Quantitative Data Analysis For Language Assessment Volume I

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Quantitative Data Analysis for Language Assessment Volume I

Quantitative Data Analysis For Language Assessment Volume I [Pdf/ePub] eBook

Quantitative Data Analysis for Language Assessment Volume I by Vahid Aryadoust,Michelle Raquel Book Resume:

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.

Quantitative Data Analysis for Language Assessment Volume II

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Quantitative Data Analysis for Language Assessment Volume II by Vahid Aryadoust,Michelle Raquel Book Resume:

Quantitative Data Analysis for Language Assessment Volume II: Advanced Methods emonstrates advanced quantitative techniques for language assessment. The volume takes an interdisciplinary approach and taps into expertise from language assessment, data mining, and psychometrics. The techniques covered include Structural Equation Modeling, Data Mining, Multidimensional Psychometrics and Multilevel Data Analysis.Volume II is distinct among available books in language assessment, as it engages the readers in both theory and application of the methods and introduces relevant techniques for theory construction and validation. This book is highly recommended to graduate students and researchers who are searching for innovative and rigorous approaches and methods to achieve excellence in their dissertations and research. It is also a valuable source for academics who teach quantitative approaches in language assessment and data analysis courses.

Statistical Analyses for Language Assessment Book

Quantitative Data Analysis For Language Assessment Volume I [Pdf/ePub] eBook

Statistical Analyses for Language Assessment Book by Lyle F. Bachman,Bachman Lyle F Book Resume:

The assessment of language learners is having a growing impact in English language teaching and applied linguistics. A formal evaluation of students writing abilities is important for language teachers in order to assess the pedagogical needs of their students. While there has been a considerable body of work undertaken on assessing the writing abilities of native speakers, the issues surrounding the assessment of second language learners writing abilities are still emerging. At present, no one volume has explored these issues and their implications for language teaching practitioners wishing to evaluate their students writing. This book outlines in an accessible manner the major tenets of research in the field and provide language teachers with guidelines to design and develop suitable listening assessment tasks for their students.

Advancing Human Assessment

Quantitative Data Analysis For Language Assessment Volume I [Pdf/ePub] eBook

Advancing Human Assessment by Randy E. Bennett,Matthias von Davier Book Resume:

This book is open access under a CC BY-NC 2.5 license.​​ This book describes the extensive contributions made toward the advancement of human assessment by scientists from one of the world’s leading research institutions, Educational Testing Service. The book’s four major sections detail research and development in measurement and statistics, education policy analysis and evaluation, scientific psychology, and validity. Many of the developments presented have become de-facto standards in educational and psychological measurement, including in item response theory (IRT), linking and equating, differential item functioning (DIF), and educational surveys like the National Assessment of Educational Progress (NAEP), the Programme of international Student Assessment (PISA), the Progress of International Reading Literacy Study (PIRLS) and the Trends in Mathematics and Science Study (TIMSS). In addition to its comprehensive coverage of contributions to the theory and methodology of educational and psychological measurement and statistics, the book gives significant attention to ETS work in cognitive, personality, developmental, and social psychology, and to education policy analysis and program evaluation. The chapter authors are long-standing experts who provide broad coverage and thoughtful insights that build upon decades of experience in research and best practices for measurement, evaluation, scientific psychology, and education policy analysis. Opening with a chapter on the genesis of ETS and closing with a synthesis of the enormously diverse set of contributions made over its 70-year history, the book is a useful resource for all interested in the improvement of human assessment.

Handbook of Quantitative Methods for Detecting Cheating on Tests

Quantitative Data Analysis For Language Assessment Volume I [Pdf/ePub] eBook

Handbook of Quantitative Methods for Detecting Cheating on Tests by Gregory J. Cizek,James A. Wollack Book Resume:

The rising reliance on testing in American education and for licensure and certification has been accompanied by an escalation in cheating on tests at all levels. Edited by two of the foremost experts on the subject, the Handbook of Quantitative Methods for Detecting Cheating on Tests offers a comprehensive compendium of increasingly sophisticated data forensics used to investigate whether or not cheating has occurred. Written for practitioners, testing professionals, and scholars in testing, measurement, and assessment, this volume builds on the claim that statistical evidence often requires less of an inferential leap to conclude that cheating has taken place than do other, more common sources of evidence. This handbook is organized into sections that roughly correspond to the kinds of threats to fair testing represented by different forms of cheating. In Section I, the editors outline the fundamentals and significance of cheating, and they introduce the common datasets to which chapter authors' cheating detection methods were applied. Contributors describe, in Section II, methods for identifying cheating in terms of improbable similarity in test responses, preknowledge and compromised test content, and test tampering. Chapters in Section III concentrate on policy and practical implications of using quantitative detection methods. Synthesis across methodological chapters as well as an overall summary, conclusions, and next steps for the field are the key aspects of the final section.

Quantitative Techniques

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Quantitative Techniques by Terence Lucey,Terry Lucey Book Resume:

This text is especially relevant to students studying quantitative techniques as part of business, management and/or finance on undergraduate and professional courses, especially: ACCA; CIMA; CIPFA; ICA, IOB, ICAEW. This introductory interdisciplinary textbook covers all the major topics involved at the interface between business and management on the one hand and mathematics and statistics on the other. Topics dealt with include logistics, finance, production and operations management, and economics. This text is especially relevant to students studying quantitative techniques as part of business, management and/or finance on undergraduate and professional courses, especially: ACCA; CIMA; CIPFA; ICA, IOB, ICAEW. This introductory interdisciplinary textbook covers all the major topics involved at the interface between business and management on the one hand and mathematics and statistics on the other. Topics dealt with include logistics, finance, production and operations management, and economics.

Metacognitive and Cognitive Strategy Use in Reading Comprehension

Quantitative Data Analysis For Language Assessment Volume I [Pdf/ePub] eBook

Metacognitive and Cognitive Strategy Use in Reading Comprehension by Limei Zhang Book Resume:

This book examines the relationship between Chinese college-level test takers' strategy use and reading test performance using a Structural Equation Modelling Approach. With a large sample of Chinese college-level test takers, the book investigates the underlying structure of the EFL reading test. It suggests implications for classroom teachers and testing researchers about the relationship between metacognitive and cognitive strategy use in testing contexts.

Best Practices in Quantitative Methods

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Best Practices in Quantitative Methods by Jason W. Osborne Book Resume:

The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.

Evaluating Language Assessments

Quantitative Data Analysis For Language Assessment Volume I [Pdf/ePub] eBook

Evaluating Language Assessments by Antony John Kunnan Book Resume:

Evaluating Language Assessments offers a comprehensive overview of the theoretical bases and research methodologies for the evaluation of language assessments and demonstrates the importance of a fuller understanding of this widely used evaluative tool. The volume explores language assessment evaluation in its wider political, economic, social, legal, and ethical contexts while also illustrating quantitative and qualitative methods through discussions of key research studies. Suitable for students in applied linguistics, second language acquisition and language assessment and education, this book makes the case for a clear and rigorous understanding of the theoretical and methodological underpinnings of language assessment evaluation in order to achieve fair assessments and just institutions.

Quantitative and Statistical Research Methods

Quantitative Data Analysis For Language Assessment Volume I [Pdf/ePub] eBook

Quantitative and Statistical Research Methods by William E. Martin,Krista D. Bridgmon Book Resume:

Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand andapply procedural steps in completing quantitative studies. Itexplains statistics while progressing through the steps of thehypothesis-testing process from hypothesis to results. The researchproblems used in the book reflect statistical applications relatedto interesting and important topics. In addition, the book providesa Research Analysis and Interpretation Guide to help studentsanalyze research articles. Designed as a hands-on resource, each chapter covers a singleresearch problem and offers directions for implementing theresearch method from start to finish. Readers will learn howto: Pinpoint research questions and hypotheses Identify, classify, and operationally define the studyvariables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem Quantitative and Statistical Research Methods allows students toimmediately, independently, and successfully apply quantitativemethods to their own research projects.

Measured Language

Quantitative Data Analysis For Language Assessment Volume I [Pdf/ePub] eBook

Measured Language by Jeffrey Connor-Linton,Luke Wander Amoroso Book Resume:

Measured Language presents studies using forms of measurement and quantitative analysis current in diverse areas of linguistic research from language assessment to language change, from generative linguistics to experimental psycholinguistics, and from longitudinal studies to classroom research. Contributors share the relevance of their perspectives and findings from seemingly disparate theoretical and methodological perspectives to other areas of linguistic inquiry. The range and clarity of the research collected here ensures that even linguists who would not traditionally use quantitative methods will find this volume useful.

Handbook on Impact Evaluation

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Handbook on Impact Evaluation by Shahidur R. Khandker,Gayatri B. Koolwal,Hussain A. Samad Book Resume:

Public programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this book.

Experimental Design and Data Analysis for Biologists

Quantitative Data Analysis For Language Assessment Volume I [Pdf/ePub] eBook

Experimental Design and Data Analysis for Biologists by Jerry P. Queen,Gerry P. Quinn,Michael J. Keough Book Resume:

An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software.

Qualitative Research Methods for Second Language Education

Quantitative Data Analysis For Language Assessment Volume I [Pdf/ePub] eBook

Qualitative Research Methods for Second Language Education by Nugrahenny T. Zacharias Book Resume:

What sets Qualitative Research Methods for Second Language Education apart from existing books is its balance between theories and learning activities. The activities are designed to be interactive so that they provide a chance for both students and teachers to reinforce their understanding of the research topic. It is the author’s belief that one learns research by conducting research rather than by talking about it. Thus, the activities created in the book provide opportunities for students to develop and sharpen their research skills. Developing these skills will be very useful when students later conduct their own research.

Mixed Methods Research for Improved Scientific Study

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Mixed Methods Research for Improved Scientific Study by Baran, Mette L. Book Resume:

The clear division between quantitative and qualitative research methods becomes problematic when students begin conducting extensive research for the first time, often as part of a master’s thesis or dissertation. In order to handle such complexities in the selection of research methods, a Mixed Methods Research (MMR) approach is one proposed solution. Mixed Methods Research for Improved Scientific Study seeks to demonstrate how mixed methods research designs can address a wide array of scientific questions across disciplines. Focusing on essential concepts and methods for a hybrid approach to quantitative and qualitative research methods for real-world implementation, this publication is ideally designed for students and researchers interested in refining their research skills as well as educators seeking to integrate research methods coursework into the graduate curriculum.

The Reviewer’s Guide to Quantitative Methods in the Social Sciences

Quantitative Data Analysis For Language Assessment Volume I [Pdf/ePub] eBook

The Reviewer’s Guide to Quantitative Methods in the Social Sciences by Gregory R. Hancock,Ralph O. Mueller Book Resume:

The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.

Language Testing Reconsidered

Quantitative Data Analysis For Language Assessment Volume I [Pdf/ePub] eBook

Language Testing Reconsidered by Janna D. Fox,Mari Wesche ,Doreen Bayliss Book Resume:

Language Testing Reconsidered provides a critical update on major issues that have engaged the field of language testing since its inception. Anyone who is working in, studying or teaching language testing should have a copy of this book. The information, discussions, and reflections offered within the volume address major developments within the field over the past decades, enlivened by current "takes" on these issues. The real value of this collection, however, lies in its consideration of the past as a means of defining the future agenda of language testing.