data.pisaPars


This data frame contains item parameters from two PISA studies. 
Because the Rasch model is used, only item difficulties are considered.


datasets


Supplementary item response theory models to complement existing
functions in R, including multidimensional compensatory and
noncompensatory IRT models, MCMC for hierarchical IRT models and
testlet models, NOHARM, Rasch copula model, faceted and
hierarchical rater models, ordinal IRT model (ISOP),
DETECT statistic, local structural equation modeling (LSEM),
mean and covariance structure modelling for multivariate normally
distributed data.

Alexander Robitzsch

sirt

Supplementary Item Response Theory Models

data.pisaPars function

A data frame with 25 observations on the following 4 variables. 
  <dl> </dl> 

data.pisaPars: Item Parameters from Two PISA Studies

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