R: US Sustaining Effects study

egsingle {mlmRev} | R Documentation

## 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.

schoolid

  a factor of school identifiers

childid

  a factor of student identifiers

year

  a numeric vector indicating the year of the test

grade

  a numeric vector indicating the student's grade

math

  a numeric vector of test scores on the IRT scale score metric

retained

  a factor with levels `0` `1` indicating if the student has been retained in a grade.

female

  a factor with levels `Female` `Male` indicating the student's sex

black

  a factor with levels `0` `1` indicating if the student is Black

hispanic

  a factor with levels `0` `1` indicating if the student is Hispanic

size

  a numeric vector indicating the number of students enrolled in the school

lowinc

  a numeric vector giving the percentage of low-income students in the school

mobility

  a numeric vector

### 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), Fitting value-added models in R, (submitted).

### Examples

    str(egsingle)
    (fm1 <- lmer(math~year*size+female+(1|childid)+(1|schoolid), egsingle))

[Package mlmRev version 1.0-6 Index]