simCAT_DC: Simulated Single-Item Format CAT Data
In irtQ: Unidimensional Item Response Theory Modeling
simCAT_DC R Documentation
Simulated Single-Item Format CAT Data
Description
A simulated dataset containing an item pool, sparse response data, and
examinee ability estimates, designed for single-item computerized adaptive
testing (CAT).
Usage
simCAT_DC
Format
A list of length three:
- item_pool
A data frame in item metadata format containing 100 dichotomous items.
Items 1-90: Generated and calibrated under the IRT 2PL model.
Items 91-100: Generated under the IRT 3PL model but calibrated using the 2PL model.
- response_data
A sparse matrix of item responses from 10,000 examinees.
- theta_estimates
A numeric vector of ability estimates for the 10,000 examinees.
Author(s)
Hwanggyu Lim hglim83@gmail.com
irtQ documentation built on July 27, 2026, 9:08 a.m.
R Package Documentation
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| simCAT_DC | R Documentation |
Simulated Single-Item Format CAT Data
Description
A simulated dataset containing an item pool, sparse response data, and examinee ability estimates, designed for single-item computerized adaptive testing (CAT).
Usage
simCAT_DC
Format
A list of length three:
- item_pool
A data frame in item metadata format containing 100 dichotomous items.
Items 1-90: Generated and calibrated under the IRT 2PL model.
Items 91-100: Generated under the IRT 3PL model but calibrated using the 2PL model.
- response_data
A sparse matrix of item responses from 10,000 examinees.
- theta_estimates
A numeric vector of ability estimates for the 10,000 examinees.
Author(s)
Hwanggyu Lim hglim83@gmail.com
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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