jspmix1 | R Documentation |
An educational dataset of pupils' test scores, a subset of the Junior School Project (Mortimore et al., 1988).
jspmix1
A data frame with 1119 observations on the following 8 variables:
School identifying code.
Pupil identifying code.
Sex of pupil; a factor with levels female
and male
.
Fluency in English indicator, where 0
= beginner,
1
= intermediate, 2
= fully fluent; measured in Year 1.
Test score, out of 40; measured in Year 1.
Pupils' English test score, out of 100; measured in Year 3.
Pupils' behaviour score, where lowerquarter
= pupil
rated in bottom 25%, and upper
otherwise; measured in Year 3.
A column of ones. If included as an explanatory variable in a regression model (e.g. in MLwiN), its coefficient is the intercept.
A subset of the Junior School Project (Mortimore et al., 1988), the
jspmix1
dataset is one of the sample datasets provided with the
multilevel-modelling software package MLwiN (Rasbash et al., 2009), and is
used in Browne (2012) as an example of modelling mixed responses. It
consists of test scores for 1119 pupils across 47 schools. Note that the
behaviour
variable originally had three categories, and the middle
50% and top 25% have been combined to produce a binary variable.)
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.
## Not run:
data(jspmix1, package = "R2MLwiN")
jspmix1$denomb <- jspmix1$cons
(mymodel <- runMLwiN(c(english, probit(behaviour, denomb)) ~
1 + sex + ravens + fluent[1] + (1 | school) + (1[1] | id),
D = c("Mixed", "Normal", "Binomial"),
estoptions = list(EstM = 1, mcmcMeth = list(fixM = 1, residM = 1, Lev1VarM = 1)),
data = jspmix1))
## End(Not run)
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