A latent class analysis of the public attitude towards the euro adoption in Poland

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 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.

Conceptualizing and Measuring Appetite Self-Regulation Phenotypes and Trajectories in Childhood: A Review of Person-Centered Strategies

“…A key advantage of all FMM is the ability to directly incorporate predictors or antecedents, covariates, including time-varying covariates, and outcomes in the model ( 27 , 32 , 43 , 52 , 85 , 86 ). Many techniques have been suggested for the examination of covariates [e.g., ( 87 )]. One possibility is based on a regression model where class membership is predicted by the covariates, or classes are used to predict outcome variables such as zBMI ( 70 ).…”

Teoria reakcji na pozycję w podejściu modelowym w taksonomii / Item response theory in model-based clustering

“…np. [Bąk 2011;Genge 2013Genge , 2014Lazarsfeld, Henry 1968]), w modelach IRT zaś (w modelach teorii reakcji na pozycję) ukryta jest tzw. zdolność reakcji respondenta na pozycje skali (cechą ukrytą (latent trait) jest zdolność respondenta).…”

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“…np. [Dayton, Macready 1988, s. 173-178;Hagenaars, McCutcheon 2002;Genge 2013]). W ukrytych modelach Markowa analizowany jest głównie wpływ zmiennych towarzyszących na prawdopodobieństwa przejścia do poszczególnych klas [Chung i in.…”