TestDesign (version 1.1.3)

Shadow: Run adaptive test assembly

Description

Shadow is a test assembly function to perform adaptive test assembly based on the generalized shadow-test framework.

Usage

Shadow(
  config,
  constraints = NULL,
  true_theta = NULL,
  data = NULL,
  prior = NULL,
  prior_par = NULL,
  excluded_items = NULL,
  force_solver = FALSE,
  session = NULL
)
# S4 method for config_Shadow
Shadow(
  config,
  constraints = NULL,
  true_theta = NULL,
  data = NULL,
  prior = NULL,
  prior_par = NULL,
  excluded_items = NULL,
  force_solver = FALSE,
  session = NULL
)

Arguments

config

a '>config_Shadow object. Use createShadowTestConfig for this.

constraints

a '>constraints object representing test specifications. Use loadConstraints for this.

true_theta

(optional) true theta values to use in simulation. Either true_theta or data must be supplied.

data

(optional) a matrix containing item response data to use in simulation. Either true_theta or data must be supplied.

prior

(optional) prior density at each config@theta_grid. This overrides prior_par. Can be a vector to use the same prior for all nj participants, or a nj-row matrix to use a different prior for each participant.

prior_par

(optional) normal distribution parameters c(mean, sd) to use as prior. Can be a vector to use the same prior for all nj participants, or a nj-row matrix to use a different prior for each participant.

excluded_items

(optional) a list containing item names to exclude from selection for each participant.

force_solver

if TRUE, do not check whether the solver is one of recommended solvers for doing set-based assembly. Has no effect on discrete assembly. (default = FALSE)

session

(optional) used to communicate with Shiny app TestDesign.

Value

Shadow returns an '>output_Shadow_all object containing assembly results.

References

van der Linden, W. J., Reese, L. M. (1998). A model for optimal constrained adaptive testing. Applied Psychological Measurement, 22, 259<U+2013>270.

van der Linden, W. J. (1998). Optimal assembly of psychological and educational tests. Applied Psychological Measurement, 22, 195<U+2013>211.

van der Linden, W. J. (2000). Optimal assembly of tests with item sets. Applied Psychological Measurement, 24, 225<U+2013>240.

van der Linden, W. J. (2005). Linear models for optimal test design. Springer Science & Business Media.

Examples

# NOT RUN {
config <- createShadowTestConfig()
true_theta <- rnorm(1)
solution <- Shadow(config, constraints_science, true_theta)
solution@output
# }