create_level_1: Level 1 CAT decision tree generator

In cat.dt: Computerized Adaptive Testing and Decision Trees

Description

Generates a list of nodes lists for the first level of the CAT decision tree

Usage

create_level_1(bank, crit, dens_vec, C, nres, prob_array)

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
crit	item selection criterion. Options: "MEPV" for Minimum Expected Posterior Variance and "MFI" for Maximum Fisher Information
dens_vec	vector of the a priori density function values of the evaluated ability levels
C	vector of item capacities
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

Value

A list of lists. Each of these lists represent a node of the first level of the decision tree

Author(s)

Javier Rodr?guez-Cuadrado

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