itemfit.rmsea: RMSEA Item Fit
Description
This function estimates a chi squared based measure of item fit
in cognitive diagnosis models as implemented in mdltm (von Davier, 2005;
cited in Kunina-Habenicht, Rupp & Wilhelm, 2009).Usage
itemfit.rmsea(n.ik, pi.k, probs, itemnames=NULL)
Arguments
n.ik
An array of four dimensions: Classes x Items x Categories x Groups
pi.k
An array of two dimensions: Classes x Groups
probs
An array of four dimensions: Classes x Items x Categories x Groups
itemnames
An optional vector of item names. Default is NULL.
Value
- A list with two entries:
- rmseaVector of RMSEA item statistics
- rmsea.groupsMatrix of group-wise RMSEA item statistics
References
Kunina-Habenicht, O., Rupp, A.A., & Wilhelm, O. (2009).
A practical illustration of multidimensional diagnostic skills profiling:
Comparing results from confirmatory factor analysis and diagnostic classification models.
Studies in Educational Evaluation, 35, 64--70.
von Davier, M. (2005). A general diagnostic model applied to language
testing data, Research Report RR-05-16. ETS, Princeton, NJ: ETS.