Muutke küpsiste eelistusi

Multi-Dimensional Analysis: Research Methods and Current Issues [Kõva köide]

Edited by (São Paulo Catholic University, Brazil), Edited by (São Paulo Catholic University, Brazil)
  • Formaat: Hardback, 278 pages, kõrgus x laius: 234x156 mm, kaal: 572 g, 120 bw illus
  • Ilmumisaeg: 21-Mar-2019
  • Kirjastus: Bloomsbury Academic
  • ISBN-10: 1350023825
  • ISBN-13: 9781350023826
Teised raamatud teemal:
  • Kõva köide
  • Hind: 151,56 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 178,30 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 278 pages, kõrgus x laius: 234x156 mm, kaal: 572 g, 120 bw illus
  • Ilmumisaeg: 21-Mar-2019
  • Kirjastus: Bloomsbury Academic
  • ISBN-10: 1350023825
  • ISBN-13: 9781350023826
Teised raamatud teemal:

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.

Arvustused

The contributors to this volume, leading figures in multi-dimensional analysis, bring in these chapters experience and expertise to enhance existing corpus linguistics resources. The reader will accordingly find both a richness of analysis as well as clarity in explanation of MDA procedures. Essential reading for all researchers using corpus methods who wish to understand how register patterns vary, how the variation may be pinned down, and how such variation relates to underlying situational, social, and cognitive functions. * Mike Scott, Visiting Research Fellow in Corpus Linguistics, Aston University, UK * This book is a must-read for anyone who wishes to carry out multi-dimensional analyses of corpora. It consists of a collection of chapters written by experts in the field which take the reader through the origins of the approach and along its different methodological stages, drawing on a range of examples as well as offering a detailed account of existing MD research. It encourages, enlightens and enables future MD analysts. * Paul Baker, Professor of English Language, Lancaster University, UK *

Muu info

A comprehensive guide to multi-dimensional analysis, looking at its foundational history, statistical methods and its key elements. The book examines register, corpus building, tagging and tools.
List of Illustrations
ix
List of Contributors
xv
Acknowledgments xvi
Introduction 1(10)
Tony Berber Sardinha
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
11(16)
2 Corpus Design and Representativeness Jesse Egbert
27(16)
3 Tagging and Counting Linguistic Features for Multi-Dimensional Analysis Bethany Gray
43(24)
4 The Multi-Dimensional Analysis Tagger Andrea Nini
67(30)
Part Two Conducting an MD Analysis: Quantitative and Qualitative Aspects
5 Multivariate Statistics Commonly Used in Multi-Dimensional Analysis Pascual Cantos-Gomez
97(28)
6 Doing Multi-Dimensional Analysis in SPSS, SAS, and R Jesse Egbert and Shelley Staples
125(20)
7 From Factors to Dimensions: Interpreting Linguistic Co-occurrence Patterns Eric Friginal and Jack A. Hardy
145(20)
8 Adding Registers to a Previous Multi-Dimensional Analysis Tony Berber Sardinha, Marcia Veirano Pinto, Cristina Mayer, Maria Carolina Zuppardi, and Carlos Henrique Kauffmann
165(24)
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 Romer
189(28)
10 Using Discriminate Function Analysis in Multi-Dimensional Analysis Marcia Veirano Pinto
217(14)
11 Using Multi-Dimensional Analysis to Detect Representations of National Cultures Tony Berber Sardinha
231(28)
Index 259
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.