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.
The Concise Companion to Language Assessment provides a state-of-the-art overview of the crucial areas of language assessment, teaching, and learning. Edited by one of the foremost scholars in the field, The Concise Companion combines newly commissioned articles on innovations in assessment with a selection of chapters from The Companion to Language Assessment, the landmark four-volume reference work first published in 2013. Presented in eight themes, The Concise Companion addresses a broad range of language assessment methods, issues, and contexts. Forty-five chapters cover assessment conceptualization, development, research, and policy, as well as recent changes in language assessment technology, learning-oriented assessment, teacher-based assessment, teacher assessment literacy, plurilingual assessment, assessment for immigration, and more. Exploring the past, present, and future possibilities of the dynamic field, The Concise Companion to Language Assessment: Contains dedicated chapters on listening, speaking, reading writing, vocabulary, pronunciation, intercultural competence, and other language skills Describes fundamental assessment design and scoring guidelines, as well as advanced concepts in scenario-based assessment and automated performance scoring Provides insights on different assessment environments, such as classrooms, universities, employment, immigration, and healthcare Covers various qualitative and quantitative research methods, including introspective methods, classical reliability, and structural equation modeling Discusses the impacts of colonialism and discrimination on the history of language assessment Explores the use of AI in writing evaluation, plagiarism and cheating detection, and other assessment contexts Sure to become a standard text for the next generation of applied linguistics students, The Concise Companion to Language Assessment is an invaluable textbook for undergraduate and graduate courses in applied linguistics, language assessment, TESOL, second language acquisition, and language policy.
This book 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.
Quantitative Methods for Second Language Research introduces approaches to and techniques for quantitative data analysis in second language research, with a primary focus on second language learning and assessment research. It takes a conceptual, problem-solving approach by emphasizing the understanding of statistical theory and its application to research problems while paying less attention to the mathematical side of statistical analysis. The text discusses a range of common statistical analysis techniques, presented and illustrated through applications of the IBM Statistical Package for Social Sciences (SPSS) program. These include tools for descriptive analysis (e.g., means and percentages) as well as inferential analysis (e.g., correlational analysis, t-tests, and analysis of variance [ANOVA]). The text provides conceptual explanations of quantitative methods through the use of examples, cases, and published studies in the field. In addition, a companion website to the book hosts slides, review exercises, and answer keys for each chapter as well as SPSS files. Practical and lucid, this book is the ideal resource for data analysis for graduate students and researchers in applied linguistics.
Defining and discussing the relevance of theoretical and practical issues involved in mixed methods research. Covering the basics of research methodology, this textbook shows you how to choose and combine quantitative and qualitative research methods to b
Currents in Language Learning is a biennial book series published by Wiley and the Language Learning Research Club at the University of Michigan. It provides programmatic state-of-the-art overviews of current issues in the language sciences and their applications in first, second, and bi/multilingual language acquisition in naturalistic and tutored contexts. It brings together disciplinary perspectives from linguistics, psychology, education, anthropology, sociology, cognitive science, and neuroscience.
Includes a CD-ROM with Excel worksheets for hands-on practice, completed worksheets for you to check your answers, and video tutorials for each Excel worksheet Recommended for TESOL Masters and Diploma students, language teacher educators, teachers in charge of testing for their language programs, or who write their own tests
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
