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Article ID: CBB001021408

Psychometric Roots of Multidimensional Data Analysis in the Netherlands: From Gerard Heymans to John van de Geer (2008)

Journal Electronique d'Histoire des Probabilités et de la Statistique
Volume: 4, no. 2
Issue: 2

Publication Date: 2008
Edition Details: http://www.jehps.net/Decembre2008/Heiser.pdf (Accessed on November 29, 2010). Part of a special issue, “About the History of Multivariate Exploratory Data Analysis”
Language: English

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Psychology Data analysis 20th century Netherlands Heymans, Gerard Geer, John P. van de

The development of multidimensional data analysis in the Netherlands can be traced back to early attempts in the beginning of the 20th century by Gerard Heymans to account for individual differences in personality. He was one of the first who collected and analyzed multivariate data sets, including many categorical variables, and who constructed a multidimensional model of personality types. After the first World War, psychological testing expanded enormously, especially in the United States, leading to the development of multiple factor analysis and Guttman's optimal scaling technique for categorical data. The paper discusses the important role of John van de Geer in introducing and expanding multivariate methodology in the Netherlands, and draws some parallels and connections between two major groups of the Dutch school of data analysis in Leiden and Groningen.

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Description “Discusses the important role of John van de Geer in introducing and expanding multivariate methodology in the Netherlands.” (from the abstract)

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Article Lebart, Ludovic (2008) Exploratory Multivariate Data Analysis from Its Origins to 1980: Nine Contributions. Journal Electronique d'Histoire des Probabilités et de la Statistique. unapi

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