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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pub: 2019-03-21
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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

Preface

Editor and contributor biographies

Introduction

Section I Test development, reliability, and generalizability

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)

Section II Undimensional Rasch measurement

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)

Section III Unvariate and multivariate statistical analysis

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 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

Companion

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