Zusammenfassung
Die Latent-Class-Analyse, ein multivariates Klassifikationsverfahren, soll auf ihre Einsatzmöglichkeit im Bereich der Marktforschung untersucht werden. Zuerst wird das unrestringierte Latent-Class-Modell (LCM) dargestellt, das die Grundidee der LCA bei Vorliegen polychotomer Daten aufzeigen soll. Anschließend wird auf neuere Entwicklungen eingegangen, die eine geeignete Einbeziehung ordinalskalierter Merkmale in die Analyse versuchen. Dies ist vor allem beim Einsatz der LCA innerhalb der Absatzforschung von Bedeutung.
Abstract
This paper is concerned with the application of Latent-Class-Analysis (LCA), a special form of Latent-Structure Analysis, in consumer research. First, the unrestricted Latent-Class-Model (LCM) shall be demonstrated, when polychotomous variables with not ordered categories are given. This model can show the basic ideas of LCA. Then, new developments in LCA are touched, which try the wright treatment of variables with ordered categories. The application of LCA to such kind of variables is of great interest in consumer research and the practicability of this method shall be tested.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Literatur
ANDRICH, D. Application of the psychometric rating model to ordered categories which are scored with successive integers. Applied Psychological Measurement, 2, 581 – 594 (1978)
ANDRICH, D. An extention of the Rasch model for ratings providing both location and dispersion parameters. Psychometrika, 47, 105 – 113 (1982)
CLOGG, C.C. Some latent structure models for the analysis of Likert-type data. Social Science Research, 8, 287 – 301 (1979)
CLOGG, C.C. New developments in latent structure analysis. Jackson, D.J., Borgatta, E.F. (ed.): Factor analysis and measurement in sociological research. London, 215 – 246 (1981)
FORMANN, A.K. Die Latent—Class—Analyse. Einführung in Theorie und Anwendung. Weinheim: Beltz-Verlag (1984)
GOODMAN, L.A. The analysis of systems of qualitative variables when some of the variables are unobservable. Part I — a modified latent structure approach. American Journal of Sociology, 79, 1179 – 1259 (1974a)
GOODMAN, L.A. Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika, 61, 215 – 231 (1974b)
GOODMAN, L.A. On the estimation of parameters in latent structure analysis. Psychometrika, 44, 123 – 128 (1979)
MASTERS, G.N. A Rasch model for partial credit scoring. Psychometrika, 47, 149 – 174 (1982)
MASTERS, G.N., Wright, B.D. The essential process in a family of measurement models. Psychometrika, 49, 529 – 544 (1984)
ROST, J. Rating scale analysis with latent class models. Psychometrika, 53, 327 – 348 (1988)
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1992 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Moosmüller, G. (1992). Die Latent-Class-Analyse — ein Praktikables Klassifikationsverfahren Auch in der Absatzforschung?. In: Gaul, W., Bachem, A., Habenicht, W., Runge, W., Stahl, W.W. (eds) Operations Research Proceedings 1991. Operations Research Proceedings 1991, vol 1991. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46773-8_142
Download citation
DOI: https://doi.org/10.1007/978-3-642-46773-8_142
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-55410-3
Online ISBN: 978-3-642-46773-8
eBook Packages: Springer Book Archive