Statistical Analyses For Language Assessment Book

DOWNLOAD
Download Statistical Analyses For Language Assessment Book PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Statistical Analyses For Language Assessment Book book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Statistical Analyses For Language Assessment Book
DOWNLOAD
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 Assessment Book
DOWNLOAD
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.
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.
Statistical Analyses For Language Assessment Workbook And Cd Rom
DOWNLOAD
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 Testers
DOWNLOAD
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.
The R Software
DOWNLOAD
Author : Pierre Lafaye de Micheaux
language : en
Publisher: Springer Science & Business
Release Date : 2014-05-13
The R Software written by Pierre Lafaye de Micheaux and has been published by Springer Science & Business this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-13 with Computers categories.
The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language and its fundamental concepts, including data organization, import and export, various manipulations, documentation, plots, programming and maintenance. The last chapter in this part deals with oriented object programming as well as interfacing R with C/C++ or Fortran, and contains a section on debugging techniques. This is followed by the second part of the book, which provides detailed explanations on how to perform many standard statistical analyses, mainly in the Biostatistics field. Topics from mathematical and statistical settings that are included are matrix operations, integration, optimization, descriptive statistics, simulations, confidence intervals and hypothesis testing, simple and multiple linear regression, and analysis of variance. Each statistical chapter in the second part relies on one or more real biomedical data sets, kindly made available by the Bordeaux School of Public Health (Institut de Santé Publique, d'Épidémiologie et de Développement - ISPED) and described at the beginning of the book. Each chapter ends with an assessment section: memorandum of most important terms, followed by a section of theoretical exercises (to be done on paper), which can be used as questions for a test. Moreover, worksheets enable the reader to check his new abilities in R. Solutions to all exercises and worksheets are included in this book.
Probability Random Processes And Statistical Analysis
DOWNLOAD
Author : Hisashi Kobayashi
language : en
Publisher: Cambridge University Press
Release Date : 2011-12-15
Probability Random Processes And Statistical Analysis written by Hisashi Kobayashi 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 2011-12-15 with Technology & Engineering categories.
Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Itô process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum–Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals.
The Statistical Evaluation Of Medical Tests For Classification And Prediction
DOWNLOAD
Author : Margaret Sullivan Pepe
language : en
Publisher: OUP Oxford
Release Date : 2003-03-13
The Statistical Evaluation Of Medical Tests For Classification And Prediction written by Margaret Sullivan Pepe and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-13 with Medical categories.
The use of clinical and laboratory information to detect conditions and predict patient outcomes is a mainstay of medical practice. Modern biotechnology offers increasing potential to develop sophisticated tests for these purposes. This book describes the statistical concepts and techniques for evaluating the accuracy of medical tests. Worked examples include applications to cancer biomarker studies, prospective disease screening studies, diagnostic radiology studies and audiology testing studies. The statistical methodology can be broadly applied for evaluating classifiers and to problems beyond medical settings. Several measures for quantifying test accuracy are described including the Receiver Operating Characteristic Curve. Pepe presents statistical procedures for the estimation and comparison of those measures among tests. Regression frameworks for assessing factors that influence test accuracy and for comparing tests while adjusting for such factors are presented. The sequence of research steps involved in the development of a test is considered in some detail. Sample size calculations and other issues pertinent to study design are described for tests at various phases of development. In addition, the impacts of missing data and imperfect reference data are addressed. These problems often occur in practice, and modern statistical procedures for dealing with them are discussed. Additional topics that are covered include: meta-analysis for summarizing the results of multiple studies of a test; the evaluation of markers for predicting event time data; and procedures for combining the results of multiple tests to improve classification. This book should be of interest to quantitative researchers and practicing statisticians. The book also covers the theoretical foundations for statistical inference and should therefore be of interest to academic statisticians including those involved in statistical methodological research in this field.
Statistical Analyses For Language Assessment Workbook
DOWNLOAD
Author : Lyle F. Bachman
language : nl
Publisher:
Release Date : 2005
Statistical Analyses For Language Assessment Workbook written by Lyle F. Bachman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Statistics For Linguists An Introduction Using R
DOWNLOAD
Author : Bodo Winter
language : en
Publisher: Routledge
Release Date : 2019-10-30
Statistics For Linguists An Introduction Using R written by Bodo Winter and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-30 with Education categories.
Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this text is the ideal main resource for graduate and advanced undergraduate students of Linguistics statistics courses as well as those in other fields, including Psychology, Cognitive Science, and Data Science.