HS.ability.data {OpenMx} | R Documentation |

##
Holzinger and Swineford (1939) Ability data in 301 children from two schools

### Description

This classic data set contains of intelligence-test scores from 301 children on 26 distinct tests.
The data are also available in the MBESS package.

The tests cover mental speed, memory, mathematical-ability, spatial, and verbal ability as listed below.

### Usage

data("HS.ability.data")

### Format

A data frame with 301 observations on the following 2 variables.

`id`

student ID number (int)

`Gender`

Sex (Factor w/ 2 levels “Female”,“Male”

`grade`

Grade in school (integer 7 or 8)

`agey`

Age in years (integer)

`agem`

Age in months (integer)

`school`

School attended (Factor w/2 levels “Grant-White” and “Pasteur”)

`addition`

A speed test (numeric)

`code`

A speed test (numeric)

`counting`

A speed test (numeric)

`straight`

A speed test (numeric)

`wordr`

A memory subtest

`numberr`

A memory subtest

`figurer`

A memory subtest

`object`

A memory subtest

`numberf`

A memory subtest

`figurew`

A memory subtest

`deduct`

A mathematical subtest

`numeric`

A mathematical subtest

`problemr`

A mathematical subtest

`series`

A mathematical subtest

`arithmet`

A mathematical subtest

`visual`

A spatial subtest

`cubes`

A spatial subtest

`paper`

A spatial subtest

`flags`

A spatial subtest

`paperrev`

A spatial subtest

`flagssub`

A spatial subtest

`general`

A verbal subtest

`paragrap`

A verbal subtest

`sentence`

A verbal subtest

`wordc`

A verbal subtest

`wordm`

A verbal subtest

### Details

The data are from children who differ in grade (seventh- and eighth-grade) and are nested in one of two schools (Pasteur and Grant-White). You will see it in use elsewhere, both in R (lavaan, MBESS), and in Joreskog (1969) reporting a cfa on the Grant-White school subject subset).

The last two tests are substitute versions for other tests. `paperrev`

(a paper form board test) can substitute for `paper`

and `flagssub`

for the lozenges test `flags`

.

### Source

Holzinger, K., and Swineford, F. (1939).

### References

Holzinger, K., and Swineford, F. (1939). A study in factor analysis: The stability of a bifactor solution. *Supplementary Educational Monograph*, no. **48**. Chicago: University of Chicago Press.
Joreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. *Psychometrika*, **34**, 183-202.

### Examples

data(HS.ability.data)
str(HS.ability.data)
levels(HS.ability.data$school)
plot(flags ~ flagssub, data = HS.ability.data)

[Package

*OpenMx* version 2.7.16

Index]