Joint Correspondence Analysis: A Case Study on Life Satisfaction in Türkiye

Correspondence analysis is used both as a numerical and mostly as a graphical analysis when the data set is expressed as tables that contain frequencies or counts. It enables researchers to comprehend and interpret the relationship between the variables included in a contingency table. Simple correspondence analysis explores the relationship between two variables in a contingency table. However, most practical situations involve more than two variables, for which multiple correspondence analysis is employed to investigate the relationships among them. Joint correspondence analysis is proposed as an improvement of the multiple correspondence analysis. The aim of this study is to analyze and interpret the data from the survey of life satisfaction in Türkiye through joint correspondence analysis and alternative multiple correspondence analysis.