Quantitative Data Analysis for Language Assessment, Volume I, IIКНИГИ » НАУКА И УЧЕБА
Название: Quantitative Data Analysis for Language Assessment, Volume I, II Автор: Edited by Vahid Aryadoust and Michelle Raquel Издательство: Routledge Год: 2019, 2020 Страниц: 289, 260 Размер: 10.53 МБ Формат: PDF Язык: English
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.
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.
Data Analytics Using R Название: Data Analytics Using R Автор: Seema Acharya Издательство: McGraw Hill Education Год: 2018 Страниц: 579 Язык: английский Формат: pdf...
Beginning Data Science in R Название: Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist Автор: Thomas Mailund Издательство: Apress...
Информация
Посетители, находящиеся в группе Гости, не могут оставлять комментарии к данной публикации.