Shadow is a test assembly function for performing adaptive test assembly based on the generalized shadow-test framework.
Shadow(
config,
constraints = NULL,
true_theta = NULL,
data = NULL,
prior = NULL,
prior_par = NULL,
exclude = NULL,
include_items_for_estimation = NULL,
force_solver = FALSE,
session = NULL,
seed = NULL,
cumulative_usage_matrix = NULL
)
# S4 method for class 'config_Shadow'
Shadow(
config,
constraints = NULL,
true_theta = NULL,
data = NULL,
prior = NULL,
prior_par = NULL,
exclude = NULL,
include_items_for_estimation = NULL,
force_solver = FALSE,
session = NULL,
seed = NULL,
cumulative_usage_matrix = NULL
)a config_Shadow object. Use createShadowTestConfig for this.
a constraints object representing test specifications. Use loadConstraints for this.
(optional) true theta values to use in simulation. Either true_theta or data must be supplied.
(optional) a matrix containing item response data to use in simulation. Either true_theta or data must be supplied.
(optional) density at each config@theta_grid to use as prior.
Must be a length-nq vector or a nj * nq matrix.
This overrides prior_dist and prior_par in the config.
prior and prior_par cannot be used simultaneously.
(optional) normal distribution parameters c(mean, sd) to use as prior.
Must be a length-nq vector or a nj * nq matrix.
This overrides prior_dist and prior_par in the config.
prior and prior_par cannot be used simultaneously.
(optional) a list containing item names in $i and set names in $s to exclude from selection for each participant. The length of the list must be equal to the number of participants.
(optional) an examinee-wise list containing:
administered_item_pool items to include in theta estimation as item_pool object.
administered_item_resp item responses to include in theta estimation.
if TRUE, do not check whether the solver is one of recommended solvers for complex problems (set-based assembly, partitioning). (default = FALSE)
(optional) used to communicate with Shiny app TestDesign.
(optional) used to perform data generation internally.
(optional) a *nj* by (*ni* + *ns*) matrix containing the number of times the item/stimulus was administered previously to each participant. Stimuli representations are appended to the right side of the matrix.
Shadow returns an output_Shadow_all object containing assembly results.
van der Linden, W. J., Reese, L. M. (1998). A model for optimal constrained adaptive testing. Applied Psychological Measurement, 22, 259-270.
van der Linden, W. J. (1998). Optimal assembly of psychological and educational tests. Applied Psychological Measurement, 22, 195-211.
van der Linden, W. J. (2000). Optimal assembly of tests with item sets. Applied Psychological Measurement, 24, 225-240.
van der Linden, W. J. (2005). Linear models for optimal test design. Springer Science & Business Media.
config <- createShadowTestConfig()
true_theta <- rnorm(1)
solution <- Shadow(config, constraints_science, true_theta)
#> Loading required namespace: progress
solution@output
#> [[1]]
#> Simulee index : 1
#> True theta : 0.2553171
#> Final theta estimate : -0.01452494
#> Final SE estimate : 0.2214864
#> stage stimulus_index item_index item_resp item_ncat interim_theta interim_se
#> 1 1 NA 567 2 3 0.8408900050 0.7021182
#> 2 2 NA 914 2 3 1.1452400899 0.6476122
#> 3 3 NA 692 0 2 0.8320395678 0.5280006
#> 4 4 NA 688 0 2 0.5638379295 0.4659747
#> 5 5 NA 42 0 2 0.3358363363 0.4333993
#> 6 6 NA 795 2 3 0.4203247484 0.4097267
#> 7 7 NA 294 0 3 0.1843822707 0.3818226
#> 8 8 NA 587 0 3 -0.0303490372 0.3635148
#> 9 9 NA 92 1 2 0.0417991774 0.3547410
#> 10 10 NA 4 1 2 0.0561514909 0.3522803
#> 11 11 NA 435 2 3 0.1516144671 0.3294754
#> 12 12 NA 290 1 4 0.0739620374 0.3079854
#> 13 13 NA 291 2 3 0.1292909909 0.3000387
#> 14 14 NA 664 0 2 0.0368010907 0.2903680
#> 15 15 NA 120 0 2 -0.0135372682 0.2832403
#> 16 16 NA 428 1 2 0.0008858842 0.2806906
#> 17 17 NA 3 1 2 0.0237986032 0.2791061
#> 18 18 NA 421 0 2 -0.0222285282 0.2762465
#> 19 19 NA 935 1 2 -0.0069517655 0.2746213
#> 20 20 NA 517 1 2 0.0048120961 0.2732242
#> 21 21 NA 382 2 3 0.0817837476 0.2648621
#> 22 22 NA 946 0 3 0.0038400514 0.2545641
#> 23 23 NA 563 1 3 0.0513429569 0.2480913
#> 24 24 NA 263 1 3 0.0354961697 0.2411458
#> 25 25 NA 791 1 3 0.0873338249 0.2361395
#> 26 26 NA 680 1 3 0.1002898940 0.2314077
#> 27 27 NA 925 0 3 0.0664745642 0.2265977
#> 28 28 NA 362 0 3 0.0350019502 0.2234466
#> 29 29 NA 352 0 2 0.0104728240 0.2221938
#> 30 30 NA 679 0 2 -0.0145249360 0.2214864
#> theta_segment
#> 1 4
#> 2 5
#> 3 5
#> 4 5
#> 5 5
#> 6 4
#> 7 4
#> 8 4
#> 9 4
#> 10 4
#> 11 4
#> 12 4
#> 13 4
#> 14 4
#> 15 4
#> 16 4
#> 17 4
#> 18 4
#> 19 4
#> 20 4
#> 21 4
#> 22 4
#> 23 4
#> 24 4
#> 25 4
#> 26 4
#> 27 4
#> 28 4
#> 29 4
#> 30 4
#>
#>