select_max_info: Item selection by maximum Fisher information.

In meow: Unified Framework for Computer Adaptive Testing Simulations

Item selection by maximum Fisher information.

Description

Administers the remaining item with the highest information for each respondent, computed from the current parameter estimates and a 2PL item response function.

Usage

select_max_info(pers, item, R, admin, adj_mat = NULL)

Arguments

pers	A data frame of current respondent ability estimates.
item	A data frame of current item parameter estimates.
R	A respondent-by-item matrix of potential responses.
admin	An integer administration matrix; 0 indicates an item has not been administered to a respondent. See meow() for details.
adj_mat	An item-item adjacency matrix. See construct_adj_mat().

Value

An updated administration matrix with the most informative remaining item marked for each respondent.

Examples

sim <- meow(select_max_info, update_theta_mle, data_simple_1pl,
            data_args = list(N_persons = 10, N_items = 10), fix = "item")
nrow(sim$results)

meow documentation built on July 6, 2026, 5:11 p.m.