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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: 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. 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: Lyle F. Bachman
Publisher: Cambridge University Press
Published: 2004-11-18
Total Pages: 0
ISBN-13: 9780521003285
DOWNLOAD EBOOKStatistical 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.
Author: Pierre Lafaye de Micheaux
Publisher: Springer Science & Business
Published: 2014-05-13
Total Pages: 654
ISBN-13: 1461490200
DOWNLOAD EBOOKThe 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.
Author: Edwin P. Christmann
Publisher: NSTA Press
Published: 2009
Total Pages: 209
ISBN-13: 1933531363
DOWNLOAD EBOOKProvides a practical approach which helps teachers understand how to interpret student assessments statistically and how to measure and explain the validity and reliability of those assessments. This framework for measuring and interpreting assessment results is a must-have for your professional development library.
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: Leslie Rutkowski
Publisher: CRC Press
Published: 2013-11-12
Total Pages: 623
ISBN-13: 1439895147
DOWNLOAD EBOOKWinner of the 2017 AERA Division D Significant Contribution to Educational Measurement and Research Methodology Award! Technological and statistical advances, along with a strong interest in gathering more information about the state of our educational systems, have made it possible to assess more students, in more countries, more often, and in more subject domains. The Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis brings together recognized scholars in the field of ILSA, behavioral statistics, and policy to develop a detailed guide that goes beyond database user manuals. After highlighting the importance of ILSA data to policy and research, the book reviews methodological aspects and features of the studies based on operational considerations, analytics, and reporting. The book then describes methods of interest to advanced graduate students, researchers, and policy analysts who have a good grounding in quantitative methods, but who are not necessarily quantitative methodologists. In addition, it provides a detailed exposition of the technical details behind these assessments, including the test design, the sampling framework, and estimation methods, with a focus on how these issues impact analysis choices.
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: Andrew Gelman
Publisher: CRC Press
Published: 2013-11-01
Total Pages: 677
ISBN-13: 1439840954
DOWNLOAD EBOOKNow in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
