Description

A partially observed version of the tutorial dataset in package R2MLwiN.It includes examination results from six inner London Education Authorities (school boards).

Usage

Format

A data frame with 4059 observations on the following 6 variables.

school

A school identifier.

student

A student ID.

normexam

Students' exam score at age 16, normalised and partially observed.

sex

Sex of pupil; a factor with levels boy, girl.

cons

A column of 1s. Useful to add an intercept to th eimputation model.

standlrt

Students' score at age 11 on the London Reading Test (LRT), standardised.

schgend

Schools' gender; a factor with levels corresponding to mixed school (mixedsch), boys' school (boysch), and girls' school (girlsch).

avslrt

Average LRT score in school.

schav

Average LRT score in school, coded into 3 categories: low = bottom 25%, mid = middle 50%, high = top 25%.

vrband

Students' score in test of verbal reasoning at age 11, a factor with 3 levels: vb1 = top 25%, vb2 = middle 50%, vb3 = bottom 25%.

Details

These fully observed verison of the data is available with package R2MLwiN.

Source

Browne, W. J. (2012) MCMC Estimation in MLwiN Version 2.26. University of Bristol: Centre for Multilevel Modelling.

Goldstein, H., Rasbash, J., Yang, M., Woodhouse, G., Pan, H., Nuttall, D., Thomas, S. (1993) A multilevel analysis of school examination results. Oxford Review of Education, 19, 425-433.

Rasbash, J., Charlton, C., Browne, W.J., Healy, M. and Cameron, B. (2009) MLwiN Version 2.1. Centre for Multilevel Modelling, University of Bristol.