coef | R Documentation |
Extracts the estimated parameters from either grm
, ltm
, rasch
or tpm
objects.
## S3 method for class 'gpcm' coef(object, ...) ## S3 method for class 'grm' coef(object, ...) ## S3 method for class 'ltm' coef(object, standardized = FALSE, prob = FALSE, order = FALSE, ...) ## S3 method for class 'rasch' coef(object, prob = FALSE, order = FALSE, ...) ## S3 method for class 'tpm' coef(object, prob = FALSE, order = FALSE, ...)
object |
an object inheriting from either class |
standardized |
logical; if |
prob |
logical; if |
order |
logical; if |
... |
additional arguments; currently none is used. |
The standardization of the factor loadings is useful in order to form a link to the Underlying Variable approach. In particular, the standardized form of the factor loadings represents the correlation coefficient between the latent variables and the underlying continuous variables based on which the dichotomous outcomes arise (see Bartholomew and Knott, 1999, p.87-88 or Bartholomew et al., 2002, p.191).
The standardized factor loadings are computed only for the linear one- and two-factor models, fitted by ltm()
.
A list or a matrix of the estimated parameters for the fitted model.
Dimitris Rizopoulos d.rizopoulos@erasmusmc.nl
Bartholomew, D. and Knott, M. (1999) Latent Variable Models and Factor Analysis, 2nd ed. London: Arnold.
Bartholomew, D., Steel, F., Moustaki, I. and Galbraith, J. (2002) The Analysis and Interpretation of Multivariate Data for Social Scientists. London: Chapman and Hall.
gpcm
,
grm
,
ltm
,
rasch
,
tpm
fit <- grm(Science[c(1,3,4,7)]) coef(fit) fit <- ltm(LSAT ~ z1) coef(fit, TRUE, TRUE) m <- rasch(LSAT) coef(fit, TRUE, TRUE)
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