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Contents

Top Introduction Invited Speakers Titles and Abstracts of
Keynote Lectures
FA100 ACADEMIC PROGRAM Organizing Committee
and Financial Support
Access Map: Conference Site and Hotel
Japanese Page

[logo] Factor Analysis
Centennial Symposium
at Osaka
October 2-4, 2004

Conference Site: Osaka University Nakanoshima Center
(Osaka downtown)

Deadlines

For those who wish to attend this symposium, please send an email to Yutaka Kano at your earliest convenience.

Registration and Social Programs

Registration fee: ¥2,000
Excursion: ¥5,000. Water-bus tour on October 2 (almost occupied)
Banquet: ¥5,000. October 3

Introduction

[spearman] We are greatly honored to be given an opportunity to host this international symposium to celebrate the factor analysis centenary. The factor analysis was initiated by Sir Charles Spearman who published the seminal article "General Intelligence: Objectively Determined and Measured" in American Journal of Psychology in 1904, as is well-known. Christopher D. Green mentioned that this paper is probably the most influential paper in the history of psychometric intelligence theory. We can read the full paper on the internet at the site gClassics in the History of Psychologyh developed by Green. Charles Spearman also published the article "The proof and measurement of association between two things" again in American Journal of Psychology in the same year. It should be emphasized that he had already pointed out attenuation of correlation with measurement errors and given the formula to correction for the attenuation in this article. During the 20th century, many psychologists and statisticians have contributed to the developments of theory and applications of factor analysis and solved many problems involving in factor analysis such as multiple-factor solution, communality problem, algorithm for obtaining estimates, improper solutions, factor rotation, Bayesian method, reliability issue, nonlinear model, nonnormal model, factor analysis with categorical variables. Now, factor analysis is one of standard multivariate analysis techniques. Structural equation modeling (SEM) has been developed based on the factor analysis theory, and has shown to be a powerful tool in many fields of empirical research. In addition, in the late of the last century, independent factor analysis (IFA; noisy independent component analysis) came out. The model equation of the IFA is quite similar to the one of the traditional factor analysis, but the IFA is totally different because it heavily depends on nonnormality. There is no factor rotation indeterminacy in the IFA. The symposium aims at discussing topics from the Spearman-Thurstone traditional factor analysis to the modern IFA by many worldwide famous researchers. The final goal is to find something novel behind FA, SEM and IFA.


Invited Speakers

Keynote Speakers

  • Peter M. Bentler
  • (UCLA, USA)
  • ten Berge
  • (University of Groningen, The Netherlands)
  • Aapo Hyvarinen
  • (University of Helsinki, Finland)
  • Sik-Yum Lee
  • (The Chinese University of Hong Kong, China)
  • Ab Mooijaart
  • (Leiden University, The Netherlands)
  • Albert Satorra
  • (Universitat Pompeu Fabra, Spain)
  • Kazuo Shigemasu
  • (Tokyo University, Japan)
  • Haruo Yanai
  • (National Center for University Entrance Examinations, Japan)
  • Ke-Hai Yuan
  • (University of Notre Dame, USA)

    Click here to see their talk titles and abstrats.

    Invited Speakers


    Organizing Committee

    Yutaka Kano (Osaka University, Chair)
    Kohei Adachi (Ritsumeikan University)
    Manabu Kuroki (Osaka University)
    Tomoyuki Sugimoto (Osaka University)
    Yusuke Miyamoto (Osaka University)

    Finacial Support

    The symposium is held as the 83rd symposium of the Behaviormetric Society of Japan. Financially supported by Grant-in-aid for Scientifit Research from the the Japan Society for the Promotion of Science #14204006 (A)(1) awarded Professors Masafumi Akahira (Tsukuba University) and #15500185 (C)(2) Yutaka Kano (Osaka University). Cosponsored by the Graduate Schools of Engineering Science and Human Science of Osaka University.

    SPSS Inc., Informatique Inc., Multivariate Software Inc., Muthen & Muthen, Mathematical Systems Inc.

    Send questions to kano AT sigmath.es.osaka-u.ac.jp