• DocumentCode
    239919
  • Title

    Visualizing categorical data: An introduction to correspondence analysis for technical communication researchers

  • Author

    Lam, Chris

  • Author_Institution
    Univ. of North Texas, Denton, TX, USA
  • fYear
    2014
  • fDate
    13-15 Oct. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Technical communication researchers often collect categorical, or non-numerical, data. However, when analyzing this type of data, researchers are typically limited to reporting descriptive statistics or simple contingency tables. One advanced statistical technique that allows researchers to more powerfully explore complex categorical data sets is correspondence analysis. This article will first define correspondence analysis and then walk through a tutorial for conducting correspondence analysis in XLSTAT.
  • Keywords
    data visualisation; statistical analysis; XLSTAT; advanced statistical technique; categorical data set; contingency table; correspondence analysis; descriptive statistics; technical communication researcher; visualizing categorical data; Data visualization; Market research; Spreadsheet programs; Tutorials; Visualization; Writing; Correspondence analysis; data visualization; quantitative research; technical communication research;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Professional Communication Conference (IPCC), 2014 IEEE International
  • Conference_Location
    Pittsburgh, PA
  • Type

    conf

  • DOI
    10.1109/IPCC.2014.7020345
  • Filename
    7020345