Multi-Dimensional Analysis: Research Methods and Current Issues - Softcover

Softcover

ISBN 10: 1350190403 ISBN 13: 9781350190405

Publisher: Bloomsbury Academic, 2020

Synopsis

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.

About this title

About the Author

Tony Berber Sardinha is Professor of Applied Linguistics at the Pontifical Catholic University in São Paulo, Brazil.
Marcia Veirano Pinto is Adjunct Professor of English at the Federal University in São Paulo, Brazil.

Edition details

• Publisher: Bloomsbury Academic
• Publication date: 2020
• Language: English
• ISBN 10: 1350190403
• ISBN 13: 9781350190405
• Binding: Paperback
• Number of pages: 278
• Editor: Sardinha Tony Berber