cog_cat: Cognitive Testing Using Computerized Adaptive Testing

In mlthom/CogIRT: Cognitive Testing Using Item Response Theory

Cognitive Testing Using Computerized Adaptive Testing

Description

This function takes an rda file or list with select objects and returns omega estimates, an information matrix, and the next best list to administer for computerized adaptive testing. Adapting testing using D-optimality (see Segall 2009).

Usage

cog_cat(rda = NULL, obj_fun = NULL, int_par = NULL)

Arguments

obj_fun	A function that calculates predictions and log-likelihood values for the selected model (character).
int_par	Intentional parameters. That is, the parameters to optimize precision (scalar).
x	.rda file (or list) containing all objects necessary to run rmmh.

References

Segall, D. O. (2009). Principles of Multidimensional Adaptive Testing. In W. J. van der Linden & C. A. W. Glas (Eds.), Elements of Adaptive Testing (pp. 57-75). https://doi.org/10.1007/978-0-387-85461-8_3

Examples

rda = sdirtSS
rda$list <- c(sapply(X = 1:(length(rda$y) / 5), FUN = rep, 5))
rda$y[which(!rda$list %in% c(1))] <- NA
cog_cat(rda = rda, obj_fun = dich_response_model, int_par = 1)

mlthom/CogIRT documentation built on June 13, 2022, 7:45 a.m.