school23 {influence.ME}

Math test performance in 23 schools

Description

The school23 data contains information on students' performance on a math test, as well as several explanatory variables. These data are subset of the NELS-88 data (National Education Longitudinal Study of 1988). Both a selected number of variables and a selected number of observations are given here.

Format

A data frame with 519 observations on the following 15 variables.

school.ID

a factor with 23 levels, representing the 23 schools within which students are nested.

SES

a numeric vector, representing the socio-economic status

mean.SES

a numeric vector, representing the mean socio-economic status per school

homework

a factor representing the time spent on math homework each week, with levels None, Less than 1 hour, 1 hour, 2 hours, 3 hours, 4-6 hours, 7-9 hours, and 10 or more

parented

a factor representing the parents' highest education level, with levels Dod not finish H.S., H.S. grad or GED, GT H.S. and LT 4yr degree, College graduate, M.A. or equivalent, and Ph.D., M.D., other

ratio

a numeric vector, representing the student-teacher ratio

perc.minor

a factor representing the percent minority in school, with levels None, 1-5, 6-10, 11-20, 21-40, 41-60, 61-90, and 91-100

math

a numeric vector, representing the number of correct answers on a mathematics test

sex

a factor with levels Male and Female

race

a factor with levels Asian, Hispanic, Black, White, and American Indian

school.type

a factor representing the school type, with levels Public school, Catholic school, Private, other religious affiliation, and Private, no religious affiliation

structure

a numeric vector representing the degree to which the classroom environment is structured. High values represent higher levels of (accurate) classroom environment structure

school.size

a factor representing the total school enrollment, with levels 1-199 Students, 200-399, 400-599, 600-799, 800-999, 1000-1199, and 1200+

urban

a factor with levels Urban, Suburban, and Rural

region

a factor with levels Northeast, North Central, South, and West

Details

Labels for the factors were found in an appendix in Kreft \& De Leeuw (1998). All labels were designated, although in some cases not all possible values are represented in the variable (i.e. region). This is probably due to the fact that this is only a subsample from the full NELS-88 data.

Also, some of the variable names were changed.

Source

These data are used in the examples given in Kreft \& De Leeuw (1998). Both the examples and the data are publicly available from the internet: http://www.ats.ucla.edu/stat/examples/imm/. Data reproduced with permission from Jan de Leeuw.

References

Kreft, I. and De Leeuw, J. (1998). Introducing Multilevel Modeling. Sage Publications.

Examples

## Not run: 
data(school23)
model <- lmer(math ~ structure + (1 | school.ID), data=school23)
summary(model)

## End(Not run)