Statistical Analyses For Language Testers PDF Download
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Author | : Lyle F. Bachman |
Publisher | : Cambridge University Press |
Total Pages | : 382 |
Release | : 2004-11-18 |
Genre | : Foreign Language Study |
ISBN | : 0521802776 |
Download Statistical Analyses for Language Assessment Book Book in PDF, ePub and Kindle
This book provides language teachers with guidelines to develop suitable listening tests.
Author | : R. Green |
Publisher | : Springer |
Total Pages | : 310 |
Release | : 2013-04-08 |
Genre | : Language Arts & Disciplines |
ISBN | : 1137018291 |
Download Statistical Analyses for Language Testers Book in PDF, ePub and Kindle
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.
Author | : Lyle Bachman |
Publisher | : Cambridge University Press |
Total Pages | : 182 |
Release | : 2005-04-07 |
Genre | : Foreign Language Study |
ISBN | : 9780521609067 |
Download Statistical Analyses for Language Assessment Workbook and CD ROM Book in PDF, ePub and Kindle
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.
Author | : Lyle F. Bachman |
Publisher | : Ernst Klett Sprachen |
Total Pages | : 364 |
Release | : 2004 |
Genre | : Applied linguistics |
ISBN | : 9783125393967 |
Download Statistical Analyses for Language Assessment Book in PDF, ePub and Kindle
Author | : Vahid Aryadoust |
Publisher | : Routledge |
Total Pages | : 303 |
Release | : 2019-03-27 |
Genre | : Education |
ISBN | : 1351741225 |
Download Quantitative Data Analysis for Language Assessment Volume I Book in PDF, ePub and Kindle
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.
Author | : James Dean Brown |
Publisher | : |
Total Pages | : |
Release | : 2016-08-25 |
Genre | : |
ISBN | : 9781537312866 |
Download Statistics Corner Book in PDF, ePub and Kindle
James Dean Brown ("JD"), currently Professor of Second Language Studies at the University of Hawaii at Manoa, has lectured and taught around the world and has published numerous articles and books on language testing, curriculum design, research methods, and connected speech. For close to twenty years, Professor Brown has contributed a regular column called Statistics Corner to Shiken, the biannual publication of the Testing and Evaluation Special Interest Group (TEVAL) of the Japan Association for Language Teaching (JALT). In his column, JD answers questions submitted by readers about language testing and statistics in an informal and easy to understand format. This volume brings together in one convenient location, forty-one Statistics Corner columns-updated, arranged thematically, and fully indexed. Presented in a question and answer format, the clear and concise explanations are both accessible to novices and engaging to experts. Topics addressed include: Second language testing strategies Likert items and scales of measurement Validity and reliability of tests and questionnaires Item analysis techniques for norm-referenced and criterion-referenced tests Conducting and interpreting principle component and factor analyses Planning and interpreting qualitative, quantitative, and mixed-methods research Clear explanations of the meaning and interpretation of frequently reported statistics such as Cronbach's alpha, standard error, confidence intervals, eta squared, Cohen's Kappa, skewness and kurtosis, and more."
Author | : Rotem Dror |
Publisher | : Springer Nature |
Total Pages | : 98 |
Release | : 2022-06-01 |
Genre | : Computers |
ISBN | : 3031021746 |
Download Statistical Significance Testing for Natural Language Processing Book in PDF, ePub and Kindle
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.
Author | : Vahid Aryadoust |
Publisher | : Routledge |
Total Pages | : 272 |
Release | : 2019-03-27 |
Genre | : Education |
ISBN | : 1351741233 |
Download Quantitative Data Analysis for Language Assessment Volume I Book in PDF, ePub and Kindle
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.
Author | : Paula Winke |
Publisher | : Routledge |
Total Pages | : 484 |
Release | : 2020-12-28 |
Genre | : Language Arts & Disciplines |
ISBN | : 1351034766 |
Download The Routledge Handbook of Second Language Acquisition and Language Testing Book in PDF, ePub and Kindle
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.
Author | : Pascual Cantos Gómez |
Publisher | : Equinox Publishing (UK) |
Total Pages | : 260 |
Release | : 2013-01-01 |
Genre | : Language Arts & Disciplines |
ISBN | : 9781845534325 |
Download Statistical Methods in Language and Linguistic Research Book in PDF, ePub and Kindle
The linguistic community tend to regard statistical methods, or more generally quantitative techniques, with a certain amount of fear and suspicion. There is a feeling that statistics falls in the province of science and mathematics and such methods may destroy the magic of the literary text. This book seeks to make quantitative methods and statistical techniques less forbidding and show how they can contribute to linguistic analysis and research. It present some mathematical and statistical properties of natural languages and introduces some of the quantitative methods which are of the most value in working empirically with texts and corpora. The various issues are illustrated with helpful examples from the most basic descriptive techniques to decision-taking techniques and to more sophisticated multivariate statistical language models.