{"title":"Visualizing categorical data: An introduction to correspondence analysis for technical communication researchers","authors":"C. Lam","doi":"10.1109/IPCC.2014.7020345","DOIUrl":null,"url":null,"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.","PeriodicalId":290419,"journal":{"name":"2014 IEEE International Professional Communication Conference (IPCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Professional Communication Conference (IPCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPCC.2014.7020345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
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.