Title :
Visualizing categorical data: An introduction to correspondence analysis for technical communication researchers
Author_Institution :
Univ. of North Texas, Denton, TX, USA
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;
Conference_Titel :
Professional Communication Conference (IPCC), 2014 IEEE International
Conference_Location :
Pittsburgh, PA
DOI :
10.1109/IPCC.2014.7020345