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\name{egsingle}
\alias{egsingle}
\docType{data}
\title{US Sustaining Effects study}
\description{
A subset of the mathematics scores from the U.S. Sustaining Effects
Study. The subset consists of information on 1721 students from 60 schools
}
\usage{data(egsingle)}
\format{
A data frame with 7230 observations on the following 12 variables.
\describe{
\item{schoolid}{a factor of school identifiers}
\item{childid}{a factor of student identifiers}
\item{year}{a numeric vector indicating the year of the test}
\item{grade}{a numeric vector indicating the student's grade}
\item{math}{a numeric vector of test scores on the IRT scale score metric}
\item{retained}{a factor with levels \code{0} \code{1} indicating if
the student has been retained in a grade.}
\item{female}{a factor with levels \code{Female} \code{Male}
indicating the student's sex}
\item{black}{a factor with levels \code{0} \code{1} indicating if
the student is Black}
\item{hispanic}{a factor with levels \code{0} \code{1} indicating if
the student is Hispanic}
\item{size}{a numeric vector indicating the number of students
enrolled in the school}
\item{lowinc}{a numeric vector giving the percentage of low-income
students in the school}
\item{mobility}{a numeric vector}
}
}
%\details{}
\source{
These data are distributed with the HLM software package (Bryk,
Raudenbush and Congdon, 1996). Conversion to the R format is
described in Doran and Lockwood (2004).
}
\references{
Doran, Harold C. and Lockwood, J.R. (2004), \emph{Fitting value-added
models in R}, (submitted).
}
\examples{
str(egsingle)
(fm1 <- lmer(math~year*size+female+(1|childid)+(1|schoolid), egsingle))
}
\keyword{datasets}
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