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
Link To Document