brandsma {mice} | R Documentation |
Dataset with raw data from Snijders and Bosker (2012) containing data from 4106 pupils attending 216 schools. This dataset includes all pupils and schools with missing data.
brandsma
is a data frame with 4106 rows and 14 columns:
sch
School number
pup
Pupil ID
iqv
IQ verbal
iqp
IQ performal
sex
Sex of pupil
ses
SES score of pupil
min
Minority member 0/1
rpg
Number of repeated groups, 0, 1, 2
lpr
language score PRE
lpo
language score POST
apr
Arithmetic score PRE
apo
Arithmetic score POST
den
Denomination classification 1-4 - at school level
ssi
School SES indicator - at school level
This dataset is constructed from the raw data. There are a few differences with the data set used in Chapter 4 and 5 of Snijders and Bosker:
All schools are included, including the five school with
missing values on langpost
.
Missing denomina
codes are left as missing.
Aggregates are undefined in the presence of missing data
in the underlying values.
Variables ses
, iqv
and iqp
are in their
original scale, and not globally centered.
No aggregate variables at the school level are included.
There is a wider selection of original variables. Note however that the source data contain an even wider set of variables.
Constructed from MLbook_2nded_total_4106-99.sav
from
https://www.stats.ox.ac.uk/~snijders/mlbook.htm by function
data-raw/R/brandsma.R
Brandsma, HP and Knuver, JWM (1989), Effects of school and classroom characteristics on pupil progress in language and arithmetic. International Journal of Educational Research, 13(7), 777 - 788.
Snijders, TAB and Bosker RJ (2012). Multilevel Analysis, 2nd Ed. Sage, Los Angeles, 2012.