Modelos factoriales para datos longitudinales con estructuras comunes y específicas

  1. José Luis Vicente-Villardón 1
  2. M.P. Galindo-Villardón 1
  3. M.P. Vicente- Galindo 2
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  2. 2 Universidad Europea Miguel de Cervantes, Valladolid
Journal:
Metodología de las ciencias del comportamiento

ISSN: 1575-9105

Year of publication: 2004

Volume: 5

Issue: 1

Pages: 621-629

Type: Article

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More publications in: Metodología de las ciencias del comportamiento

Abstract

One of the most useful techniques to analyse latent structures is exploratory Factor Analysis. When se,wal data matrices, arising from different occasions and/ or groups. are obtained, the comparison and integration of the resulting latent spaces is an important task. In this paper we propase a factor model far severa! groups th at includes shared common (actors far ali the groups and speci(ic (actors far each group. Shared common factors are obtained from the common directions of the separated latent subspaces and specific factors from the residuals after projecting the group onto the common subspace.

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