create_levels: CAT decision tree level generator

In cat.dt: Computerized Adaptive Testing and Decision Trees

Description

Generates a list of node lists for a specific level of the CAT decision tree

Usage

create_levels(
  nodes_prev,
  bank,
  crit,
  C,
  nres,
  level,
  prob_array,
  limit,
  tol,
  inters,
  SE
)

Arguments

nodes_prev	list of node lists of the nodes from the previous level
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
C	vector of item capacities
nres	vector of number of possible responses for every item
level	level number
prob_array	3-D array of probability responses. Dim 1 represent items, dim 2 represent evaluated ability levels and dim 3 represent possible responses
limit	maximum number of level nodes
tol	maximum distance between estimated ability levels in the nodes of the evaluated pair in order to consider whether to join them
inters	minimum common area between density functions in the nodes of the evaluated pair in order to join them
SE	minimum standard error of the ability level

Value

A list of lists and a scalar. Each of the lists represent a node of the specified level of the decision tree, and the scalar represents if the created level is the last (1) or not (0) due to the SE stopping criterion

Author(s)

Javier Rodr?guez-Cuadrado

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