Statistical Analyses for Language Assessment Book PDF Download
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Author: Lyle F. Bachman
Publisher: Cambridge University Press
ISBN: 0521802776
Category : Foreign Language Study
Languages : en
Pages : 382
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Book Description
This book provides language teachers with guidelines to develop suitable listening tests.
Author: Lyle F. Bachman
Publisher: Cambridge University Press
ISBN: 0521802776
Category : Foreign Language Study
Languages : en
Pages : 382
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Book Description
This book provides language teachers with guidelines to develop suitable listening tests.
Author: R. Green
Publisher: Springer
ISBN: 1137018291
Category : Language Arts & Disciplines
Languages : en
Pages : 369
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Book Description
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: Margaret Sullivan Pepe
Publisher: OUP Oxford
ISBN: 019158861X
Category : Medical
Languages : en
Pages : 319
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Book Description
This 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: Edwin P. Christmann
Publisher: NSTA Press
ISBN: 1933531363
Category : Education
Languages : en
Pages : 209
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Book Description
Provides 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: Fred Davidson
Publisher: Yale University Press
ISBN: 0300133812
Category : Language Arts & Disciplines
Languages : en
Pages : 159
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Book Description
DIVThe creation of language tests is—and should be—a craft that is accessible and doable not only by a few language test experts, but also by many others who are involved in second/foreign language education, say the authors of this clear and timely book. Fred Davidson and Brian Lynch offer language educators a how-to guide for creating tests that reliably measure exactly what they are intended to measure. Classroom teachers, language administrators, and professors of language testing courses will find in this book an easy and flexible approach to language testing as well as the tools they need to develop tests appropriate to their individual needs. Davidson and Lynch explain criterion-related language test development, a process that focuses on the early stages of test development when the criterion to be tested is defined, specifications are established, and items and tasks are written. This process helps clarify the description of what is being measured by a test and enables teachers to give input on test design in any instructional setting. Informed by extensive research in criterion-referenced measurement, this book invites all language educators to participate in the craft of test development and shows them how to go about it./div
Author: Deborah G. Mayo
Publisher: Cambridge University Press
ISBN: 1108563309
Category : Mathematics
Languages : en
Pages : 503
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Book Description
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
Author: Lyle Bachman
Publisher: Oxford University Press
ISBN: 0194218368
Category : Study Aids
Languages : en
Pages : 304
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Book Description
This book provides teachers with an entirely new approach to developing and using classroom-based language assessments. This approach is based on current theory and practice in the field of language assessment and on an understanding of the assessment needs of classroom teachers. The following key questions are addressed: • Why do I need to assess? What beneficial consequences do I want to help bring about? How can my assessments help my students learn better and help me improve my teaching? • When and how often do I need to assess? What decisions do I need to make to help bring about these beneficial consequences? • What do I need to assess? How can I define the abilities that I want to assess? • How can I assess my students? What kinds of assessment tasks should I create? How can I score my students’ responses to these tasks? The authors guide the reader step-by-step through the process of developing and using classroom-based assessments with clear explanations and definitions of key terms, illustrative examples, and activities for applying the approach in practice. Extra resources are available on the website: www.oup.com/elt/teacher/lact Lyle Bachman is Professor Emeritus of Applied Linguistics at the University of California, Los Angeles. He serves as a consultant in language testing research projects and in developing language assessments for universities and government agencies around the world, and he conducts courses and training workshops in language assessment. Barbara Damböck was Director of Studies of the English Department at the Teacher Training Academy in Dillingen, Germany, from 2003 to 2011. From 2003 to 2017 she supervised the training of oral examiners for the certification examination for elementary school English teachers in Bavaria. She has extensive experience as a classroom teacher, teacher trainer, and teacher of teacher trainers. She conducts courses and workshops for teachers and teacher trainers around the world.
Author: Xiao-Hua Zhou
Publisher: John Wiley & Sons
ISBN: 1118626044
Category : Medical
Languages : en
Pages : 597
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Book Description
Praise for the First Edition " . . . the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."—Zentralblatt MATH A new edition of the cutting-edge guide to diagnostic tests in medical research In recent years, a considerable amount of research has focused on evolving methods for designing and analyzing diagnostic accuracy studies. Statistical Methods in Diagnostic Medicine, Second Edition continues to provide a comprehensive approach to the topic, guiding readers through the necessary practices for understanding these studies and generalizing the results to patient populations. Following a basic introduction to measuring test accuracy and study design, the authors successfully define various measures of diagnostic accuracy, describe strategies for designing diagnostic accuracy studies, and present key statistical methods for estimating and comparing test accuracy. Topics new to the Second Edition include: Methods for tests designed to detect and locate lesions Recommendations for covariate-adjustment Methods for estimating and comparing predictive values and sample size calculations Correcting techniques for verification and imperfect standard biases Sample size calculation for multiple reader studies when pilot data are available Updated meta-analysis methods, now incorporating random effects Three case studies thoroughly showcase some of the questions and statistical issues that arise in diagnostic medicine, with all associated data provided in detailed appendices. A related web site features Fortran, SAS®, and R software packages so that readers can conduct their own analyses. Statistical Methods in Diagnostic Medicine, Second Edition is an excellent supplement for biostatistics courses at the graduate level. It also serves as a valuable reference for clinicians and researchers working in the fields of medicine, epidemiology, and biostatistics.
Author: Sari Luoma
Publisher: Cambridge University Press
ISBN: 0521800528
Category : Foreign Language Study
Languages : en
Pages : 14
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Book Description
This book takes teachers and language testers through the research on the assessment of speaking.
Author: J. P. Verma
Publisher: John Wiley & Sons
ISBN: 1119528410
Category : Mathematics
Languages : en
Pages : 224
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Book Description
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.
