fit_m2.measrdcm {measr} | R Documentation |
For diagnostic classification models, the M2 statistic is calculated as described by Hansen et al. (2016) and Liu et al. (2016).
## S3 method for class 'measrdcm'
fit_m2(model, ci = 0.9, ...)
model |
An estimated diagnostic classification model. |
ci |
The confidence interval for the RMSEA. |
... |
Unused, for extensibility. |
A data frame created by dcm2::fit_m2()
.
fit_m2(measrdcm)
: M2 for
diagnostic classification models.
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
rstn_mdm_lcdm <- measr_dcm(
data = mdm_data, missing = NA, qmatrix = mdm_qmatrix,
resp_id = "respondent", item_id = "item", type = "lcdm",
method = "optim", seed = 63277, backend = "rstan"
)
fit_m2(rstn_mdm_lcdm)