create_E_MEPV {cat.dt}R Documentation

MSE of every item for an specified node

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


[Package cat.dt version 0.3.1 Index]