holzinger: Holzinger student's ability data
In merolagio/LSSPCA: Computes Least Squares Sparse Principal Components
Description
Usage
Format
Source
References
Description
Holzinger and Swineford (1939) data is widely cited. This dataset
includes only the 12 tests on the Grant-White School students used in Ferrara et al .
Usage
1
Format
A 145 by 12 matrix. The variables are centered to zero mean.
spatial (SPL)
- visual
Visual perception test, a nonlanguage multiple-choice test of spatial relations
- cubes
Cubes test, spatial relations
- flags
Lozenges test, a visual imagery test in two or three dimensions
verbal (VBL)
- paragraph
Paragraph comprehension test, comprehension as measured by completion and multiple-choice questions
- sentence
Sentence completion test, a multiple-choice test in which “correct” answers reflect good judgment on the part of the subject
- wordm
Word meaning test, a multiple-choice vocabulary test
speed (SPD)
- addition
Addition test, speed of adding pairs of one-digit numbers
- counting
Counting groups of dots test, 4–7 dots, arranged in random patterns to be counted by subject
- straight
Straight and curved capitals test, a series of capital letters to be distinguished between those composed of straight lines only and those containing curved lines
mathematical (MTH)
- deduct
Deduction test, logical deduction test using the symbols and the letters
- numeric
Numerical puzzles test, a numerical deduction test, the object being to supply four numbers which will produce four given answers employing the operations of addition, multiplication, or division
- series
Series completion test, from a series of five numbers, the subject is supposed to deduce the rule of procedure from one number to the next and thus supply the sixth number in the series
Source
The complete set of data is included, for example in the R package MBESS.
References
Holzinger, K. J. and Swineford, F. A. (1939). A study in factor analysis: The stability of a bi-factor solution. Supplementary Education Monographs, 48. University of Chicago.
Ferrara, C., Martella, F., and Vichi, M. (2019). Probabilistic disjoint principal component analysis. Multivariate Behavioral Research, 54(1):47–61.
merolagio/LSSPCA documentation built on April 29, 2021, 4:17 p.m.
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Description Usage Format Source References
Description
Holzinger and Swineford (1939) data is widely cited. This dataset includes only the 12 tests on the Grant-White School students used in Ferrara et al .
Usage
1 |
Format
A 145 by 12 matrix. The variables are centered to zero mean.
spatial (SPL)
- visual
Visual perception test, a nonlanguage multiple-choice test of spatial relations
- cubes
Cubes test, spatial relations
- flags
Lozenges test, a visual imagery test in two or three dimensions
verbal (VBL)
- paragraph
Paragraph comprehension test, comprehension as measured by completion and multiple-choice questions
- sentence
Sentence completion test, a multiple-choice test in which “correct” answers reflect good judgment on the part of the subject
- wordm
Word meaning test, a multiple-choice vocabulary test
speed (SPD)
- addition
Addition test, speed of adding pairs of one-digit numbers
- counting
Counting groups of dots test, 4–7 dots, arranged in random patterns to be counted by subject
- straight
Straight and curved capitals test, a series of capital letters to be distinguished between those composed of straight lines only and those containing curved lines
mathematical (MTH)
- deduct
Deduction test, logical deduction test using the symbols and the letters
- numeric
Numerical puzzles test, a numerical deduction test, the object being to supply four numbers which will produce four given answers employing the operations of addition, multiplication, or division
- series
Series completion test, from a series of five numbers, the subject is supposed to deduce the rule of procedure from one number to the next and thus supply the sixth number in the series
Source
The complete set of data is included, for example in the R package MBESS.
References
Holzinger, K. J. and Swineford, F. A. (1939). A study in factor analysis: The stability of a bi-factor solution. Supplementary Education Monographs, 48. University of Chicago.
Ferrara, C., Martella, F., and Vichi, M. (2019). Probabilistic disjoint principal component analysis. Multivariate Behavioral Research, 54(1):47–61.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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