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\name{Exam}
\alias{Exam}
\docType{data}
\title{Exam scores from inner London}
\description{
Exam scores of 4,059 students from 65 schools in Inner London.
}
\usage{data(Exam)}
\format{
A data frame with 4059 observations on the following 9 variables.
\describe{
\item{school}{School ID - a factor.}
\item{normexam}{Normalized exam score.}
\item{schgend}{School gender - a factor. Levels are \code{mixed},
\code{boys}, and \code{girls}.}
\item{schavg}{School average of intake score.}
\item{vr}{Student level Verbal Reasoning (VR) score band at intake -
a factor. Levels are \code{bottom 25\%}, \code{mid 50\%}, and
\code{top 25\%}.}
\item{intake}{Band of student's intake score - a factor.
Levels are \code{bottom 25\%}, \code{mid 50\%} and \code{top
25\%}./}
\item{standLRT}{Standardised LR test score.}
\item{sex}{Sex of the student - levels are \code{F} and \code{M}.}
\item{type}{School type - levels are \code{Mxd} and \code{Sngl}.}
\item{student}{Student id (within school) - a factor}
}
}
%\details{}
\source{
\url{http://www.bristol.ac.uk/cmm/learning/mmsoftware/data-rev.html}
}
\references{
Goldstein, H., Rasbash, J., et al (1993). A multilevel analysis of
school examination results. \emph{Oxford Review of Education} 19: 425-433
}
\examples{
str(Exam)
summary(Exam)
(fm1 <- lmer(normexam ~ standLRT + sex + schgend + (1|school), Exam))
(fm2 <- lmer(normexam ~ standLRT*sex + schgend + (1|school), Exam))
(fm3 <- lmer(normexam ~ standLRT*sex + schgend + (1|school), Exam))
}
\keyword{datasets}
|
