For diagnostic classification models, the M2 statistic is calculated as described by Hansen et al. (2016) and Liu et al. (2016).
Usage
# S3 method for class '`measr::measrdcm`'
fit_m2(model, ..., ci = 0.9, force = FALSE)
Arguments
- model
An estimated diagnostic classification model.
- ...
Unused, for extensibility.
- ci
The confidence interval for the RMSEA.
- force
If the M2 has already been saved to the model object with
add_fit()
, should it be recalculated. Default isFALSE
.
Value
A data frame created by dcm2::fit_m2()
.
References
Hansen, M., Cai, L., Monroe, S., & Li, Z. (2016). Limited-information goodness-of-fit testing of diagnostic classification item response models. British Journal of Mathematical and Statistical Psychology, 69(3), 225-252. doi:10.1111/bmsp.12074
Liu, Y., Tian, W., & Xin, T. (2016). An application of M2 statistic to evaluate the fit of cognitive diagnostic models. Journal of Educational and Behavioral Statistics, 41(1), 3-26. doi:10.3102/1076998615621293