This dataset is a
list containing components generated using DINO model, which can be used to test out the estimation functions in the package.
$Q: The Q matrix. Numerical, 20 (item) by 3 (attribute). Binary values: 1=attribute required by the item, 0=attribute not required by the item.
$response: The examinee responses to all items. Numerical, 300 (examinee) by 20 (item). Binary values: 1=correct, 0=incorrect.
$true.alpha: The true examinee ability profiles. Numerical, 300 (examinee) by 3 (attribute). Binary values: 1=examinee masters the attribute, 0=examinee does not master the attribute.
$true.par$slip: The true slipping parameters for each item. Numerical, vector of 20.
$true.par$guess: The true guessing parameters for each item. Numerical, vector of 20.
The format is: List of 4 elements.