Statistical Analyses For Language Testers
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Statistical Analyses For Language Assessment Book
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Author : Lyle F. Bachman
language : en
Publisher: Cambridge University Press
Release Date : 2004-11-18
Statistical Analyses For Language Assessment Book written by Lyle F. Bachman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-18 with Foreign Language Study categories.
This book provides language teachers with guidelines to develop suitable listening tests.
Statistical Analyses For Language Testers
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Author : R. Green
language : en
Publisher: Springer
Release Date : 2013-04-08
Statistical Analyses For Language Testers written by R. Green and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-08 with Language Arts & Disciplines categories.
Provides a step-by-step approach to the most useful statistical analyses for language test developers and researchers using IBM SPSS, Winsteps and Facets. It contains clearly-worked out examples for each analysis with detailed explanations.
Statistical Analyses For Language Assessment Workbook And Cd Rom
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Author : Lyle Bachman
language : en
Publisher: Cambridge University Press
Release Date : 2005-04-07
Statistical Analyses For Language Assessment Workbook And Cd Rom written by Lyle Bachman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04-07 with Foreign Language Study categories.
This book enables practitioners to apply statistics effectively to the development and use of language assessments. This is a Workbook and CD ROM pack which will support the main text. Each chapter will offer activities to parallel the chapters in the book. The activities are intended to provide readers with opportunities to work with and apply the concepts and procedures presented, using datasets from language assessment research.
Statistical Analyses For Language Assessment
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Author : Lyle F. Bachman
language : en
Publisher: Ernst Klett Sprachen
Release Date : 2004
Statistical Analyses For Language Assessment written by Lyle F. Bachman and has been published by Ernst Klett Sprachen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Applied linguistics categories.
Designing Listening Tests
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Author : Rita Green
language : en
Publisher: Springer
Release Date : 2017-02-20
Designing Listening Tests written by Rita Green and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-20 with Language Arts & Disciplines categories.
This book examines the crucial role that sound file selection plays in assessing listening ability and introduces the reader to the procedure of textmapping, which explores how to exploit a sound file. The book discusses the role of the task identifier, the task instructions and the example, and analyses the strengths and weaknesses of different test methods. Guidelines for developing listening items, and procedures that can be used in peer review and task revision are also provided. A range of sample listening tasks illustrates the benefits of following the test development approach described in the book. Developing Listening Tests also provides insights into the advantages that field trials, statistical analyses and standard setting can offer the language test developer in determining how well their tasks work. This practical book will be of interest to researchers, language testers, testing commissions, and teachers engaged in assessing listening performance around the world.
Quantitative Data Analysis For Language Assessment Volume I
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Author : Vahid Aryadoust
language : en
Publisher: Routledge
Release Date : 2019-03-27
Quantitative Data Analysis For Language Assessment Volume I written by Vahid Aryadoust and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-27 with Education categories.
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.
Statistics In Language Research
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Author : Toni Rietveld
language : en
Publisher: Walter de Gruyter
Release Date : 2010-12-14
Statistics In Language Research written by Toni Rietveld and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-14 with Language Arts & Disciplines categories.
Statistics in Language Research gives a non-technical but more or less complete treatment of Analysis of Variance (ANOVA) for language researchers. ANOVA is the most frequently used technique when handling the outcomes of research designs with more than two treatments or groups. This technique is used in all parts of linguistics which deal with observations obtained in survey studies and in (quasi-)experimental research, like applied linguistics, psycholinguistics, sociolinguistics, language and speech pathology and phonetics. Most statistical textbooks in the social sciences take examples typical of their own field and, in addition, omit subjects which are particularly relevant for language researchers, like power analysis, quasi F, F1, F2 and minF'. This book offers a thorough introduction to the basic principles of analysis of variance, based on examples taken from language research, and goes beyond the conventional topics treated in introductory textbooks, as it covers topics like 'violations of assumptions', 'missing data', 'problems in repeated measures designs', 'alternatives to analysis of variance' (such as randomization tests and multilevel analysis). Each chapter consists of four sections: treatment of the subject under discussion, a summary of relevant terms and concepts, a section devoted to reporting statistics, and finally an exercise section. After the first introductory chapter, in which fundamental concepts like 'variables', 'cases' and SPSS data formats are presented, the book continues with two 'refreshment' chapters, in which the principles of statistical testing are revised, focusing on the well-known t test. These chapters also deal with the essential, but often neglected concepts of 'statistical power' and 'sample size'. In every chapter examples of SPSS input and output are given.
Quantitative Data Analysis For Language Assessment Volume I
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Author : Vahid Aryadoust
language : en
Publisher: Routledge
Release Date : 2019-03-27
Quantitative Data Analysis For Language Assessment Volume I written by Vahid Aryadoust and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-27 with Education categories.
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.
Statistical Significance Testing For Natural Language Processing
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Author : Rotem Dror
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2020-04-03
Statistical Significance Testing For Natural Language Processing written by Rotem Dror and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-03 with Computers categories.
Data-driven experimental analysis has become the main evaluation tool of Natural Language Processing (NLP) algorithms. In fact, in the last decade, it has become rare to see an NLP paper, particularly one that proposes a new algorithm, that does not include extensive experimental analysis, and the number of involved tasks, datasets, domains, and languages is constantly growing. This emphasis on empirical results highlights the role of statistical significance testing in NLP research: If we, as a community, rely on empirical evaluation to validate our hypotheses and reveal the correct language processing mechanisms, we better be sure that our results are not coincidental. The goal of this book is to discuss the main aspects of statistical significance testing in NLP. Our guiding assumption throughout the book is that the basic question NLP researchers and engineers deal with is whether or not one algorithm can be considered better than another one. This question drives the field forward as it allows the constant progress of developing better technology for language processing challenges. In practice, researchers and engineers would like to draw the right conclusion from a limited set of experiments, and this conclusion should hold for other experiments with datasets they do not have at their disposal or that they cannot perform due to limited time and resources. The book hence discusses the opportunities and challenges in using statistical significance testing in NLP, from the point of view of experimental comparison between two algorithms. We cover topics such as choosing an appropriate significance test for the major NLP tasks, dealing with the unique aspects of significance testing for non-convex deep neural networks, accounting for a large number of comparisons between two NLP algorithms in a statistically valid manner (multiple hypothesis testing), and, finally, the unique challenges yielded by the nature of the data and practices of the field.
The Routledge Handbook Of Second Language Acquisition And Language Testing
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Author : Paula Winke
language : en
Publisher: Routledge
Release Date : 2020-12-28
The Routledge Handbook Of Second Language Acquisition And Language Testing written by Paula Winke and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-28 with Language Arts & Disciplines categories.
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.