Introduction / Tony Berber Sardinha and Marcia Veirano Pinto -- Part I. Understanding the principles: Origins of the method, corpus design and annotation: -- Multi-dimensional analysis: a historical synopsis / Douglas Biber -- 2. Corpus design and representativeness / Jesse Egbert -- 3. Tagging and counting linguistic features for Multi-Dimensional Analysis / Bethany Gray -- 4. The Multi-dimensional Analysis Tagger / Andrea Nini -- Part II. Conducting an MD analysis: Quantitative and qualitative aspects: 5. Multivariate statistics commonly used in multi-dimensional analysis / Pascual Cantos Gomez -- 6. Doing multi-dimensional analysis in SPSS, SAS and R / Jesse Egbert and Shelley Staples -- 7. From factors to dimensions: Interpreting linguistic co-occurrence patterns / Eric Friginal and Jack Hardy -- 8. Adding registers to a previous multi-dimensional analysis / Marcia Veirano Pinto, Tony Berber Sardinha, Cristina Mayer, Maria Carolina Zuppardi, Carlos Henrique Kauffmann -- Part III. Exploring the method: 9. Examining lexical and cohesion differences in discipline specific writing using MDA / Scott A. Crossley, Kristopher Kyle and Ute Romer -- 10. Using Discriminate Function Analysis in multi-dimensional analysis / Marcia Veirano Pinto -- 11. Using multidimensional analysis to detect representations of national identity / Tony Berber Sardinha -- Bibliography -- Index.
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