HS.ability.data | R Documentation |
This classic data set contains of intelligence-test scores from 301 children on 26 tests of cognitive ability.
The tests cover mental speed, memory, mathematical-ability, spatial, and verbal ability as listed below.
The data are also available in the MBESS package.
data("HS.ability.data")
A data frame comprising 301 observations on 22 variables:
id
student ID number (int)
Gender
Sex (Factor w/ 2 levels “Female” and “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 of addition (numeric)
code
A speed test (numeric)
counting
A speed test of counting groups of dots (numeric)
straight
A speed test discriminating straight and curved capitals (numeric)
wordr
A memory subtest of word recognition
numberr
A memory subtest of number recognition
figurer
A memory subtest of figure recognition
object
A memory subtest: object-number test
numberf
A memory subtest: number-figure test
figurew
A memory subtest: figure-word test
deduct
A mathematical subtest of deduction
numeric
A mathematical subtest of numerical puzzles
problemr
A mathematical subtest of problem reasoning
series
A mathematical subtest of series completion
arithmet
A mathematical subtest: Woody-McCall mixed fundamentals, form I
visual
A spatial subtest of visual perception
cubes
A spatial subtest
paper
A spatial subtest paper form board
flags
A spatial subtest (also known as lozenges)
paperrev
A spatial subtest additional paper form board test (can substitute for paper)
flagssub
A spatial subtest additional lozenges test (can substitute for flags)
general
A verbal subtest of general information
paragrap
A verbal subtest of paragraph comprehension
sentence
A verbal subtest of sentence completion
wordc
A verbal subtest of word classification
wordm
A verbal subtest of word meaning
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
, and MBESS
), and in Joreskog (1969) reporting a CFA on the Grant-White school subject subset.
Some tests are alternate or substitute forms, e.g. paperrev
(a paper form board test) can substitute for paper
and flagssub
for the lozenges test flags
.
Holzinger, K., and Swineford, F. (1939).
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.
data(HS.ability.data)
str(HS.ability.data)
levels(HS.ability.data$school)
plot(flags ~ flagssub, data = HS.ability.data)
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