This book provides a comprehensive guide both to the statistical methods in multi-dimensional analysis (MDA) and its key elements. It looks at register, corpus building, tagging and tools. It shows how such elements are explored in latest research findings, which have pushed the limits of MDA by applying it to specialized registers as well as lexical cohesion. Multi-dimensional analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) by identifying complementary correlation groupings of dozens of variables through factor analysis. This includes variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality and formality to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers. The first research on the method was first published in 1988 by Douglas Biber, however, due to difficulties related both to the tagging and counting of such an array of linguistic features and to access to statistical software packages in the past decades, it has only become popular in recent years, with more and more researchers availing themselves of this powerful method to describe variation in a diversity of linguistic domains such as academic settings, regional discourse, social media, movies, pop songs. This book is a complete research guide to MDA.
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Tony Berber Sardinha is a professor with the Applied Linguistics Graduate Program and the Linguistics Dept, São Paulo Catholic University, Brazil. He has published numerous books and research articles, and is on the board of several journals and book collections. His interests are corpus linguistics, metaphor analysis, and applied linguistics.
Marcia Veirano Pinto is a Professor in the School of Philosophy, Languages and Humanities, São Paulo Federal University, Brazil and is a member of the editorial body of the journal DELTA: Documentação e estudos em linguística teórica e aplicada. She is a co-editor of books on corpus linguistics and has authored several book chapters on EFL and corpus research.
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Hardcover. Condition: new. Hardcover. Multi-Dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-Dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own.Multi-Dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers.This book is a comprehensive research guide to MDA. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781350023826
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Hardcover. Condition: new. Hardcover. Multi-Dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-Dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own.Multi-Dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers.This book is a comprehensive research guide to MDA. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781350023826
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