Calculate various absolute model-data fit statistics
modelfit(GDINA.obj, CI = 0.9, ItemOnly = FALSE)An estimated model object of class GDINA
numeric value from 0 to 1 indicating the range of the confidence interval for RMSEA. Default returns the 90% interval.
should joint attribute distribution parameters be considered? Default = FALSE. See Ma (2019).
Various model-data fit statistics including M2 statistic for G-DINA model with dichotmous responses (Liu, Tian, & Xin, 2016; Hansen, Cai, Monroe, & Li, 2016) and for sequential G-DINA model with graded responses (Ma, 2020). It also calculates SRMSR and RMSEA2.
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, 225--252.
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, 3-26.
Ma, W. (2020). Evaluating the fit of sequential G-DINA model using limited-information measures. Applied Psychological Measurement, 44, 167-181.
Ma, W., & de la Torre, J. (2020). GDINA: An R Package for Cognitive Diagnosis Modeling. Journal of Statistical Software, 93(14), 1-26.
Maydeu-Olivares, A. (2013). Goodness-of-Fit Assessment of Item Response Theory Models. Measurement, 11, 71-101.
if (FALSE) {
dat <- sim10GDINA$simdat
Q <- sim10GDINA$simQ
mod1 <- GDINA(dat = dat, Q = Q, model = "DINA")
modelfit(mod1)
}