skillspace.approximation: Skill Space Approximation

In CDM: Cognitive Diagnosis Modeling

Skill Space Approximation

Description

This function approximates the skill space with K skills to approximate a (typically high-dimensional) skill space of 2^K classes by L classes (L < 2^K). The large number of latent classes are represented by underlying continuous latent variables for the dichotomous skills (see George & Robitzsch, 2014, for more details).

Usage

skillspace.approximation(L, K, nmax=5000)

Arguments

L	Number of skill classes used for approximation
K	Number of skills
nmax	Number of quasi-randomly generated skill classes using the QUnif function in sfsmisc

Value

A matrix containing skill classes in rows

Note

This function uses the sfsmisc::QUnif function from the sfsmisc package.

References

George, A. C., & Robitzsch, A. (2014). Multiple group cognitive diagnosis models, with an emphasis on differential item functioning. Psychological Test and Assessment Modeling, 56(4), 405-432.

See Also

See also gdina (Example 9).

Examples

#############################################################################
# EXAMPLE 1: Approximate a skill space of K=8 eight skills by 20 classes
#############################################################################

#=> 2^8=256 latent classes if all latent classes would be used
CDM::skillspace.approximation( L=20, K=8 )
  ##             [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
  ##   P00000000    0    0    0    0    0    0    0    0
  ##   P00000001    0    0    0    0    0    0    0    1
  ##   P00001011    0    0    0    0    1    0    1    1
  ##   P00010011    0    0    0    1    0    0    1    1
  ##   P00101001    0    0    1    0    1    0    0    1
  ##   [...]
  ##   P11011110    1    1    0    1    1    1    1    0
  ##   P11100110    1    1    1    0    0    1    1    0
  ##   P11111111    1    1    1    1    1    1    1    1

CDM documentation built on Aug. 25, 2022, 5:08 p.m.