xc1: Examination scores of 16-year olds in Fife, Scotland.
In R2MLwiN: Running 'MLwiN' from Within R

xc1	R Documentation

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.

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.

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)

R2MLwiN documentation built on March 31, 2023, 9:17 p.m.