Implementation of JCA (Joint Correspondence Analysis) and MCA (Multiple Correspondence Analysis): Opportunities and Restrictions

Student: Gordeeva Daria

Supervisor: Mark Shaphir

Educational Programme: Applied Methods of Social Analysis of Markets (Master)

Year of Graduation: 2019

The work is devoted to the comparison of effectiveness of two technics of multiple correspondence analysis – multiple correspondence analysis on full Burt Matrix (MCA) and joint correspondence analysis (JCA). Joint correspondence analysis resolves the problem of underestimating of model’s quality due to the diagonal effect of Burt’s matrix by applying a special iterative algorithm.

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