Description Usage Arguments Value References See Also Examples
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.
1 |
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 |
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. |
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.
AlphaNP
, AlphaMLE
, ParMLE
, JMLE
1 | # See examples in AlphaNP, AlphaMLE, ParMLE, and JMLE.
|
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