school23 {influence.ME} | R Documentation |
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.
data(school23)
A data frame with 519 observations on the following 15 variables.
school.ID
SES
mean.SES
homework
None
, Less than 1 hour
, 1 hour
, 2 hours
, 3 hours
, 4-6 hours
, 7-9 hours
, and 10 or more
parented
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
perc.minor
None
, 1-5
, 6-10
, 11-20
, 21-40
, 41-60
, 61-90
, and 91-100
math
sex
Male
and Female
race
Asian
, Hispanic
, Black
, White
, and American Indian
school.type
Public school
, Catholic school
, Private, other religious affiliation
, and Private, no religious affiliation
structure
school.size
1-199 Students
, 200-399
, 400-599
, 600-799
, 800-999
, 1000-1199
, and 1200+
urban
Urban
, Suburban
, and Rural
region
Northeast
, North Central
, South, and
West
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.
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.
Kreft, I. and De Leeuw, J. (1998). Introducing Multilevel Modeling. Sage Publications.
data(school23) model <- lmer(math ~ structure + (1 | school.ID), data=school23)