GDINA: CA – R documentation

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CA

Calculate classification accuracy

Description

This function calculate test-, pattern- and attribute-level classification accuracy indices based on GDINA estimates from the GDINA function using approaches in Iaconangelo (2017) and Wang, Song, Chen, Meng, and Ding (2015). It is only applicable for dichotomous attributes.

Usage

CA(GDINA.obj, what = "MAP")

Arguments

`GDINA.obj`	estimated GDINA object returned from `GDINA`
`what`	what attribute estimates are used? Default is `"MAP"`.

Value

a list with elements

tau: estimated test-level classification accuracy, see Iaconangelo (2017, Eq 2.2)
tau_l: estimated pattern-level classification accuracy, see Iaconangelo (2017, p. 13)
tau_k: estimated attribute-level classification accuracy, see Wang, et al (2015, p. 461 Eq 6)
CCM: Conditional classification matrix, see Iaconangelo (2017, p. 13)

Author(s)

Wenchao Ma, The University of Alabama, wenchao.ma@ua.edu

References

Iaconangelo, C.(2017). Uses of Classification Error Probabilities in the Three-Step Approach to Estimating Cognitive Diagnosis Models. (Unpublished doctoral dissertation). New Brunswick, NJ: Rutgers University.

Ma, W., & de la Torre, J. (2020). GDINA: An R Package for Cognitive Diagnosis Modeling. Journal of Statistical Software, 93(14), 1-26.

Wang, W., Song, L., Chen, P., Meng, Y., & Ding, S. (2015). Attribute-Level and Pattern-Level Classification Consistency and Accuracy Indices for Cognitive Diagnostic Assessment. Journal of Educational Measurement, 52 , 457-476.

Examples

## Not run: 
dat <- sim10GDINA$simdat
Q <- sim10GDINA$simQ
fit <- GDINA(dat = dat, Q = Q, model = "GDINA")
fit
CA(fit)

## End(Not run)

GDINA

The Generalized DINA Model Framework

v2.8.0

GPL-3

Authors

Wenchao Ma [aut, cre, cph], Jimmy de la Torre [aut, cph], Miguel Sorrel [ctb], Zhehan Jiang [ctb]

Initial release

2020-05-23

CA