ItemFit {NPCD} | R Documentation |
Compute item fit statistics for outputs generated by estimation functions in the package
Description
This function computes item fit statistics for outputs generated by estimation functions in the package, including AlphaNP
, AlphaMLE
, ParMLE
, andJMLE
. The function currently provides the RMSEA and Chi-square item fit statistics.
Usage
ItemFit(x, model=NULL, par=NULL)
Arguments
x |
The output from the function (The list of all outputs). |
model |
This needs to be additionally specified only when |
par |
This needs to be additionally specified only when |
Value
RMSEA |
The model-based root mean square error of approximation (Kunina-Habenicht et al., 2012) of each item based on the estimated or given item parameter, Q-vector, and alpha matrix. |
Chisq |
The Q1 Chi-square statistic (Wang et al., 2015; Yen, 1981) of each item based on the estimated or given item parameter, Q-vector, and alpha matrix. |
Chisq.p |
The p-values for the Chi-square statistic for each item. |
Chisq.df |
The degrees of freedom for the Chi-square statistic for each item. |
References
Kunina-Habenicht, O., Rupp, A. A., & Wilhelm, O. (2012). The Impact of Model Misspecification on Parameter Estimation and Item-Fit Assessment in Log0Linear Diagnostic Classification Models. Journal of Educational Measurement, 49(1), 59-81.
Wang, C., Shu, Z., Shagn, Z., & Xu, G. (2015). Assessing Item-Level Fit for the DINA Model. Applied Psychological Measurement, 1-14.
Yen, W. M. (1981). Using Simulation Results to Choose a Latent Trait Model. Applied Psychological Measurement, 5, 245-262.
See Also
AlphaNP
, AlphaMLE
, ParMLE
, JMLE
Examples
# See examples in AlphaNP, AlphaMLE, ParMLE, and JMLE.