Model fit statistics
Calculate various absolute model-data fit statistics
modelfit(GDINA.obj, CI = 0.9, ItemOnly = FALSE)
GDINA.obj |
An estimated model object of class |
CI |
numeric value from 0 to 1 indicating the range of the confidence interval for RMSEA. Default returns the 90% interval. |
ItemOnly |
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.
Wenchao Ma, The University of Alabama, wenchao.ma@ua.edu
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.
## Not run: dat <- sim10GDINA$simdat Q <- sim10GDINA$simQ mod1 <- GDINA(dat = dat, Q = Q, model = "DINA") modelfit(mod1) ## End(Not run)
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