- Title
- Multiple correspondence analysis as a tool for examining Nobel Prize data from 1901 to 2018
- Creator
- Alhuzali, T.; Beh, E. J.; Stojanovski, E.
- Relation
- PLoS ONE Vol. 17, Issue 4, no. e0265929
- Publisher Link
- http://dx.doi.org/10.1371/journal.pone.0265929
- Publisher
- Public Library of Science (PLoS)
- Resource Type
- journal article
- Date
- 2022
- Description
- The main goal of this paper is to examine Nobel Prize data by studying the association among the laureate’s country of birth or residence, discipline, time period in which the Nobel Prize was awarded, and gender of the recipient. Multiple correspondence analysis is used as a tool to examine the association between these four categorical variables by cross classifying them in the form of a four-way contingency table. The data that we examine comprise Nobel Prize recipients from 1901 to 2018 (inclusive) from eight-developed countries, with a total sample of 785 Nobel Prize recipients. The countries include Canada, France, Germany, Italy, Japan, Russia, the British Isles, and the USA and the disciplines in which the individuals were awarded the prizes include chemistry, physics, physiology or medicine, literature, economics, and peace.
- Subject
- Nobel Prize data; awards and prizes; correspondence analysis; health
- Identifier
- http://hdl.handle.net/1959.13/1454076
- Identifier
- uon:44822
- Identifier
- ISSN:1932-6203
- Rights
- © 2022 Alhuzali et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Language
- eng
- Full Text
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