create_E_MEPV: MSE of every item for an specified node

In cat.dt: Computerized Adaptive Testing and Decision Trees

Description

Computes a vector of the mean squared error of every item allocated to the specified level node in the CAT decision tree. Every MSE is computed using the ability level density function in the specified node and the ability level estimations given the item responses

Usage

create_E_MEPV(bank, dens_vec, nres, prob_array, C)

Arguments

bank	matrix of the item bank. Rows represent items, and columns represent parameters. If the model is "GRM", the first column represents the alpha parameters and the next columns represent the beta parameters. If the model is "NRM", odd columns represent the alpha parameters and even columns represent beta parameters
dens_vec	vector of the density function values in the specified node of the evaluated ability levels
nres	vector of number of possible responses for every item
prob_array	3-D array of probability responses. Dim 1 represent items, dim 2 represent evaluated ability levels and dim 3 represent possible responses
C	vector of item capacities

Value

A vector of all item MSE for the specified node

Author(s)

Javier Rodr?guez-Cuadrado

cat.dt documentation built on March 31, 2021, 5:07 p.m.