JSPmiss: Exam results for six inner London Education Authorities
In jomo: Multilevel Joint Modelling Multiple Imputation
JSPmiss R Documentation
Exam results for six inner London Education Authorities
Description
A partially observed version of the jspmix1 dataset in package R2MLwiN. This is an educational dataset of pupils' test scores, a subset of the Junior School Project (Mortimore et al, 1988).
Usage
data(cldata)
Format
A data frame with 4059 observations on the following 6 variables.
schoolA school identifier.
idA student ID.
fluentFluency in English indicator, where 0 = beginner, 1 = intermediate, 2 = fully fluent; measured in Year 1.
sexSex of pupil; numeric with levels 0 (boy), 1 (girl).
consA column of 1s. Useful to add an intercept to th eimputation model.
ravensTest score, out of 40; measured in Year 1.
englishPupils' English test score, out of 100; measured in Year 3.
behaviourPupils' behaviour score, where lowerquarter = pupil rated in bottom 25%, and upper otherwise; measured in Year 3.
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.
Mortimore, P., Sammons, P., Stoll, L., Lewis, D., Ecob, R. (1988) School Matters. Wells: Open Books.
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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| JSPmiss | R Documentation |
Exam results for six inner London Education Authorities
Description
A partially observed version of the jspmix1 dataset in package R2MLwiN. This is an educational dataset of pupils' test scores, a subset of the Junior School Project (Mortimore et al, 1988).
Usage
data(cldata)Format
A data frame with 4059 observations on the following 6 variables.
schoolA school identifier.
idA student ID.
fluentFluency in English indicator, where 0 = beginner, 1 = intermediate, 2 = fully fluent; measured in Year 1.
sexSex of pupil; numeric with levels 0 (boy), 1 (girl).
consA column of 1s. Useful to add an intercept to th eimputation model.
ravensTest score, out of 40; measured in Year 1.
englishPupils' English test score, out of 100; measured in Year 3.
behaviourPupils' behaviour score, where lowerquarter = pupil rated in bottom 25%, and upper otherwise; measured in Year 3.
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.
Mortimore, P., Sammons, P., Stoll, L., Lewis, D., Ecob, R. (1988) School Matters. Wells: Open Books.
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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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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