Satisfacción acumulativa del consumidor a través de modelos de curvas latentes de crecimiento de segundo orden

  1. Cristina López
  2. Karmele Fernández
  3. Peter Mariel
Journal:
Inguruak: Soziologia eta zientzia politikoaren euskal aldizkaria = Revista vasca de sociología y ciencia política

ISSN: 0214-7912

Year of publication: 2010

Issue Title: Sociedad e innovación en el siglo XXI

Issue: 1

Type: Article

More publications in: Inguruak: Soziologia eta zientzia politikoaren euskal aldizkaria = Revista vasca de sociología y ciencia política

Bibliographic References

  • Bollen, K. & Curran, P. (2006), Latent Curve Models. A Structural Equation Perspective, John Wiley and Sons, Hoboken, New Yersey.
  • Coenders, G., Batista-Foguet, J. & Willem Saris, E. (2005), Temas Avanzados en Modelos de Ecuaciones Estructurales, La Muralla, Madrid.
  • Duncan, T., Duncan, S., Strycker, L., Li, F. & Alpert, A. (1999), An introduction to latent variable growth curve modeling. Concepts, issues and applications, lawrence Erlbaum, Mahwah, NJ.
  • Fernández, K., López Caro, C. & Mariel, P. (2005), “La satisfacción del consumidor: una aplicación del análisis factorial confirmatorio a la industria automovilística española”, Estadística española 47, 117-141.
  • Hancock, G.R., Kuo, W.L. & Lawrence, F.R. (2001), “An ilustration of second order latent growth models”, Structural Equation modeling 8(3), 470-489.
  • López C., Cristina (2009), “Análisis Multivariantes Aplicados a la Industria Automovilística”, Tesis Doctoral.
  • McArdle, J. (1988), Dynamic but structural equation modeling of repeated measures data, in J. Nesselroade & R. Cattell, eds, “Handbook of multivariate experimental psychology”, New York: Plenum, pp. 561-614.
  • McArdle, J.J. & Aber, M.S. (1991), Pattern of change within latent variable structural equation model, in “Statistical methods in longitudinal research”, A. von Eye, Boston: Ed. Academic Press, pp. 151-224.
  • McArdle, J.J. & Epstein, D. (1987), “Latent growth curves within developmental structural equation models”, Child development 58, 110-133.
  • Meredith, W. (1993), “Measurement invariance, factor analysis and factorial invariance”, Psycometrika 58, 525-543.
  • Meredith, W. & Tisak, J. (1990), “Latent curve analysis”, Psychometrika 55, 107-122.
  • Muthen, B. (2001), Latent variable mixture modeling, in G. Marcoulides & R. Schumacker, eds, “New developments and techniques in structural equation modeling”, Mahwah, Lawrence Erlbaum Associates, pp. 1-33
  • Muthen, B. (2004), Latent variable analysis: Growth mixture modeling and related techniques for longitudinal data, in D. Kaplan, ed., “Handbook of quantitative methodology for the social sciences”, Newbury Park, CA: Sage Publications, pp. 345-368.
  • Muthen, B.O. & Curran, P.J. (1997), “General longitudinal modeling of individual differences in experimental designs: a latent variable framework for analysis and power estimation”, Psychological Methods 2(4), 371-402.
  • Rao, C.R. (1958), “Some statistical methods for comparing growth curves”, Psychometrika 14, 1-17.
  • Sayer, A. & Cumsille, P. (2001), Second order latent growth models, New methods for the analysis of change, Collins, L.M. and Sayer, A. (Eds), pp. 179-200.
  • Setó P., D. (2004), De la Calidad de Servicio a la Fidelidad del Cliente, ESIC, Madrid.
  • Tse, D. K., Nicosia, F. & Wilton, P.C. (1990), “Consumer satisfaction as a process”, Psychology and Marketing 7, 177-193.
  • Tucker, L.R. (1958), “Determination of parameters of a functional relation by factor analysis”, Psychometrika 23, 19-23.