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Multi-Dimensional Analysis - Research Methods and Current Issues (Hardcover)
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Multi-Dimensional Analysis - Research Methods and Current Issues (Hardcover)
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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.
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