xc1: Examination scores of 16-year olds in Fife, Scotland.

Description

A dataset of examination scores of 16-year olds in Fife, Scotland, in which the secondary school the pupil attended is cross-classified by the primary school the pupil attended.

Arguments

Format

A data frame with 3435 observations on the following 11 variables:

vrq: A verbal reasoning score resulting from tests pupils took when they entered secondary school.
attain: Attainment score of pupils at age sixteen.
pid: Primary school identifying code.
sex: Pupils' gender: a factor with levels Male and Female.
sc: Pupils' social class (scaled from low to high).
sid: Secondary school identifying code.
fed: Fathers' education.
choice: Choice number of secondary school attended (where 1 is first choice, etc.)
med: Mothers' education.
cons: A column of ones. If included as an explanatory variable in a regression model (e.g. in MLwiN), its coefficient is the intercept.
pupil: Pupil identifying code.

Source

Browne, W. J. (2012) MCMC Estimation in MLwiN Version 2.26. University of Bristol: Centre for Multilevel Modelling. Paterson, L. (1991) Socio economic status and educational attainment: a multidimensional and multilevel study. Evaluation and Research in Education, 5, 97-121. 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 xc1 dataset is one of the sample datasets provided with the multilevel-modelling software package MLwiN (Rasbash et al., 2009), analysed by Paterson (1991). The data are cross-classified in that not all children who attended the same primary school subsequently entered the same secondary school. See also Browne (2012).

Examples

Run this code

## Not run: 
# 
# data(xc1, package = "R2MLwiN")
# 
# (mymodel <- runMLwiN(attain ~ 1 + (1 | sid) + (1 | pid) + (1 | pupil),
#  estoptions = list(xc = TRUE, EstM = 1), data = xc1))
# 
# ## End(Not run)