hsfull: Math achievement and ses in a sample of 160 U.S. schools from...

In gmonette/spida15: Collection of miscellaneous functions for mixed models etc. prepared for SPIDA 2009+ (development version)

Description

This is a classical data set from the field of education used to illustrate multilevel data and models. It is used in the first edition of Bryk and Raudenbush. hsfull is the complete data set with 160 high schools, hs is a random subset of 40 high schools, hs1 is a random subset of 80 schools and h2 contains the complement of hs1. These two subsets can be used to illustrate split sample validation: develop a model on one half of the data and assess its performance on the other.

Usage

  data(hsfull)

  data(hs)
  
  data(hs1)
  
  data(hs2)
  

Format

A data frame with 7185 observations on the following 9 variables.

school

school id

mathach

measure of math achievment

ses

socio-economic status of family

Sex

a factor with levels Female Male

Minority

a factor with levels No Yes

Size

the size of the school

Sector

a factor with levels Catholic Public

PRACAD

a measure of the priority given by the school to academic subjects

DISCLIM

a measure of the disciplinary climate in the school

Details

Each row consists of the data for one student. hsfull is the complete data set. hs1 and hs2 are complementary split halves of the schools in the data. hs is a selection of 40 schools which seems to be a good number of clusters for presentations in class.

Source

Bryk and Raudenbush (COMPLETE)

References

Raudenbush, Stephen and Bryk, Anthony (2002), Hierarchical Linear Models: Applications and Data Analysis Methods, Sage (chapter 4).

Examples

xqplot(hsfull)
xqplot( up( hsfull, ~ school) )
## maybe str(hsfull) ; plot(hsfull) ...

gmonette/spida15 documentation built on May 17, 2019, 7:26 a.m.