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

C. Lam
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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.
分类数据的可视化:技术交流研究人员的对应分析导论
技术交流研究人员经常收集分类的或非数字的数据。然而,在分析这类数据时,研究人员通常仅限于报告描述性统计数据或简单的列联表。对应分析是一种先进的统计技术,它允许研究人员更有力地探索复杂的分类数据集。本文将首先定义对应分析,然后介绍在XLSTAT中执行对应分析的教程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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