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A latent class analysis of the public attitude towards the euro adoption in Poland
[journal article]
Abstract Latent class analysis can be viewed as a special case of model–based clustering for multivariate discrete data. It is assumed that each observation comes from one of a number of classes, groups or subpopulations, with its own probability distribution. The overall population thus follows a finite mix... view more
Latent class analysis can be viewed as a special case of model–based clustering for multivariate discrete data. It is assumed that each observation comes from one of a number of classes, groups or subpopulations, with its own probability distribution. The overall population thus follows a finite mixture model. When observed, data take the form of categorical responses—as, for example, in public opinion or consumer behavior surveys it is often of interest to identify and characterize clusters of similar objects. In the context of marketing research, one will typically interpret the latent number of mixture components as clusters or segments. In fact, LC analysis provides a powerful new tool to identify important market segments in target marketing. We used the model based clustering approach for grouping and detecting inhomogeneities of Polish opinions on the euro adoption. We analyzed data collected as part of the Polish General Social Survey using the R software.... view less
Keywords
Poland; public opinion; Euro; Eurozone; monetary union; classification; analysis procedure; data; analysis; method
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
European Politics
Free Keywords
Latent class analysis; Mixture model; Categorical data; Euro adoption; Polish General Social Survey (GSS)
Document language
English
Publication Year
2014
Page/Pages
p. 427-442
Journal
Advances in Data Analysis and Classification, 8 (2014) 4
DOI
https://doi.org/10.1007/s11634-013-0156-0
ISSN
1862-5355
Status
Published Version; peer reviewed