Quantitative Data Analysis for Language Assessment Volume I

Quantitative Data Analysis for Language Assessment Volume I

Author: Vahid Aryadoust

Publisher: Routledge

Published: 2019-03-27

Total Pages: 289

ISBN-13: 1351741233

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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 I

Quantitative Data Analysis for Language Assessment Volume I

Author: Vahid Aryadoust

Publisher: Routledge

Published: 2019-03-27

Total Pages: 303

ISBN-13: 1351741225

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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

Quantitative Data Analysis for Language Assessment Volume II

Author: Vahid Aryadoust

Publisher: Routledge

Published: 2019-07-04

Total Pages: 310

ISBN-13: 1351741195

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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 in Education

Quantitative Data Analysis in Education

Author: Paul Connolly

Publisher: Routledge

Published: 2007-08-07

Total Pages: 283

ISBN-13: 1134191847

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An accessible and user-friendly guide to quantitative data analysis in educational research, aimed at those with little or no prior knowledge of statistical methods.


Quantitative Methods for Second Language Research

Quantitative Methods for Second Language Research

Author: Carsten Roever

Publisher: Routledge

Published: 2017

Total Pages: 240

ISBN-13: 9780415814010

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Quantitative Methods for Second Language Research introduces the approaches to and techniques for quantitative data analysis in second language research (SLR), with a primary focus on second language learning and assessment research. It takes a conceptual, problem-solving approach, emphasizing the understanding of statistical theory and its application to research problems and pays less attention to the mathematical side of statistical analysis. A range of common statistical analysis techniques that can be employed in SLR, presented and illustrated through applications of the IBM Statistical Package for Social Sciences (SPSS) program, are presented and discussed. These include tools for descriptive analysis (e.g. means and percentages) as well as inferential analysis (e.g. correlational analysis, t-tests, and analysis of variance (ANOVA)). It provides conceptual explanations of quantitative methods through the use of examples, cases and published studies in the field. Additionally, a companion website to the book hosts review exercises and answer keys for each chapter, SPSS files, and a manual. Practical and lucid, this book is the ideal resource for data analysis for graduate students and researchers in applied linguistics.


Measured Language

Measured Language

Author: Jeffrey Connor-Linton

Publisher: Georgetown University Press

Published: 2014-02-28

Total Pages: 257

ISBN-13: 1626160376

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Measured Language presents studies using forms of measurement and quantitative analysis current in diverse areas of linguistic research from language assessment to language change, from generative linguistics to experimental psycholinguistics, and from longitudinal studies to classroom research.


Handbook of International Large-Scale Assessment

Handbook of International Large-Scale Assessment

Author: Leslie Rutkowski

Publisher: CRC Press

Published: 2013-11-12

Total Pages: 623

ISBN-13: 1439895147

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Winner of the 2017 AERA Division D Significant Contribution to Educational Measurement and Research Methodology Award! Technological and statistical advances, along with a strong interest in gathering more information about the state of our educational systems, have made it possible to assess more students, in more countries, more often, and in more subject domains. The Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis brings together recognized scholars in the field of ILSA, behavioral statistics, and policy to develop a detailed guide that goes beyond database user manuals. After highlighting the importance of ILSA data to policy and research, the book reviews methodological aspects and features of the studies based on operational considerations, analytics, and reporting. The book then describes methods of interest to advanced graduate students, researchers, and policy analysts who have a good grounding in quantitative methods, but who are not necessarily quantitative methodologists. In addition, it provides a detailed exposition of the technical details behind these assessments, including the test design, the sampling framework, and estimation methods, with a focus on how these issues impact analysis choices.


Frontiers in Language Assessment and Testing

Frontiers in Language Assessment and Testing

Author: Vahid Aryadoust

Publisher: Frontiers Media SA

Published: 2020-12-30

Total Pages: 192

ISBN-13: 2889663019

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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.


Analyzing Quantitative Data

Analyzing Quantitative Data

Author: Norman Blaikie

Publisher: SAGE

Published: 2003-03-06

Total Pages: 380

ISBN-13: 9780761967590

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For social researchers who need to know what procedures to use under what circumstances in practical research projects, this book does not require an indepth understanding of statistical theory.