Multi-Dimensional Analysis

Research Methods and Current Issues

Nonfiction, Reference & Language, Language Arts, Linguistics, Reference
Cover of the book Multi-Dimensional Analysis by , Bloomsbury Publishing
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Author: ISBN: 9781350023840
Publisher: Bloomsbury Publishing Publication: March 21, 2019
Imprint: Bloomsbury Academic Language: English
Author:
ISBN: 9781350023840
Publisher: Bloomsbury Publishing
Publication: March 21, 2019
Imprint: Bloomsbury Academic
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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