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Spring Seminar 2008

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Confirmatory and Exploratory Multivariate Modelling

2nd week: Topics in three-mode analysis

March 3 – March 7, 2008

Pieter M. Kroonenberg (Leiden University)

This course is designed to introduced researchers into the, primarily exploratory, analysis of multi-way data. Given that multi is in most cases three, the presentation will be primarily in terms of three-way data and models. The course is designed with the view of applying the methods, rather than as a mathematical exposition of the theory of multiway methods. During the course, there will be a number of practice sessions with three-way software to gain a feeling of how analyses can be conducted and there is ample opportunity to analyse one's own data, if so desired.

In the course, the major models in the area will be discussed including those topics which are required to perform insightful analyses. Moreover, a variety of examples will be presented to give an idea of what is possible with multiway data.

Prerequisites:
A prerequisite is a solid grasp of principal component analysis and a basic familiarity with linear algebra and matrices. A detailed knowledge of mathematical statistics is not necessary.

Literature (suggested Reading):

Harshman, R. A. & Lundy, M. E, (1994). PARAFAC: Parallel factor analysis. Computational Statistics and Data Analysis, 18, 39-72.

Kroonenberg, P. M. (1994). The TUCKALS line: A suite of programs for three-way data analysis.
Computational Statistics and Data Analysis, 18
, 73-96.

Kiers, H.A.L. & Van Mechelen, I. (2001). Three-way component analysis: Principles and illustrative application. Psychological Methods, 6. 84-110.

Kroonenberg, P. M. (2007, to appear). Applied multiway data anaylsis. Hoboken, NJ: Wiley

 

Timetable of the 2nd week:
Topics in three-mode analysis

Pieter M. Kroonenberg (Leiden University)

under way...

Contacts:
  • Address:
    Zentralarchiv für Empirische Sozialforschung,
    Universität zu Köln, 
    Bachemer Str. 40,
    D- 50931 Köln, 
    Germany
     
  • Spring Seminar Secretariat:
    Phone +49-221-47694-46 - Fax: +49-221- 47694-904 e-mail: spring-seminar@gesis.org
  • Scientific Coordinator Maria Rohlinger
    Phone +49-221-47694 - 45 - e-mail: spring-seminar@gesis.org
  • More information

© GESIS Maria Rohlinger 17.10.2007