xc1 {R2MLwiN}

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.

Usage

xc1

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.

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).

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.

See Also

See mlmRev package for an alternative format of the same dataset.

Examples

## 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)