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| Author | : Lyle F. Bachman |
| Publisher | : Cambridge University Press |
| Total Pages | : 382 |
| Release | : 2004-11-18 |
| Genre | : Foreign Language Study |
| ISBN | : 0521802776 |
This book provides language teachers with guidelines to develop suitable listening tests.
| Author | : Lyle Bachman |
| Publisher | : Cambridge University Press |
| Total Pages | : 182 |
| Release | : 2005-04-07 |
| Genre | : Foreign Language Study |
| ISBN | : 9780521609067 |
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 | : Cambridge University Press |
| Total Pages | : 0 |
| Release | : 2004-11-18 |
| Genre | : Foreign Language Study |
| ISBN | : 9780521003285 |
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.
| Author | : Vahid Aryadoust |
| Publisher | : Routledge |
| Total Pages | : 303 |
| Release | : 2019-03-27 |
| Genre | : Education |
| ISBN | : 1351741225 |
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 | : R. Green |
| Publisher | : Springer |
| Total Pages | : 310 |
| Release | : 2013-04-08 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1137018291 |
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 | : R. H. Baayen |
| Publisher | : Cambridge University Press |
| Total Pages | : 40 |
| Release | : 2008-03-06 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1139470736 |
Statistical 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.
| Author | : Leslie Rutkowski |
| Publisher | : CRC Press |
| Total Pages | : 650 |
| Release | : 2013-11-12 |
| Genre | : Mathematics |
| ISBN | : 1439895120 |
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 | : Pierre Lafaye de Micheaux |
| Publisher | : Springer Science & Business |
| Total Pages | : 654 |
| Release | : 2014-05-13 |
| Genre | : Computers |
| ISBN | : 1461490200 |
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.
| Author | : David MacKinnon |
| Publisher | : Routledge |
| Total Pages | : 479 |
| Release | : 2012-10-02 |
| Genre | : Medical |
| ISBN | : 1136676139 |
This volume introduces the statistical, methodological, and conceptual aspects of mediation analysis. Applications from health, social, and developmental psychology, sociology, communication, exercise science, and epidemiology are emphasized throughout. Single-mediator, multilevel, and longitudinal models are reviewed. The author's goal is to help the reader apply mediation analysis to their own data and understand its limitations. Each chapter features an overview, numerous worked examples, a summary, and exercises (with answers to the odd numbered questions). The accompanying CD contains outputs described in the book from SAS, SPSS, LISREL, EQS, MPLUS, and CALIS, and a program to simulate the model. The notation used is consistent with existing literature on mediation in psychology. The book opens with a review of the types of research questions the mediation model addresses. Part II describes the estimation of mediation effects including assumptions, statistical tests, and the construction of confidence limits. Advanced models including mediation in path analysis, longitudinal models, multilevel data, categorical variables, and mediation in the context of moderation are then described. The book closes with a discussion of the limits of mediation analysis, additional approaches to identifying mediating variables, and future directions. Introduction to Statistical Mediation Analysis is intended for researchers and advanced students in health, social, clinical, and developmental psychology as well as communication, public health, nursing, epidemiology, and sociology. Some exposure to a graduate level research methods or statistics course is assumed. The overview of mediation analysis and the guidelines for conducting a mediation analysis will be appreciated by all readers.
| Author | : Antony John Kunnan |
| Publisher | : |
| Total Pages | : 472 |
| Release | : 2015 |
| Genre | : Educational tests and measurements |
| ISBN | : 9780415708456 |
