Multi-Dimensional Analysis

Preface Introduction, Tony Berber Sardinha and Marcia Veirano Pinto (São Paulo Catholic University, Brazil) Part I: Understanding the principles: origins of the method, corpus design and annotation 1. Multi-dimensional analysis: a historical synopsis, Douglas Biber (Northern Arizona University, USA) 2. Corpus design and representativeness, Jesse Egbert (Brigham Young University, USA) 3. Tagging and counting linguistic features for multi-dimensional analysis, Bethany Gray (Iowa State University, USA) 4. The Multi-dimensional Analysis Tagger, Andrea Nini (Aston University, UK) Part II: Conducting an MD analysis: Quantitative and qualitative analysis 5. Multivariate statistics commonly used in multi-dimensional analysis, Pascual Cantos Gomez (University of Murcia, Spain) 6. Doing multi-dimensional analysis in SPSS, SAS and R, Jesse Egbert (Northern Arizona University, USA) and Shelley Staples (Purdue University, USA) 7. From factors to dimensions: interpreting linguistic co-ocurrence patterns, Eric Friginal (Georgia State University, USA) and Jack Hardy (Emory College of Arts and Science, USA) 8. Adding registers to a previous multi-dimensional analysis, Tony Berber Sardinha, Marcia Veirano Pinto, Carlos Kauffmann, Carolina Zuppardi and Cristina Mayer Acunzo (São Paulo Catholic University, Brazil) Part III. Exploring the method 9. Examining lexical and cohesion differences in discipline specific writing using MDA, Scott A. Crossley, Kristopher Kyle and Ute Römer (Georgia State University, USA) 10. Using Discriminate Function Analysis in multi-dimensional analysis, Marcia Veirano Pinto (São Paulo Catholic University, Brazil) 11. Using multidimensional analysis to detect representations of national identity, Tony Berber Sardinha (São Paulo Catholic University, Brazil) Bibliography Index