psychotree (version 0.12-2)

EuropeanValuesStudy: European Values Study

Description

A sample of the 1999 European Values Study (EVS) containing an assessment of materialism/postmaterialism in 3584 respondents from 32 countries.

Usage

data("EuropeanValuesStudy")

source

Latent GOLD Sample Data Sets Website.

http://www.statisticalinnovations.com/products/choice_datasets.html

Details

The data are part of a larger survey conducted in 1999 in 32 countries in Europe (see http://www.europeanvaluesstudy.eu/). Vermunt (2003) obtained a sample from 10 percent of the available cases per country, yielding 3584 valid cases.

The item in the 1999 European Values Study questionnaire aiming at recording materialism/postmaterialism reads as follows:

There is a lot of talk these days about what the aims of this country should be for the next ten years. On this card are listed some of the goals which different people would give top priority. If you had to choose, which of the things on this card would you say is most important? And which would be the next most important? A Maintaining order in the nation B Giving people more say in important government decisions C Fighting rising prices D Protecting freedom of speech

The double-choice task implies a partial ranking of the alternatives and (assuming transitivity) an incomplete set of paired comparisons for each respondent.

The country group according to postmaterialism was derived by Vermunt (2003) using a latent class model, and applied by Lee and Lee (2010) in a tree model.

References

Lee, P.H., & Yu, P.L.H. (2010). Distance-Based Tree Models for Ranking Data. Computational Statistics and Data Analysis, 54, 1672--1682.

Vermunt, J.K. (2003). Multilevel Latent Class Models. Sociological Methodology, 33, 213--239.

See Also

paircomp

Examples

## data
data("EuropeanValuesStudy", package = "psychotree")
summary(EuropeanValuesStudy$paircomp)

## Bradley-Terry tree resulting in similar results compared to
## the (different) tree approach of Lee and Lee (2010)
evs <- na.omit(EuropeanValuesStudy)
bt <- bttree(paircomp ~ gender + eduage + birthyear + marital + employment + income + country2,
  data = evs, alpha = 0.01)
plot(bt, abbreviate = 2)