Statistical Analyses For Language Testers

Author : Lyle F. Bachman
Publisher : Cambridge University Press
ISBN 13 : 0521802776
Total Pages : 382 pages
Book Rating : 4.72/5 ( download)

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Download or read book Statistical Analyses for Language Assessment Book written by Lyle F. Bachman and published by Cambridge University Press. This book was released on 2004-11-18 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides language teachers with guidelines to develop suitable listening tests.

Author : R. Green
Publisher : Springer
ISBN 13 : 1137018291
Total Pages : 310 pages
Book Rating : 4.98/5 ( download)

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Download or read book Statistical Analyses for Language Testers written by R. Green and published by Springer. This book was released on 2013-04-08 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
ISBN 13 : 9780521609067
Total Pages : 182 pages
Book Rating : 4.62/5 ( download)

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Download or read book Statistical Analyses for Language Assessment Workbook and CD ROM written by Lyle Bachman and published by Cambridge University Press. This book was released on 2005-04-07 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
ISBN 13 : 9783125393967
Total Pages : 364 pages
Book Rating : 4.65/5 ( download)

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Download or read book Statistical Analyses for Language Assessment written by Lyle F. Bachman and published by Ernst Klett Sprachen. This book was released on 2004 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Vahid Aryadoust
Publisher : Routledge
ISBN 13 : 1351741225
Total Pages : 303 pages
Book Rating : 4.24/5 ( download)

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Download or read book Quantitative Data Analysis for Language Assessment Volume I written by Vahid Aryadoust and published by Routledge. This book was released on 2019-03-27 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Rotem Dror
Publisher : Springer Nature
ISBN 13 : 3031021746
Total Pages : 98 pages
Book Rating : 4.49/5 ( download)

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Download or read book Statistical Significance Testing for Natural Language Processing written by Rotem Dror and published by Springer Nature. This book was released on 2022-06-01 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
ISBN 13 : 1351741233
Total Pages : 272 pages
Book Rating : 4.31/5 ( download)

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Download or read book Quantitative Data Analysis for Language Assessment Volume I written by Vahid Aryadoust and published by Routledge. This book was released on 2019-03-27 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 :
ISBN 13 : 9781537312866
Total Pages : pages
Book Rating : 4.63/5 ( download)

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Download or read book Statistics Corner written by James Dean Brown and published by . This book was released on 2016-08-25 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Paula Winke
Publisher : Routledge
ISBN 13 : 1351034766
Total Pages : 484 pages
Book Rating : 4.60/5 ( download)

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Download or read book The Routledge Handbook of Second Language Acquisition and Language Testing written by Paula Winke and published by Routledge. This book was released on 2020-12-28 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Måns Thulin
Publisher : BoD - Books on Demand
ISBN 13 : 9152701514
Total Pages : 598 pages
Book Rating : 4.15/5 ( download)

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Download or read book Modern Statistics with R written by Måns Thulin and published by BoD - Books on Demand. This book was released on 2021-07-28 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of Modern Statistics with R is to introduce you to key parts of the modern statistical toolkit. It teaches you: - Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. - Exploratory data analysis - using visualisation and multivariate techniques to explore datasets. - Statistical inference - modern methods for testing hypotheses and computing confidence intervals. - Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting. - Simulation - using simulation techniques for sample size computations and evaluations of statistical methods. - Ethics in statistics - ethical issues and good statistical practice. - R programming - writing code that is fast, readable, and free from bugs. Starting from the very basics, Modern Statistics with R helps you learn R by working with R. Topics covered range from plotting data and writing simple R code to using cross-validation for evaluating complex predictive models and using simulation for sample size determination. The book includes more than 200 exercises with fully worked solutions. Some familiarity with basic statistical concepts, such as linear regression, is assumed. No previous programming experience is needed.