Correspondence analysis approach to examine the Nobel Prize

Title: Correspondence analysis approach to examine the Nobel Prize
Creator: Alhuzali, T.; Stojanovski, E.; Beh, E. J.
Relation: 23rd International Congress on Modelling and Simulation. Proceedings of the 23rd International Congress on Modelling and Simulation (MODSIM2019) (Canberra, Australia 01-06 December, 2019) p. 284-290
Relation: https://mssanz.org.au/modsim2019/B5/alhuzali.pdf
Publisher: Modelling and Simulation Society of Australia and New Zealand
Resource Type: conference paper
Date: 2019
Description: The main goal of this study is to examine Nobel Prize data by exploring and studying the association between the Country of the nominated individual (or of the nominated team) and the Discipline in which the Nobel Prize was awarded. The sample studied comprises the eight the most developed countries that received at least one Nobel Prize in the period from 1901 to 2018; these being Canada, France, Germany, Italy, Japan, Russia, British Isles and the USA. The variables Country and Discipline are cross-classified to form a two-way contingency table. Simple correspondence analysis is performed to explore the nature of the association between these two variables.
Subject: simple correspondence analysis; chi squared test of independence; Nobel Prize
Identifier: http://hdl.handle.net/1959.13/1446016
Identifier: uon:42737
Identifier: ISBN:9780975840092
Language: eng
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