Una evaluación empírica del procedimiento de segmentación conjunto de clases latentes

  1. Eduardo Picón Prado 1
  2. Jesús Varela Mallou 2
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  2. 2 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

Journal:
Metodología de las ciencias del comportamiento

ISSN: 1575-9105

Year of publication: 2004

Volume: 5

Issue: 1

Pages: 491-498

Type: Article

More publications in: Metodología de las ciencias del comportamiento

Abstract

Here, an empirical segmentation of the Spanish tourism preferences is carried out using the latent class approach (finite mixture regression) originally developed by DeSarbo, Wedel, Vriens, and Ramaswamy (1992) and recently available in PC friendly programs. Although this segmentation procedure does not seem to classify well hole populations, it proves to have an excellent performance when used to extract small, homogeneous segments out of a big heterogeneous set.