skill.cor {CDM} | R Documentation |
Tetrachoric or Polychoric Correlations between Attributes
Description
This function takes the results of din
or gdina
and
computes tetrachoric or polychoric correlations between attributes (see e.g.
Templin & Henson, 2006).
Usage
# tetrachoric correlations
skill.cor(object)
# polychoric correlations
skill.polychor(object, colindex=1)
Arguments
object |
Object of class |
colindex |
Index which can used for group-wise calculation of polychoric correlations |
Value
A list with following entries:
conttable.skills |
Bivariate contingency table of all skill pairs |
cor.skills |
Tetrachoric correlation matrix for skill distribution |
References
Templin, J., & Henson, R. (2006). Measurement of psychological disorders using cognitive diagnosis models. Psychological Methods, 11, 287-305.
Examples
data(sim.dino, package="CDM")
data(sim.qmatrix, package="CDM")
# estimate model
d4 <- CDM::din( sim.dino, q.matrix=sim.qmatrix)
# compute tetrachoric correlations
CDM::skill.cor(d4)
## estimated tetrachoric correlations
## $cor.skills
## V1 V2 V3
## V1 1.0000000 0.2567718 0.2552958
## V2 0.2567718 1.0000000 0.9842188
## V3 0.2552958 0.9842188 1.0000000
[Package CDM version 8.2-6 Index]