Arbeitspapier
On heterogeneous latent class models with applications to the analysis of rating scores
Discovering the preferences and the behaviour of consumers is a key challenge in marketing. Information about such topics can be gathered through surveys in which the respondents must assign a score to a number of items. In this article we suggest a strategy to analyze such data and achieve this objective: it consists in identifying groups of consumers whose response patterns are similar and characterizing them in terms of preferences and covariates. We use latent class models allowing for heterogeneity of both latent class and within-class probabilities across individuals. We illustrate the proposed methodology using data about the preferences of Belgian households for supermarkets.
- Language
-
Englisch
- Bibliographic citation
-
Series: SFB 649 Discussion Paper ; No. 2011-062
- Classification
-
Wirtschaft
Multiple or Simultaneous Equation Models: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
Econometric Software
Marketing
- Subject
-
latent class analysis
rating scores
heterogeneity
EM algorithm
marketing
Konsumentenverhalten
Befragung
Präferenztheorie
Multivariate Analyse
Clusteranalyse
Theorie
Einkaufsstättenwahl
SB-Lebensmittelgeschäft
Schätzung
Belgien
- Event
-
Geistige Schöpfung
- (who)
-
Bertrand, Aurélie
Hafner, Christian M.
- Event
-
Veröffentlichung
- (who)
-
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
- (where)
-
Berlin
- (when)
-
2011
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Bertrand, Aurélie
- Hafner, Christian M.
- Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
Time of origin
- 2011
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On heterogeneous latent class models with applications to the analysis of rating scores
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Oligoantigenic diet improves children’s ADHD rating scale scores reliably in added video-rating
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A New Formulation for Latent Class Models
Schätzverfahren und Tests für Latent Class-Modelle
Model-Based Manifest and Latent Composite Scores in Structural Equation Models
Applications of latent trait and latent class models in the social sciences
Some Latent Trait and Latent Class Analyses of the Beck-Depression-Inventory (BDI)
On heterogeneous latent class models with applications to the analysis of rating scores
Latent-Class-Analyse
Multimethod latent class analysis
Latent Trait und Latent Class Analysen des Beck-Depressionsinventars
Numbers matter! The society of indicators, scores and ratings
Oligoantigenic diet improves children’s ADHD rating scale scores reliably in added video-rating
Latente Variablen und Rating-Skalen : Möglichkeiten der Messung mit Rating-Indikatoren und einem Rating-Response-Modell
A New Formulation for Latent Class Models
Schätzverfahren und Tests für Latent Class-Modelle
Model-Based Manifest and Latent Composite Scores in Structural Equation Models
Applications of latent trait and latent class models in the social sciences