, classroom practice, pedagogy, teaching materials, and language teacher education and development. Books in the series are not limited to the discussion of the teaching and learning of English only.

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Subject Categories

BISAC Subject Codes/Headings:
EDU000000
EDUCATION / General
EDU005000
EDUCATION / Bilingual Education
EDU030000
EDUCATION / Testing & Measurement
LAN020000
LANGUAGE ARTS & DISCIPLINES / Study & Teaching
PSY042000
PSYCHOLOGY / Assessment, Testing & Measurement