Conducting Multi-Dimensional analysis using SPSS

Eric Friginal, Jack A. Hardy

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

16 Citations (Scopus)

Abstract

This chapter provides a step-by-step guide for conducting a new MD analysis with SPSS v. 18. Data for MD analysis are obtained from Factor Analysis, a statistical procedure that extracts co-occurring factors, which can be functionally interpreted to produce linguistic dimensions. With this guide, readers can use normed tags from the Biber POS-tagger or from other commercially available taggers (e.g. CLAWS) to conduct their own analysis. In preparation for MD analysis, we will first walk the reader through the processes of corpus tagging, data preparation, and data screening. We will then give detailed instructions on how to conduct an Exploratory Factor Analysis, interpret the resulting factors functionally, and compute dimension scores.

Original languageEnglish
Title of host publicationMulti-Dimensional Analysis, 25 years on. A tribute to Douglas Biber
EditorsTony Berber Sardinha, Marcia Veirano Pinto
PublisherJohn Benjamins Publishing Company
Pages297-321
Number of pages25
ISBN (Electronic)9789027270153
DOIs
Publication statusPublished - 2014

Publication series

NameStudies in Corpus Linguistics
Volume60
ISSN (Print)1388-0373

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language
  • Education
  • Management of Technology and Innovation

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