Multi-Dimensional Analysis: Research Methods and Current Issues
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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 Cover Half title Series page Title Copyrights Dedication Contents List of Illustrations List of Contributors Acknowledgments Introduction Tony Berber Sardinha and Marcia Veirano Pinto Part One Understanding the Principles: Origins of the Method, Corpus Design, and Annotation 1 Multi-Dimensional Analysis: A Historical Synopsis Douglas Biber 2 Corpus Design and Representativeness Jesse Egbert 3 Tagging and Counting Linguistic Features for Multi-Dimensional Analysis Bethany Gray 4 The Multi-Dimensional Analysis Tagger Andrea Nini Part Two Conducting an MD Analysis: Quantitative and Qualitative Aspects 5 Multivariate Statistics Commonly Used in Multi-Dimensional Analysis Pascual Cantos-Gomez 6 Doing Multi-Dimensional Analysis in SPSS, SAS, and R Jesse Egbert and Shelley Staples 7 From Factors to Dimensions: Interpreting Linguistic Co-occurrence Patterns Eric Friginal and Jack A. Hardy 8 Adding Registers to a Previous Multi-Dimensional Analysis Tony Berber Sardinha, Marcia Veirano Pinto, Cristina Mayer, Maria Carolina Zuppardi, and Carlos Henrique Kauffmann Part Three Exploring the Method 9 Examining Lexical and Cohesion Differences in Discipline-Specific Writing Using Multi-Dimensional Analysis Scott A. Crossley, Kristopher Kyle, and Ute Römer 10 Using Discriminate Function Analysis in Multi-Dimensional Analysis Marcia Veirano Pinto 11 Using Multi-Dimensional Analysis to Detect Representations of National Cultures Tony Berber Sardinha Index
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