R: Brandsma school data used Snijders and Bosker (2012)

brandsma {mice} | R Documentation

## Brandsma school data used Snijders and Bosker (2012)

### 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.

### Format

`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

### 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:

1. All schools are included, including the five school with missing values on `langpost`.

2. Missing `denomina` codes are left as missing.

3. 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.

4. There is a wider selection of original variables. Note however that the source data contain an even wider set of variables.

### Source

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`

### 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.

[Package mice version 3.12.0 Index]