Description Usage Arguments Value Author(s) Examples
View source: R/CAT_ability_est_group.R
Computes the test takers' estimated ability level based on the CAT decision tree previously built and the test takers' responses to every item at every tree level
1 | CAT_ability_est_group(cat.dt, res)
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cat.dt |
A |
res |
Matrix containing the test takers' responses to every item. Rows represent each individual and columns represent the responses given to each item |
A list of lists containing the following elements for each individual:
$estimation
Estimated ability level after each level of the tree.
$linf
Lower limit of the final estimation at 95
$lsup
Upper limit of the final estimation at 95
$items
Administered item in each level.
$graphics
Plot object of the evolution of the ability level
estimation. It shows the ability level estimation after the individual
has answered to every administered item.
Javier RodrÃguez-Cuadrado
1 2 3 4 5 6 7 8 | # data("itemBank")
# Build the cat.dt
# nodes = CAT_DT(bank = itemBank, model = "GRM", crit = "MEPV",
# C = 0.3, stop = c(2, 0.5), limit = 100, inters = 0.8,
# p = 0.8, dens = dnorm, 0, 1)
# Estimate the ability level of a subject with responses res
# CAT_ability_est_group(nodes, res = itemRes)
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