fit_blis | R Documentation |
blis
fits the IRT Nominal Response Model to data from multiple-choice tests,
while accounting for the correct answer and treating this option as a baseline
in this baseline-category logit model. The intercept-slope parametrization in
BLIS can be converted to IRT (difficulty-discrimination) parametrization (BLIRT).
fit_blis(Data, key, ...)
blis(Data, key, ...)
Data |
data.frame or tibble with all columns being factors. Support for matrix is limited and behavior not guaranteed. |
key |
A single-column |
... |
Arguments passed on to
|
For the details on coef
method dispatched for fitted BLIS model, see
coef,BlisClass-method. To get more on the class, see BlisClass.
Fitted model of class BlisClass (extending standard mirt
's
SingleGroupClass
).
Jan Netik
Institute of Computer Science of the Czech Academy of
Sciences
netik@cs.cas.cz
Patricia Martinkova
Institute of Computer Science of the Czech Academy
of Sciences
martinkova@cs.cas.cz
Other BLIS/BLIRT related:
BlisClass-class
,
coef,BlisClass-method
,
get_orig_levels()
,
nominal_to_int()
,
obtain_nrm_def()
,
print.blis_coefs()
fitted_blis <- fit_blis(HCItest[, 1:20], HCIkey, SE = TRUE)
coef(fitted_blis)
coef(fitted_blis)$`Item 12`
coef(fitted_blis, IRTpars = TRUE)
coef(fitted_blis, IRTpars = TRUE, CI = 0.90) # 90% CI instead of 95% CI
coef(fitted_blis, IRTpars = TRUE, printSE = TRUE) # SE instead of CI
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.