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A psychometric study on principal components analysis of categorical data

Research Project

Project/Area Number 09610114
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field 教育・社会系心理学
Research InstitutionNagoya University

Principal Investigator

MURAKAMI Takashi  School of Education, Nagoya University, Professor, 教育学部, 教授 (70093078)

Project Period (FY) 1997 – 1998
Project Status Completed (Fiscal Year 1998)
Budget Amount *help
¥2,800,000 (Direct Cost: ¥2,800,000)
Fiscal Year 1998: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 1997: ¥1,900,000 (Direct Cost: ¥1,900,000)
KeywordsPrincipal components analysis / Multiple correspondence analysis / Theory of quantification / Orthomax rotation / Meet and join / Rating scales / カテゴリカル・データ / 対応分析 / (因子負荷の)単純構造
Research Abstract

Non-metric principal components analysis with relaxed rank restrictions, originally proposed by De Leeuw and van Rijckevorsel (1988), is investigated from both theoretical and practical view points. A new alternating least squares algorithm for large sample cases and a procedure of rotations of a matrix of loadings from two directions are formulated. It is also shown that the method minimizes three different loss functions, and relations of the method with principal component analysis (PCA) and multiple correspondence analysis (MCA) are explored in the context of join-loss and meet-loss in the sense of Gifi (1990) . Numerical examples show that the method not only produces more interpretable results than those from MCA, but also explains the differences between solutions of PCA and MCA.

Report

(3 results)
  • 1998 Annual Research Report   Final Research Report Summary
  • 1997 Annual Research Report
  • Research Products

    (9 results)

All Other

All Publications (9 results)

  • [Publications] 村上 隆: "カテゴリカル・データの非計量的主成分分析の応用" 名古屋大学教育学部紀要(心理学). 44. 87-105 (1997)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1998 Final Research Report Summary
  • [Publications] C.Hayashi et al.(Eds.): "Classification,Data Analysis and Related Methods." Springer-Verlag., 780 (1998)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1998 Final Research Report Summary
  • [Publications] Murakami, T.: "Applications of nonmetric princi-pal components analysis for categorical data." Bulletin of the School of Education, Nagoya University (Psychology). 44. 87-105 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1998 Final Research Report Summary
  • [Publications] Murakami, T.: Tucker2 as a second-order princi-pal component analysis.C.Hayashi et al.(Eds.) Clas-sification, Data Analysis and Related Methods. Springer-Verlag., 575-586

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1998 Final Research Report Summary
  • [Publications] 村上 隆: "カテゴリカル・データの非計量的主成分分析の応用" 名古屋大学教育学部紀要(心理学). 44. 87-105 (1997)

    • Related Report
      1998 Annual Research Report
  • [Publications] 村上 隆: "選択肢への重みの最適化とテストの項目分析" 平成9年度科学研究費補助金基盤研究(A)「多変量解析の利用による大学入試データ解析システムの開発」研究成果報告書. 449-454 (1998)

    • Related Report
      1998 Annual Research Report
  • [Publications] C.Hayashi et al.(Eds.): "Classification, Data Analysis and Related Methods." Springer-Verlag., 780 (1998)

    • Related Report
      1998 Annual Research Report
  • [Publications] 村上 隆: "カテゴリカル・データの非計量的主成分分析の応用" 名古屋大学教育学部紀要(心理学). 44. 87-105 (1997)

    • Related Report
      1997 Annual Research Report
  • [Publications] Hayashi, C.: "Data Science, Classification, and Related Methods." Springer Verlag, 780 (1998)

    • Related Report
      1997 Annual Research Report

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Published: 1997-04-01   Modified: 2016-04-21  

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