Quantification - Quantification

Japanese: 数量化 - すうりょうか

In order to elucidate a certain phenomenon, it is important to analyze multivariate data that simultaneously measures the subject from several aspects. Measurements include quantitative data, which is given in numbers, and qualitative data, which cannot be expressed in numbers, with the latter being more difficult to handle. Quantification is a statistical data analysis method devised to extract useful information from qualitative multivariate data, and was developed by Hayashi Chikio of the Institute of Statistical Mathematics, Ministry of Education. It is also called "Hayashi's quantification" or "Hayashi's quantification theory," and is based on four core analytical methods named Quantification Type I, Type II, Type III, and Type IV.

Source: Heibonsha World Encyclopedia, 2nd Edition Information

Japanese:

ある現象を解明するためには，調査対象をいくつかの側面から同時に測定した多変量データの分析が重要である。測定値には数量で与えられる量的データと数量では表現できない質的データとがあり，後者の方が扱いは難しい。数量化は質的な多変量データから有効な情報を引き出すために工夫された統計的データ解析法で，文部省統計数理研究所の林知己夫（ちきお）によって開発された。〈林の数量化〉〈(林の)数量化理論〉ともいい，数量化第I類，第II類，第III類，第IV類と名づけられた四つの分析法を中核とする。

出典　株式会社平凡社世界大百科事典第２版について　情報

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