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Author: Lyle F. Bachman
Publisher: Cambridge University Press
Published: 2004-11-18
Total Pages: 382
ISBN-13: 0521802776
DOWNLOAD EBOOKThis book provides language teachers with guidelines to develop suitable listening tests.
Author: R. Green
Publisher: Springer
Published: 2013-04-08
Total Pages: 369
ISBN-13: 1137018291
DOWNLOAD EBOOKProvides 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: Antony John Kunnan
Publisher: Taylor & Francis
Published: 2017-07-06
Total Pages: 294
ISBN-13: 113663438X
DOWNLOAD EBOOKCover -- Title -- Copyright -- Dedication -- Contents -- Illustrations -- Series Editor Preface -- Preface -- Acknowledgments -- 1 The Need for Evaluation -- 2 Past Frameworks and Evaluations -- 3 Ethics-Based Approach to Assessment Evaluation -- 4 Building the Fairness and Justice Argument -- 5 Opportunity-to-Learn -- 6 Meaningfulness -- 7 Absence of Bias -- 8 Washback and Consequences -- 9 Advancing Fairness and Justice -- 10 Applications and Implications -- Index
Author: Dan Douglas
Publisher: Cambridge University Press
Published: 2000
Total Pages: 329
ISBN-13: 0521584957
DOWNLOAD EBOOKThis book is the first to examine implementation of tests for specific purposes.
Author: Margaret Sullivan Pepe
Publisher: OUP Oxford
Published: 2003-03-13
Total Pages: 319
ISBN-13: 019158861X
DOWNLOAD EBOOKThis book describes statistical techniques for the design and evaluation of research studies on medical diagnostic tests, screening tests, biomarkers and new technologies for classification and prediction in medicine.
Author: Antony John Kunnan
Publisher:
Published: 2015
Total Pages: 472
ISBN-13: 9780415708456
DOWNLOAD EBOOKAuthor: Keith McCormick
Publisher: John Wiley & Sons
Published: 2017-05-01
Total Pages: 528
ISBN-13: 1119003555
DOWNLOAD EBOOKDive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. Conduct a more efficient and accurate analysis Display complex relationships and create better visualizations Model complex interactions and master predictive analytics Integrate R and Python with SPSS Statistics for more efficient, more powerful code These "hidden tools" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.
Author: Gary Miner
Publisher: Academic Press
Published: 2012-01-11
Total Pages: 1096
ISBN-13: 012386979X
DOWNLOAD EBOOK"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--
Author: Lyle Bachman
Publisher: Cambridge University Press
Published: 2005-04-07
Total Pages: 182
ISBN-13: 9780521609067
DOWNLOAD EBOOKThis 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: R. H. Baayen
Publisher: Cambridge University Press
Published: 2008-03-06
Total Pages: 40
ISBN-13: 1139470736
DOWNLOAD EBOOKStatistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme. The reader is guided step-by-step through a range of real data sets, allowing them to analyse acoustic data, construct grammatical trees for a variety of languages, quantify register variation in corpus linguistics, and measure experimental data using state-of-the-art models. The visualization of data plays a key role, both in the initial stages of data exploration and later on when the reader is encouraged to criticize various models. Containing over 40 exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data.
