computerized_adaptive_test: Computerized Adaptive Test

In caMST: Mixed Computerized Adaptive Multistage Testing

Computerized Adaptive Test

Description

Computerized Adaptive Test

Usage

computerized_adaptive_test(
  cat_item_bank,
  response_matrix,
  initial_theta = 0,
  model = NULL,
  randomesque = 1,
  maxItems = 50,
  method = "BM",
  nextItemControl = list(criterion = "MFI", method = method, priorDist = "norm",
    priorPar = c(0, 1), D = 1, range = c(-4, 4), parInt = c(-4, 4, 33), infoType =
    "Fisher", random.seed = NULL, rule = "precision", thr = 0.3, SETH = NULL, AP = 1,
    nAvailable = NULL, cbControl = NULL, cbGroup = NULL),
  ...
)

Arguments

cat_item_bank	A data frame with the items on the rows and their item parameters on the columns. These should be in the catR package format for item banks.
response_matrix	A matrix of the person responses, with individuals as rows and items as columns.
initial_theta	The initial theta estimate for all individuals. Default is 0.
model	Either NULL (default) for dichotomous models or a character value indicating the polytomous model used. See the mstR package for more details.
randomesque	An integer value that indicates the number of items from which the selection rule should choose from randomly for administration. See the help documentation for catR::nextItem for more details.
maxItems	An integer value indicating the maximum number of items to administer, regardless of other stopping rules.
method	A character value indicating method for the provisional theta estimate. Defaults to "BM" (Bayes Modal). See the catR package for more details.
nextItemControl	A list of control values passed to catR::nextItem. See that function for more details.
...	Further arguments to be passed to internal functions. Currently unimplemented.

Value

An S4 object of class 'CAT' with the following slots:

function.call	The function and arguments called to create this object.
final.theta.estimate	A numeric vector of the final theta estimates using the method provided in function.call.
eap.theta	A numeric vector of the final theta estimates using the expected a posteriori (EAP) theta estimate from catR::eapEst.
final.theta.Baker	A numeric vector of the final theta estimates using an iterative maximum likelihood estimation procedure as described in chapter 5 of Baker (2001).
final.theta.SEM	A numeric vector of the final standard error of measurement (SEM) estimates using an iterative maximum likelihood estimation procedure as described in chapter 5 of Baker (2001)[http://echo.edres.org:8080/irt/baker/final.pdf].
final.items.seen	A matrix of the final items seen by each individual using the supplied item names. NA values indicate that an individual wasn't given any items to answer after the last specified item in their row.
final.responses	A matrix of the responses to the items seen in final.items.seen. NA values indicate that the individual didn't answer the question in the supplied response file or wasn't given any more items to answer.
runtime	A difftime object recording how long the function took to complete.

References

Baker, F. B. (2001). The basics of item response theory. For full text: http://echo.edres.org:8080/irt/baker/final.pdf.

See Also

[mixed_adaptive_test] for a multistage test with a routing module using item-level adaptation.

Examples

data(example_thetas) # 5 simulated abilities
data(example_responses) # 5 simulated responses
data(cat_items) # using just the CAT routing stage items
catResults <- computerized_adaptive_test(cat_item_bank = cat_items,
response_matrix = example_responses, randomesque = 1, maxItems = 3,
nextItemControl = list(criterion = "MFI",
priorDist = "norm", priorPar = c(0, 1), D = 1, range = c(-4, 4),
parInt = c(-4, 4, 33), infoType = "Fisher", randomesque = 1, random.seed = NULL,
rule = "precision", thr = .3, nAvailable = NULL,
cbControl = NULL, cbGroup = NULL))

caMST documentation built on June 25, 2022, 1:06 a.m.