R2MLwiN (version 0.8-2)

hungary1: Hungarian component of 2nd International Science Survey, '84; see Goldstein 2003

Description

Hungarian component of 2nd International Science Survey, consisting of 2439 women across 99 districts.

Format

A data frame with 2439 observations on the following 10 variables:

school

Identifying code for each school (level 2 unit).

female

Gender indicator: a factor with levels Male and Female.

es_core

Core Earth Sciences test result.

biol_core

Core Biology test result.

biol_r3

Optional Biology test result.

biol_r4

Optional Biology test result.

phys_core

Core Physics test result.

phys_r2

Optional Physics test result.

cons

Constant(=1).

student

Identifying code for each student (level 1 unit).

Source

Browne, W. J. (2012) MCMC Estimation in MLwiN Version 2.26. University of Bristol: Centre for Multilevel Modelling. Goldstein, H.. (2003) Multilevel Statistical Models. Third Edition. London, Edward Arnold. Rasbash, J., Charlton, C., Browne, W.J., Healy, M. and Cameron, B. (2009) MLwiN Version 2.1. Centre for Multilevel Modelling, University of Bristol.

Details

The hungary1 dataset is one of the sample datasets provided with the multilevel-modelling software package MLwiN (Rasbash et al., 2009). Originally analysed in Goldstein (2003), further details can also be found in Browne (2012).

Examples

## Not run: 
# 
# data(hungary1, package = "R2MLwiN")
# 
# (mymodel <- runMLwiN(c(es_core, biol_core, biol_r3, biol_r4, phys_core, phys_r2) ~ 
#   1 + female + (1 | school) + (1 | student),
#   D = "Multivariate Normal", estoptions = list(EstM = 1), data = hungary1))
# 
# ## End(Not run)