Full 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.
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
