Multiple Correspondence Analysis Approach to Examine Nobel Prize Data from 1901 to 2018
The main objective of this study is to examine Nobel Prize data by studying the association between the country of the laureate, the discipline and time periodin which the Nobel Prize was awarded and the gender of the recipient. These four categorical variables are cross-classified to form a four-way contingency table and multiple correspondence analysis is used to examine the association between them. The study consists of785 individuals from eight developed countries that received a Nobel Prize in the period from 1901 to 2018 (inclusive) – the countries being Canada, France, Germany, Italy, Japan, Russia, British Isles and the USA – while the disciplines in which the individuals were awarded the prize are chemistry, physics, physiology or medicine, literature, economics and peace.
Keywords - Multiple Correspondence Analysis, Joint Correspondence Analysis, Burt Matrix, Nobel Prize