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:
idstudent ID number (int)
GenderSex (Factor w/ 2 levels “Female” and “Male”)
gradeGrade in school (integer 7 or 8)
ageyAge in years (integer)
agemAge in months (integer)
schoolSchool attended (Factor w/2 levels “Grant-White” and “Pasteur”)
additionA speed test of addition (numeric)
codeA speed test (numeric)
countingA speed test of counting groups of dots (numeric)
straightA speed test discriminating straight and curved capitals (numeric)
wordrA memory subtest of word recognition
numberrA memory subtest of number recognition
figurerA memory subtest of figure recognition
objectA memory subtest: object-number test
numberfA memory subtest: number-figure test
figurewA memory subtest: figure-word test
deductA mathematical subtest of deduction
numericA mathematical subtest of numerical puzzles
problemrA mathematical subtest of problem reasoning
seriesA mathematical subtest of series completion
arithmetA mathematical subtest: Woody-McCall mixed fundamentals, form I
visualA spatial subtest of visual perception
cubesA spatial subtest
paperA spatial subtest paper form board
flagsA spatial subtest (also known as lozenges)
paperrevA spatial subtest additional paper form board test (can substitute for paper)
flagssubA spatial subtest additional lozenges test (can substitute for flags)
generalA verbal subtest of general information
paragrapA verbal subtest of paragraph comprehension
sentenceA verbal subtest of sentence completion
wordcA verbal subtest of word classification
wordmA 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). 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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