Quantitative Data Analysis For Language Assessment Volume Ii
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Quantitative Data Analysis for Language Assessment Volume II
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.
Quantitative Data Analysis for Language Assessment Volume I
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.
The Routledge Handbook of Second Language Acquisition and Language Testing
This Handbook, with 45 chapters written by the world’s leading scholars in second language acquisition (SLA) and language testing, dives into the important interface between SLA and language testing: shared ground where researchers seek to measure second language performance to better understand how people learn their second languages. The Handbook also reviews how to best measure and evaluate the second language (L2) learners’ personal characteristics, backgrounds, and learning contexts to better understand their L2 learning trajectories. Taking a transdisciplinary approach to research, the book builds upon recent theorizing and measurement principles from the fields of applied linguistics, cognitive science, psychology, psycholinguistics, psychometrics, educational measurement, and social psychology. The Handbook is divided into six key sections: (1) Assessment concepts for SLA researchers, (2) Building instruments for SLA research, (3) Measuring individual differences, (4) Measuring language development, (5) Testing specific populations, and (6) Measurement principles for SLA researchers.