File: brandsma.Rd

package info (click to toggle)
r-cran-mice 3.17.0-1
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 2,380 kB
  • sloc: cpp: 121; sh: 25; makefile: 2
file content (62 lines) | stat: -rw-r--r-- 2,231 bytes parent folder | download | duplicates (3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/brandsma.R
\docType{data}
\name{brandsma}
\alias{brandsma}
\title{Brandsma school data used Snijders and Bosker (2012)}
\format{
\code{brandsma} is a data frame with 4106 rows and 14 columns:
\describe{
\item{\code{sch}}{School number}
\item{\code{pup}}{Pupil ID}
\item{\code{iqv}}{IQ verbal}
\item{\code{iqp}}{IQ performal}
\item{\code{sex}}{Sex of pupil}
\item{\code{ses}}{SES score of pupil}
\item{\code{min}}{Minority member 0/1}
\item{\code{rpg}}{Number of repeated groups, 0, 1, 2}
\item{\code{lpr}}{language score PRE}
\item{\code{lpo}}{language score POST}
\item{\code{apr}}{Arithmetic score PRE}
\item{\code{apo}}{Arithmetic score POST}
\item{\code{den}}{Denomination classification 1-4 - at school level}
\item{\code{ssi}}{School SES indicator - at school level}
}
}
\source{
Constructed from \code{MLbook_2nded_total_4106-99.sav} from
\url{https://www.stats.ox.ac.uk/~snijders/mlbook.htm} by function
\code{data-raw/R/brandsma.R}
}
\description{
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.
}
\note{
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:
\enumerate{
\item All schools are included, including the five school with
missing values on \code{langpost}.
\item Missing \code{denomina} codes are left as missing.
\item Aggregates are undefined in the presence of missing data
in the underlying values.
Variables \code{ses}, \code{iqv} and \code{iqp} are in their
original scale, and not globally centered.
No aggregate variables at the school level are included.
\item There is a wider selection of original variables. Note
however that the source data contain an even wider set of
variables.
}
}
\references{
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.
}
\keyword{datasets}