ExamScores: Exam results for six inner London Education Authorities
In jomo: Multilevel Joint Modelling Multiple Imputation
ExamScores R Documentation
Exam results for six inner London Education Authorities
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
data(cldata)
Format
A data frame with 4059 observations on the following 6 variables.
schoolA school identifier.
studentA student ID.
normexamStudents' exam score at age 16, normalised and partially observed.
sexSex of pupil; a factor with levels boy, girl.
consA column of 1s. Useful to add an intercept to th eimputation model.
standlrtStudents' score at age 11 on the London Reading Test (LRT), standardised.
schgendSchools' gender; a factor with levels corresponding to mixed school (mixedsch), boys' school (boysch), and girls' school (girlsch).
avslrtAverage LRT score in school.
schavAverage LRT score in school, coded into 3 categories: low = bottom 25%, mid = middle 50%, high = top 25%.
vrbandStudents' 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.
jomo documentation built on April 15, 2023, 5:07 p.m.
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| ExamScores | R Documentation |
Exam results for six inner London Education Authorities
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
data(cldata)Format
A data frame with 4059 observations on the following 6 variables.
schoolA school identifier.
studentA student ID.
normexamStudents' exam score at age 16, normalised and partially observed.
sexSex of pupil; a factor with levels boy, girl.
consA column of 1s. Useful to add an intercept to th eimputation model.
standlrtStudents' score at age 11 on the London Reading Test (LRT), standardised.
schgendSchools' gender; a factor with levels corresponding to mixed school (mixedsch), boys' school (boysch), and girls' school (girlsch).
avslrtAverage LRT score in school.
schavAverage LRT score in school, coded into 3 categories: low = bottom 25%, mid = middle 50%, high = top 25%.
vrbandStudents' 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.
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