Sardinha T.B., Pinto M.V. Multi-dimensional Analysis: Research Methods and Current Issues

Bloomsbury Academic, 2019. — 276 p. — ISBN: 978-1-3500-2382-6.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.Understanding the Principles: Origins of the Method, Corpus Design, and Annotation
Multi-Dimensional Analysis: A Historical Synopsis Corpus Design and Representativeness
Tagging and Counting Linguistic Features for Multi-Dimensional Analysis
The Multi-Dimensional Analysis Tagger
Conducting an MD Analysis: Quantitative and Qualitative Aspects
Multivariate Statistics Commonly Used in Multi-Dimensional Analysis
Doing Multi-Dimensional Analysis in SPSS, SAS, and R
From Factors to Dimensions: Interpreting Linguistic Co-occurrence Patterns
Adding Registers to a Previous Multi-Dimensional Analysis
Exploring the Method
Examining Lexical and Cohesion Differences in Discipline-Specific Writing Using Multi-Dimensional Analysis
Using Discriminate Function Analysis in Multi-Dimensional Analysis
Using Multi-Dimensional Analysis to Detect Representations of National Cultures