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.
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.
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.
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 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Analyses for Language Assessment enables practitioners to apply statistics effectively to the development and use of language assessments. The Workbook and CD contain datasets from actual language assessments and data analysis exercises.
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.
Download or read book Statistical Significance Testing for Natural Language Processing written by Rotem Dror and published by Morgan & Claypool Publishers. This book was released on 2020-04-03 with total page 118 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.
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."
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.
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.
Download or read book Statistical Methods in Language and Linguistic Research written by Pascual Cantos Gómez and published by Equinox Publishing (UK). This book was released on 2013-01-01 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Criterion Referenced Language Testing written by James Dean Brown and published by Cambridge University Press. This book was released on 2002-05-20 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Criterion-referenced Language Testing looks at the practical applications of this new area of language testing.
Download or read book The Routledge Handbook of Language Testing written by Glenn Fulcher and published by Taylor & Francis. This book was released on 2021-12-15 with total page 675 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition of The Routledge Handbook of Language Testing provides an updated and comprehensive account of the area of language testing and assessment. The volume brings together 35 authoritative articles, divided into ten sections, written by 51 leading specialists from around the world. There are five entirely new chapters covering the four skills: reading, writing, listening, and speaking, as well as a new entry on corpus linguistics and language testing. The remaining 30 chapters have been revised, often extensively, or entirely rewritten with new authorship teams at the helm, reflecting new generations of expertise in the field. With a dedicated section on technology in language testing, reflecting current trends in the field, the Handbook also includes an extended epilogue written by Harding and Fulcher, contemplating what has changed between the first and second editions and charting a trajectory for the field of language testing and assessment. Providing a basis for discussion, project work, and the design of both language tests themselves and related validation research, this Handbook represents an invaluable resource for students, researchers, and practitioners working in language testing and assessment and the wider field of language education.
Download or read book SPSS for Applied Sciences written by Cole Davis and published by CSIRO PUBLISHING. This book was released on 2013-08-15 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a quick and basic guide to using SPSS and provides a general approach to solving problems using statistical tests. It is both comprehensive in terms of the tests covered and the applied settings it refers to, and yet is short and easy to understand. Whether you are a beginner or an intermediate level test user, this book will help you to analyse different types of data in applied settings. It will also give you the confidence to use other statistical software and to extend your expertise to more specific scientific settings as required. The author does not use mathematical formulae and leaves out arcane statistical concepts. Instead, he provides a very practical, easy and speedy introduction to data analysis, offering examples from a range of scenarios from applied science, handling both continuous and rough-hewn data sets. Examples are given from agriculture, arboriculture, biology, computer science, ecology, engineering, farming and farm management, hydrology, medicine, ophthalmology, pharmacology, physiotherapy, spectroscopy, sports science, audiology and epidemiology.
Download or read book Testing Statistical Assumptions in Research written by J. P. Verma and published by John Wiley & Sons. This book was released on 2019-04-02 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient. An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations Describes different assumptions associated with different statistical tests commonly used by research scholars Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions Looks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.
Download or read book Assessing Languages for Specific Purposes written by Dan Douglas and published by Cambridge University Press. This book was released on 2000 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first to examine implementation of tests for specific purposes.
Download or read book Statistics in Corpus Linguistics written by Vaclav Brezina and published by Cambridge University Press. This book was released on 2018-09-20 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and accessible introduction to statistics in corpus linguistics, covering multiple techniques of quantitative language analysis and data visualisation.
Download or read book Modern Statistics with R written by MANS. THULIN and published by . This book was released on 2024-08-13 with total page 0 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. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. It teaches you: Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. Exploratory data analysis - using visualisations 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 (hopefully!) free from bugs. No prior programming experience is necessary. Clear explanations and examples are provided to accommodate readers at all levels of familiarity with statistical principles and coding practices. A basic understanding of probability theory can enhance comprehension of certain concepts discussed within this book. In addition to plenty of examples, the book includes more than 200 exercises, with fully worked solutions available at www.modernstatisticswithr.com.
